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Hypervolt is one of the UK's fastest-growing EV charging and home-energy technology companies. Our mission is to accelerate the shift to clean energy by delivering beautifully designed, ultra-smart EV chargers that seamlessly integrate with the modern energy ecosystem. We work closely with energy suppliers, utilities, home-energy platforms, and large enterprises to enable grid-smart charging, dynamic tariffs, and high-value customer propositions. We are now seeking a highly strategic and commercially outstanding Head of Partnerships to lead, grow, and deepen our enterprise relationships across the energy sector and strategic target accounts. The Role The Head of Partnerships will own Hypervolt's most critical enterprise relationships within the UK energy ecosystem-including Octopus Energy, EDF, OVO, and other major utilities. You will lead enterprise sales cycles end-to-end, drive new business acquisition, and manage ongoing partnership expansion across hardware, software, and integrated charging solutions. This is a senior, high-visibility role requiring exceptional commercial acumen, consultative sales expertise, and a strong understanding of technical integrations involving APIs, smart energy platforms, and grid-optimised charging solutions such as Ultra Grid. Key Responsibilities 1. Own Strategic Energy & Utility Partnerships Manage and expand enterprise relationships with key partners including Octopus, EDF, OVO , and other strategic energy players. Act as the executive-level point of contact, building deep, trust-based relationships with senior decision-makers, product teams, and commercial leads. Develop and execute joint business plans, partner roadmaps, and long-term collaboration strategies. Run highly structured, process-driven enterprise sales cycles-from initial discovery to proposal, negotiation, and close. Engage senior stakeholders including C-suite, heads of product, and commercial leadership. Align Hypervolt's hardware, software, and API capabilities to partner needs and technical requirements. 3. Drive New Business Acquisition ("Hunter" Mindset) Proactively identify, engage, and close new enterprise opportunities across the energy, utility, home-energy, and large enterprise space. Develop creative strategic angles and value propositions to differentiate Hypervolt in competitive bids. Build a strong outbound pipeline through market mapping, proactive prospecting, and network leverage. 4. Data-Driven Management & Accurate Forecasting Maintain rigorous pipeline hygiene and deal progression within HubSpot or similar enterprise CRM tools. Deliver accurate sales forecasting across quarterly and annual horizons. Use analytics to refine partner prioritisation, deal strategy, and revenue pacing. 5. Apply Consultative Sales Methodologies Deploy structured sales methodologies (e.g., MEDDIC, SPIN, Challenger, or Solution Selling). Lead sophisticated discovery to uncover partner goals, technical requirements, commercial constraints, and organisational dynamics. Translate complex partner needs into actionable commercial and technical solutions with internal teams. 6. Navigate Technical Integrations & Hardware Requirements Understand Hypervolt's hardware, firmware, smart-charging capabilities, and API ecosystem (e.g., Ultra Grid). Partner closely with Product, Engineering, and Operations teams to ensure smooth integration, testing, and deployment. Articulate technical requirements and constraints clearly to enterprise partners. About You 7+ years in enterprise partnerships, business development, or enterprise sales-ideally in energy, utilities, EV charging, or IoT hardware. Proven ability to sell or partner with large enterprises on hardware + platform/API solutions. Experience managing complex, multi-stakeholder enterprise sales cycles with C-level influence. Strong understanding of the UK energy landscape (tariffs, smart charging, dynamic load management, installers, energy retailers). Process-driven operator with exceptional organisational discipline and forecasting accuracy. Strong hunter mindset: proactive, persistent, and strategic in generating new opportunities. Exceptional communicator who can simplify technical concepts and build trust with senior stakeholders. Passion for clean energy, electrification, and modernising the grid. Why Join Hypervolt? Shape the future of the UK's energy ecosystem and EV charging landscape. Take ownership of Hypervolt's most strategic partnerships and market-making opportunities. Work with a mission-driven, innovative team committed to accelerating the clean-energy transition. Competitive compensation, hybrid working, and high autonomy to drive major commercial impact.

About the Company Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry leading expertise, analytics powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end to end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at . About the Team (Life Science Engagement ) Dassault Systèmes (DS), with 40 years of experience transforming the way products are designed, produced and supported has combined with MEDIDATA, developers of the world's most used platform for clinical development, commercial and real world data. Our Life Sciences sales and marketing teams bring together all of Dassault Systèmes Life Sciences capabilities in one go to market organization called Life Sciences Engagement (LSE), providing our clients with Life Sciences domain focus and expertise to accelerate their business. As one organization we are leading the transformation in Life Sciences. Unique in the industry, we provide our clients with an integrated business and scientific platform from discovery and preclinical development, clinical trials, manufacturing, quality, regulatory, and commercialization. Discover the future of Life Sciences at and come join us! Responsibilities Our client Executive achieves booking, revenue, & profit goals within their assigned account territories, including identifying sales opportunities through daily prospecting, qualifying opportunities, and efficiently applying Medidata/Dassault Systemes resources to bring opportunities to successful conclusion. Client Executives build consultative, long term relationships with their customers to create tailored, cost effective solutions. Personal involvement in customer relationships and high levels of customer satisfaction are essential to remain consistent with Medidata/Dassault Systemes business principals. This sales role is territory based with a focus on field work for customer visits, but it's also office based in general and reports to the Manager of BIOVIA & BRAND sales, LSE Korea. Build and execute a comprehensive sales strategy to expand Dassault Systèmes' footprint in the Korean Life Sciences market. Achieve and exceed quarterly/annual revenue targets and profit goals within the assigned territory. Develop and maintain a robust sales pipeline through proactive prospecting, cold calling, and lead generation. Manage the end to end sales cycle, from initial contact and solution presenting to closing complex enterprise software transactions. Engage deeply with functional groups within Pharma/Biotech organizations, specifically targeting R&D, QC, QA, and IT departments. Act as a trusted advisor by providing thought leadership on industry trends, digital transformation, and the specific value proposition of Dassault Systèmes' solutions. Drive consultative engagements by leading workshops and brainstorming sessions to solve client specific challenges and deliver a clear 3D Experience Platform's value. Provide strategic guidance on RFX responses, ensuring solutions are scoped to meet both technical requirements and executive level business goals. Establish and nurture long term relationships with "C-Level" decision makers and key stakeholders to build customer loyalty and high retention rates. Collaborate cross functionally with Pre Sales, Marketing, Professional Services, and Partners to ensure seamless solution delivery and customer success. Coordinate internal resources effectively to navigate complex sales environments and accelerate deal closures. Maintain rigorous sales discipline by updating Salesforce/My Sales Pipeline and providing accurate weekly/monthly forecasting. Demonstrate high integrity and professional ethics, ensuring open and honest communication both internally and externally. Support marketing initiatives by participating in webinars, industry conferences, and white paper development to increase brand awareness in the Life Sciences sector. Qualification & Experience 5+ years of proven success in enterprise software sales or solution consulting, with a focus on high touch complex deals. Deep understanding of the Life Sciences industry, including a strong grasp of the end to end sales cycle within pharmaceutical and biotech sectors. Hands on knowledge of laboratory and manufacturing workflows, specifically within R&D processes, QC/QA environments, and Manufacturing. Proven track record of C-level engagement, with the ability to build trust and manage relationships with senior executives and key decision makers. Strong sales operational skills, including territory planning, pipeline management, and a consistent history of meeting or exceeding quarterly/annual quotas. Solid understanding of GMP (Good Manufacturing Practice) and regulatory compliance requirements within the Life Sciences industry. Familiarity with industry standard solutions such as LIMS, ELN, EDMS, PLM, or QMS (Highly preferred). Ability to translate complex technical capabilities into clear business value for diverse stakeholder groups (R&D, IT, QA, etc.). Education & Skill Bachelor's Degree required; preferably in Life Sciences (Biology, Chemistry, Pharmacy), Bioengineering, or a related Business/Information Technology field. Business level proficiency in English: Ability to collaborate with global teams, participate in international meetings, and understand technical documentation from headquarters. Solution Proficiency: Intermediate to advanced knowledge of enterprise platforms (e.g., LIMS, ELN, QMS, or PLM). Consultative Selling: Mastery of value based selling methodologies to identify pain points and propose integrated solution sets. Analytical Thinking: Ability to analyze market trends and competitor activity to build data driven territory plans. Presentation Excellence: Skilled in delivering high impact presentations and solution demonstrations to both technical users and C level executives. Integrity & Trustworthiness: High ethical standards in managing sensitive client data and internal transparency.

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom

Overview Location: London Other locations: Primary Location Only Date: 7 Oct 2025 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager - Data Engineering - Databricks Architect London/ Edinburgh The opportunity The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for an exceptional Senior Manager to lead on developing our Data Engineering Capability with an initial focus on Databricks. This is a senior architecture role and will require an individual with an exceptional track record of delivering data transformation programs in the Financial Services sector. The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas which all work closely together: Data Architecture & Engineering - Focusing on next generation data solution architecture design and implementation Data Management & Strategy - Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also help them design and implement modern data visualisation and reporting solutions Your key responsibilities Lead the design and implementation of scalable data architecture solutions using Databricks on Azure. Architect and optimize data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance. Demonstrate prior experience in standing up and operationalizing Databricks platforms, including workspace setup, cluster configuration, and CI/CD integration. Lead and execute large-scale lift-and-shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity. Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake, Apache Spark, and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance, lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning, cost optimization, and security hardening of Databricks on Azure. To qualify for the role, you must have A track record of delivering large Databricks data transformations & appropriate Databricks industry certifications A deep understanding of Financial Services to develop the right AI, Data and Analytics solutions to meet their needs Experience of building high performing teams and exceptional leadership and interpersonal skills Deep understanding of the emerging technology trends including adoption of cloud-based technologies and advance data technologies with a clear perspective on where the market is going. Ability to successfully deliver across multiple engagements, exceed client expectations, manage commercial aspects and manage quality and risk Ability to engage with senior stakeholders and manage large cross functional projects Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into workable solutions which can then be delivered Exceptional storytelling, communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients. Previous consulting experience will be greatly valued A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path. What we look for We are looking for highly motivated individuals who are passionate about AI, Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our AI & Data team is looking forward to hearing from you. What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance Please note: Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters! EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Select how often (in days) to receive an alert: EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

Principal Product Manager - Insurance and Asset Owners EMEA page is loaded Principal Product Manager - Insurance and Asset Owners EMEAlocations: London Officetime type: Full timeposted on: Posted Yesterdayjob requisition id: R11184We are seeking an Insurance and Asset Owner Product Leader for EMEA, who can establish a strategy and execute to drive growth in our core middle and back-office market ranging from Insurance to Pensions and Corporates. As a Product Lead, you will also play a critical role in scaling our products to address the needs of key industries and asset classes.This is an exceptional opportunity for a seasoned professional with experience building financial technology software who wishes to be a business and product leader alike. You will partner very closely with the Sales, Client Services and Operations leaders in EMEA to drive revenue growth and unit economics, support client success with increasing NPS/CSAT. You will also implement the high-level road map of new and existing product lines by collaborating with functional product leaders while also driving the EMEA specific product strategy.You will report to the Global Head of Product for Insurance and Asset Owners and will be responsible for identifying market opportunities, developing product strategy to address those opportunities, executing on product roadmap and supporting go-to-market (GTM) motions. Responsibilities: Conduct market analysis across front, middle and back-office (FBO) applications. Collaborate with sales and CS leaders to build a consensus on the market opportunity, competitive landscape, alternatives, and barriers to CW solutions adoption in the market. Assess Clearwater products fit by market and client segments and build a clear and differentiated product strategy with investment needs and growth projections. Document replacement grade functionality requirements. Build trust and confidence with current and prospective Customers. Be the voice of the customer and ensure there is alignment of asks from the customer with items on the roadmap. Develop a comprehensive EMEA product strategy and roadmap that is validated with clients and aligned with current CW functional product capabilities. Collaborate closely with engineering, marketing, sales and client delivery leaders to bring products to life that are intuitive, scalable Oversee execution of the roadmap by PMs and deliver concrete "wins" with each release. Drive thought leadership, champion product direction internally with senior leadership team, and externally to customers, analysts, and media. When needed, dive into details and write compelling product requirements documentation that meet customer demands in the market. Cultivate relationships with key strategic clients across multiple geographies, support executive forums, and help develop future revenue opportunities. Participate in Quarterly Business Review with senior leadership to monitor revenue, key business metrics and trends, manage budgets, and ensure product investments align with growth targets and customer needs. Partner laterally across the organization, establish and maintain outstanding communication, and build/maintain collaborative relationships at all levels. Stay abreast of competitive and market dynamics and apply insights to the CW product strategy and execution. Build and mentor a diverse, high-performing team if product managers focused on outcomes and excellence. What we look for: At least 15 years of experience in Investment management technologies and operations either at Insurance/Asset owner firm or technology provider, with a minimum of 5 years in leading a product. Experience as a practitioner or product creator for the business processes in multiple of these areas: investment accounting, regulatory reporting, compliance, performance attribution and risk analytics, trade operations, client reporting/EDM, EMEA specific asset pricing and valuations. Defendable opinion into the current EMEA investment management market such as growth areas, buyer, competition, budgets and client business drivers. You may be asked to present. Demonstrated ability to build new SaaS products and build a product business with revenues and growth. Deep familiarity with modern data, analytics, and trading technologies from data integration, and investment management systems landscape to front end reporting. Deep domain expertise in investment management, particularly in investment accounting, regulatory reporting, valuations, risk/performance and related areas Proven ability to manage complex programs, including execution, implementation, and influencing skills. Excellent communication and presentation skills, commitment to delivering superior internal and external customer experience. Bachelor's degree in finance, accounting, business, computer science, or other relevant technical discipline. Willingness to travel 25%-50% of the time across EMEA. Preferred Qualifications: CA/CPA or related certifications or an MBA from a top university Location: London Conversational knowledge of French or German What we offer: Business casual atmosphere Team focused culture that promotes innovation and ownership Access cutting edge investment reporting technology and expertise RSUs as well as employee stock purchase plan (discounted shares) Private medical and dental insurance Various social and volunteering opportunities, including volunteer time off to give back to the community Defined and undefined career pathways allowing you to grow your own way Work from anywhere 3 weeks out of the year An opportunity to revolutionize the investment industryStudies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with the job description, we encourage you to still apply! You may be just what we're looking for.

Principal Data Scientist Full time / Part time Salary: £57,815pa - £65,021pa, with potential for further progression to £73,211pa with our pay progression scheme. Location: Hybrid Contracted to our Wilmslow, London, Edinburgh, Cardiff or Belfast office, however, we offer flexible home and office-based working opportunities. There will be times when you will be expected to attend the office to collaborate with colleagues or travel due to business need. Please note, from Autumn 2026 our head office will relocate from Wilmslow to Manchester city centre. Why work for the ICO? Pay progression scheme. Hybrid and flexible working options. 25 days paid holiday per year, plus privilege and public holidays. Flexi leave (up to 26 additional days leave per year). Pension (employer contribution around 28.9%). Online discount scheme to save money at major supermarkets, retailers, gyms, restaurants, insurance providers and many more. Health Cash Plan. Fantastic development opportunities to learn and progress. Further details can be found on the benefits section of our website . Job summary We re looking for a skilled professional to join our Analytics and AI team. You ll work closely with stakeholders to identify and prioritise AI opportunities, ensuring outputs are explainable, responsible, and embedded effectively within the organisation. Collaboration is key you ll partner with data analysts, engineers, and product owners to create solutions that meet business needs, while contributing to frameworks that uphold ethics, transparency, and performance. Additionally, you ll support the ICO Data Academy to boost data literacy and stay ahead of emerging trends in AI and analytics to drive innovation and value. The Information Commissioner s Office (ICO) is the independent regulator of information rights. In a data-driven world, we provide advice, guidance, and support to organisations enabling compliance with their obligations, as well as protecting individuals and their personal data. As an employer, we are passionate about making a positive difference to the lives and careers of our people, and we empower you to be curious, impactful, collaborative and respectful. Job description The role will form part of our analytics and AI function, providing technical expertise in the disciplines of analytics and AI. The role will help unlock insight from our wealth of internal data and advise and deliver on the best methodologies for the problem at hand. The role will primarily involve engaging with internal stakeholders to deliver analytics and AI solutions that provide value and benefit to the organisation while ensuring outputs are high quality, accurate, and consider data privacy and data ethics by design. Outputs might include reports and dashboards, data and statistical analyses, or products that utilise artificial intelligence technologies. The role will also work with the Head of AI and Analytics to deliver wider objectives belonging to our Enterprise Data Strategy (EDS). This includes contributing to our new data literacy initiative, the ICO Data Academy, to empower ICO s people to better use and analyse data. Key responsibilities: To build, develop, and test AI and analytics products that align with ICO s business strategies and provide value in a timely, accurate and ethical manner, ensuring outputs are explainable, responsible, and embedded effectively within the organisation. To identify, define and prioritise new AI opportunities that might offer value to the organisation. You will be able to work closely with business stakeholders to understand their priorities and challenges, bringing this together with your technical understanding of AI / analytics approaches, to determine practical solutions Feed into the mechanisms / frameworks that provide assurances that AI solutions are built responsibly, and considerations such as explainability, ethics, and model performance are thoroughly considered and monitored Work closely with product delivery mechanisms to retain critical stakeholder engagement throughout the development of solutions, and successful embedment at the time of implementation. Work closely with the Senior Data Analysts, Senior Data Engineers and Data Product Owners to ensure AI and analytics solutions are designed collaboratively, meet business needs, and are embedded effectively into operational workflows Play an active role in our new data literacy initiative the ICO Data Academy - helping to support the empowerment of data skills and awareness for our colleagues, and supporting the broader data analytics community that exists within the ICO Remain continuously informed of new developments in the fields of data analytics and AI, so to be able to assess whether emerging techniques and innovation might be applied within the organisation for to drive new impact and value Person specification Essential criteria assessed at application stage: Substantial experience relevant to the role requirements, as described in the role responsibilities and person specification, and accumulated through any combination of academic or vocational qualifications or experience. Delivering AI solutions as part of a data science team, utilising open source coding languages, such as Python, and building Machine Learning models/Large Language Models Working in cloud environments, such as Microsoft Azure, and utilising cloud services. Delivering AI solutions within an ethics and governance framework Supporting data science capability building across a team and wider organisation An understanding of how analytics and AI can be used to drive value within an organisation. Technical understanding across a wide range of data analysis, data science and AI techniques including, but not limited to, exploratory data analysis, statistics, machine learning, operational research, data visualisation, NLP, and generative AI. Proficient in Python coding language, experience of working within cloud platforms, such as Microsoft Azure, and knowledge of git version control. Approaches for measuring and monitoring quality metrics when introducing analytics and AI solutions and products Frameworks/approaches to support responsible AI innovation, including identification and prioritisation of new opportunities Ability to proactively engage with stakeholders to understand business challenges, and be able to provide solutions Actively keeping informed of industry developments to ensure the relevance of new and emerging approaches and technologies. Knowledge of the data protection and privacy landscape, regulations, and obligations for data practitioners. Ability to deal with complexity and ambiguity, creative problem solving and developing innovative solutions. Makes complex and technical information and language simple and accessible for non-technical audiences. Essential criteria assessed during interview: Equality, diversity, and inclusion The ICO is committed to promoting and enhancing equality, diversity, and inclusion. We are focused on developing a workforce that is representative of the communities we serve and together we are building an inclusive workplace where all of our colleagues have the opportunity to make a real difference. We are championing this through our Equality Diversity and Inclusion Board together with a number of staff networks. Read more about our commitment on our website. Candidates with a disability who meet the minimum criteria for this vacancy will be invited to interview as part of the ICO s commitment to the Disability Confident Scheme. As part of the ICO s commitment to our EDI objectives and creating a workplace that represents the communities and societies we serve, we guarantee an interview to candidates who declare they identify as belonging from an ethnic minority background and who meet the minimum criteria for this vacancy If you are disabled or have an impairment and require an alternative application method, please email the HR team at Closing Date Please submit your CV and cover letter by 23:59, Sunday 11 th January 2026 . Your cover letter should be no more than 1,000 words and should clearly demonstrate how you meet the essential criteria for the role. In the event of a high volume of applications, we may not be able to invite all candidates who meet the minimum criteria to interview. However, we encourage you stay in touch and apply for future roles that match your interests. All candidates who meet the minimum criteria and apply in-line with our guaranteed interview scheme for disabled and ethnic minority applicants will be interviewed.

About Unbiased Unbiased is an AI enabled financial advice platform, empowering people to make confident financial decisions and delivering unrivalled growth for advice firms. With the greatest wealth transfer in history now underway, Unbiased connects people to trusted advice across pensions and retirement, inheritance planning, mortgages, accountancy, and more. The Unbiased platform applies advanced models trained on a rich dataset of user activity to intelligently match individuals with qualified advisers, providing the easiest and most reliable way to access financial expertise. Since 2010, Unbiased has generated over $100 billion in AUM opportunities for financial advisers, with 65% of prospects new to advice. Reaching more than 10 million consumers annually, it is the leading source of client demand in the industry. We have big ambitions to improve how people tackle the biggest decisions, and working at Unbiased means working with smart, motivated people who believe in this. We have a fun, but in an ambitious environment where we are simply trusted to get stuff done. We actively encourage women to apply and bring their diverse perspectives to our team, as we believe in fostering an inclusive and empowering workplace where everyone can thrive. We are a female founded company, with a culture focused on diversity and inclusion amongst our entire team. The Role We are looking for a Head of Data & Analytics to shape how Unbiased will use data to grow our business over the next five years. This is a pivotal leadership role, responsible for shaping our data strategy, developing an existing high performing team, and ensuring data is a core asset driving both internal decision making and customer value. AI is a core part of our strategy, so you will be both experienced with and excited by AI and the commercial opportunities it brings. You'll be a strategic player coach who is experienced in having strategic discussions and also comfortable with being hands on. You'll work closely with the senior leadership team along with being a key partner for our marketing, commercial, finance and product teams. In a nutshell, you'll be responsible for Data Strategy & Leadership Define and own the company wide data & analytics strategy Partner with relevant teams to ensure we leverage ML & AI to create opportunities with our data for commercial outcomes Develop and scale a high performing data function (engineering, analytics, science) Act as a thought leader on data maturity and governance, championing a data driven culture across the company Product & Customer Value Partner with product management to productise data for commercial outcomes and bring it to market Drive innovation in how Unbiased accesses and benefits from their data (e.g., benchmarking, predictive insights, anomaly detection) Data Infrastructure & Governance Responsible for the overall data architecture and pipelines to support current and future needs. Ensure best practices in data governance, quality, security, and compliance e.g. GDPR, ISO standards Own relationships with relevant technology vendors and manage data platforms and tools Analytics & Insights Deliver actionable insights that guide strategic and operational decisions Partner with commercial, product, and customer success teams to improve performance through data Lead the development of dashboards, reporting, and self service analytics capabilities Team Development Mentor and inspire data professionals, creating a culture of excellence and curiosity Balance strategic vision with hands on leadership, especially in the early stages of building the function To succeed, you'll need We're looking for a senior data leader who combines technical expertise and commercial acumen with marketplace experience. 10+ years' experience in data, with at least 3 5 years in management and leadership roles Strong applied econometrics skills, including experience using statistical models to forecast performance and analyse customer and market behaviour Proven experience in a two sided marketplace, with an understanding of consumer and customer behaviour, supply/demand modelling, marketplace economics and marketplace metrics (incl capacity modelling, demand forecasting, dynamic balancing) Data science, AI/ML experience Statistical and analytical skills including experimental design, predictive modelling, pricing & elasticity modelling, segmentation and funnel analytics for multi stage interactions. Proven experience designing and scaling data architecture, analytics, and governance in a SaaS or tech driven environment Hands on skills in modern data stacks e.g., cloud warehouses, ETL/ELT pipelines, BI tools, specifically Looker Strong stakeholder management - able to translate data insights into business impact and communicate with execs, engineers, and non technical teams Track record of building and developing high performing data teams Desirable Experience in SaaS or fintech (in addition to marketplace) Familiarity with outcome based analytics in B2B products Demonstrable experience of data monetisation and opportunity discovery Knowledge of A/B testing and Google Analytics Our Shared Values Be relentless about progress - working at pace to solve problems, navigate around blockers and prioritising company OKR's. Own it and get it done - taking ownership of your projects, involving the right people at the right time and making meaningful contributions. Share and seek input - proactive in seeking and acting upon feedback. Being open, sharing knowledge and proactively communicating. Enjoy the journey - ensuring cross team collaboration and proactively celebrating achievements of your peers. How we'll take care of you: Investment in your Development: Alongside in house training, you'll be allocated a generous yearly allowance to invest in your career development. Investment in your Wellbeing: Your wellbeing is a top priority for us, and you'll be able to benefit an annual wellbeing allowance. On top of this, we have arranged for Private Medical Insurance for extra peace of mind for you and your family. Social Events: We're a social bunch so you can expect plenty of activities based in and around our vibrant office in the heart of Farringdon. The Usual Benefits: Holiday: you'll be allocated plenty of holiday to ensure that you have enough time to recharge, work life balance is super important to us here (you'll also have your birthday off as paid annual leave). Flexible working: we'll work with you to find the balance of office based work and remote working. Pension: you'll be able to save via salary sacrifice scheme, with Unbiased contributing above the minimum required amount, subject to banded earnings. Private Medical Insurance: you can add your dependents and spouse. Payroll Giving: donate to your charities of choice in the most tax efficient way, via salary sacrifice. Life insurance Cycle to work scheme Equal Opportunity The best ideas are often the least expected and require new ways of thinking; that's why our teams at Unbiased are made up of a broad range of talented people. We are proud to be an equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status. Data Privacy Personal information about unsuccessful candidates will be held for 12 months after the recruitment exercise has been completed, it will then be destroyed or deleted. We retain de personalised statistical information about applicants to help inform our recruitment activities, but no individuals are identifiable from that data. Once a person has taken up employment with Unbiased, we will compile a file relating to their employment. The information contained in this will be kept secure and will only be used for purposes directly relevant to that person's employment. Once their employment with Unbiased has ended, we will retain the file in accordance with the requirements of our retention schedule and then delete it. Agencies As much as we appreciate the help, we're using our own direct sourcing methods or we're working with one of our carefully selected Agency Partners on this vacancy. To find out a little more about how we partner with agencies please email . FAO our Talent Manager, speculative phone calls will not be taken by our team neither will CV submissions without Unbiased or the candidate's expressed consent.

At Longshot Systems we build advanced platforms for sports betting analytics and trading. We re looking for a Senior Software Engineer to join the team that owns and develops our trading platform. Longshot is a small, focused company and so the role suits someone who can architect and implement whatever is needed to meet our next product, performance or stability goal. The team owns the technical standards and coding guidelines, CI/CD, observability and security. This role suits someone who wants to ship features and contribute to the wider technical excellence in the team and platform. The trading platform at Longshot handles integrations with many bookmakers and exchanges worldwide. It normalises and combines the global odds data for many sports and makes it available internally for strategies to trade on. We handle thousands of odds updates and trades per second and have very strict bounds on latency, correctness and overall quality of the feed and trading. You would be at the heart of this team: integrating more trading venues, optimising key parts of the platform, making trading safer and faster, etc. We also maintain a significant historical data repository and support wider trading and research efforts around the company. Our key platform systems are all in Golang, with message buses and databases at the core of the architecture. You don t need to be fluent in Golang, but it would help. It s easy to learn and we have a team full of experts able to teach you. We are a hybrid working company, working Thursdays in our London (Farringdon) office and flexible the rest of the week. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals. Interview Process Intro call (30 mins) - your background + interests 1st Technical interview (30 mins) - live code review & pair programming 2nd Technical interview (60 mins) - deep dive technical questions Full assessment day (10:30 5pm) - a one day systems programming exercise designed to be similar to the real work we do in the team. Meet some of the team, see the office, have a nice lunch (on us). Requirements Masters or PhD in a quantitative or technical subject (e.g. Maths, EE, Physics, Comp Sci) from a top university Deep experience building mission critical distributed systems (finance, gaming, telco, ad-tech, etc.) where throughput, correctness and availability are a hard requirement. Startup experience: Proven track record shipping products in small, fast moving teams. Proven track record delivering and maintaining production systems in at least one systems language (Go, C++, Rust, Java, C#, etc.), with clear, idiomatic designs. Architecture & design: Able to reason about trade offs and produce clean, evolvable service boundaries. Cloud & DevOps: comfortable working in AWS, linux and wrangling build pipelines. We have dedicated DevOps people, but you do need to be competent in the core skills here. Fluent written and spoken English. Communicating with the team is as important as the technical work. You need to be able to effectively collaborate on everything from low level details to long term strategic planning. Nice to have Trading, market making or exchange experience. Benefits Participation in the uncapped company bonus scheme 10% matched pension contributions Private healthcare insurance Long term illness insurance Gym membership

Edinburgh / Hybrid Engineering & Technology At FanDuel Group, we give fans a new and innovative way to interact with their favourite games, sports and teams. We're dedicated to building a winning team and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does "winning" look like at FanDuel? It's recognition for your hard earned results, a culture that brings out your best work-and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we'll never compromise when it comes to looking out for our teammates. From creative professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of "We Are One Team" runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful. THE POSITION Our roster has an opening with your name on it FanDuel is looking for a highly technical and detail oriented Systems Admin, Marketing Technology to own the end to end execution of data and technical integrations that power our marketing ecosystem. In this role, you will ensure the successful implementation of data pipelines, event instrumentation, customer attributes, and system to system connections that fuel marketing activation, personalisation, and automation across all channels. You will sit within the Marketing Technology & Operations organisation and work cross functionally with Data, Product, Marketing Strategy, Engineering, and Marketing Operations to translate business requirements into accurate, scalable, and future proof technical solutions and executions. This role is ideal for someone passionate about data architecture, marketing technology, and operational excellence-someone who enjoys digging into APIs, ETL workflows, marketing platforms, and orchestration logic to enable world class marketing experiences. THE GAME PLAN Everyone on our team has a part to play Technical Implementation & Data Architecture Own implementation of new marketing data pipelines, customer events, and attribute generation across FanDuel's martech stack, ensuring accuracy, scalability, and alignment with data governance standards. Translate marketing requirements into robust technical specifications-including event schemas, workflow designs, data transformations, and integration logic-with an eye toward opportunities for AI driven automation and optimization. Partner with data, product and engineering teams to introduce net new data points, refine data structures, and optimize data consumption for downstream activation. Ensure governance of Martech tooling (e.g., CDPs, Data Activation tools, and Customer Experience Platforms) to maintain operational excellence, AI readiness, and seamless connectivity across Marketing and Media technology partners. Systems Integration & Martech Connectivity Implement and maintain integrations between martech systems (ETL, CDPs, promotional engines, content tools, analytics platforms) using REST APIs, webhooks, and structured data formats such as JSON, with increasing leverage of AI driven validation and monitoring where appropriate. Lead setup and configuration of new tools, features, and marketing capabilities, ensuring they are technically sound, AI capable where relevant, and ready for operational adoption. Support data driven personalisation and cross channel orchestration by ensuring underlying data flows, model inputs, and attribute lifecycles are correct and consistent. Marketing Enablement & Operational Excellence Serve as a key technical liaison across Customer Marketing, Data Science, Technology, and Product to ensure new capabilities are scoped, implemented, validated, and utilised effectively. Conduct end to end QA of data integrations, campaign triggers, and attribute logic to prevent errors and ensure high quality execution. Create and maintain technical documentation and implementation guides in Confluence, ensuring transparency, knowledge transfer, and clarity around AI enabled features and automation logic. Help champion best practices and ways of working, including prioritisation frameworks, workflow governance, and consistent implementation standards across marketing technologies. Identify gaps in the martech ecosystem and recommend new integrations or techniques-including AI enhanced approaches-to improve marketing precision, personalisation, and automation. Evaluate the technical feasibility of new marketing strategies and propose scalable solutions that responsibly incorporate machine learning, generative AI, or adaptive decisioning. Contribute to transformation initiatives that embed AI, model driven marketing, and advanced segmentation capabilities throughout the stack, strengthening FanDuel's ability to deliver timely, personalised experiences. THE STATS What we're looking for in our next teammate Technical Expertise Experience in marketing technology implementation, data engineering support, or marketing operations with a strong technical focus. (Blended requirement based on manager and senior analyst levels.) Advanced proficiency in SQL and experience working with structured and semi structured data (JSON, APIs, event payloads). Hands on experience with ETL/data integration tools (e.g., Hightouch, KNIME, AWS, Microsoft, SAP) and API based integrations. Familiarity with CDPs, marketing automation tools, and orchestration platforms. Experience implementing or managing server based automations or cloud environments. Implementation & Operational Skills Demonstrated success translating business needs into detailed technical requirements and scalable implementations. Ability to lead cross functional technical projects, influence stakeholders, and manage competing priorities. Strong problem solving skills with a meticulous eye for data accuracy, quality assurance, and debugging workflows. Experience with project management tools such as Jira, Asana, or A proactive, curious, solution oriented mindset with a passion for technical problem solving. Excellent communication skills, with the ability to explain technical concepts to non technical partners. Strong desire to build, improve, and innovate within a fast moving, high growth technology environment. Collaborative spirit-someone who values being part of One Team and thrives in cross functional partnership. ABOUT FANDUEL GROUP FanDuel Group is an innovative sports tech entertainment company that is changing the way consumers engage with their favourite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance deposit wagering, and TV/media. FanDuel Group has a presence across all 50 states with approximately 17 million customers and 28 retail locations. The company is based in New York with offices in California, New Jersey, Florida, Oregon, Georgia, Portugal, Romania and Scotland. Its network FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct to consumer OTT platforms. FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognised brands and a constituent of the FTSE 100 index of the London Stock Exchange. PLAYER CONTRACT We treat our team right From our many opportunities for professional development to our generous insurance and paid leave policies, we're committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect: An exciting and fun environment committed to driving real growth Opportunities to build really cool products that fans love Mentorship and professional development resources to help you refine your game Flexible vacation allowance to let you refuel Hall of Fame benefit programs and platforms FanDuel Group is an equal opportunities employer and we believe, as one of our principal states, "We Are One Team!". We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes our company stronger and more competitive as One Team! Apply for this position Technology We're the backbone and the turbo engine behind FanDuel's rise-and we don't just build software, we build the future. Step into our world and you'll find a frontier style playground where top tier talent tackles complex challenges head on. From crafting innovative tech to scaling a platform that's fast, secure, and rock solid, we're doing it all in one of the most regulated-and exciting-markets out there . click apply for full job details

Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for providing innovative solutions covering the full lifecycle of investments, from primary fund commitments to co investments and secondary purchases, across private equity, real assets and private credit. We have partnered with more than 650 clients, including institutional investors of all sizes as well as a growing number of private wealth advisers and investors, with approximately $65bn in discretionary assets under management (as of December 31, 2023). Leveraging our specialized experience and global team of professionals across Europe, the Americas and Asia, we invest with purpose and lead with expertise to build secure financial futures. There is an exciting opportunity for a Programme Manager (PGM) to join Pantheon's Change Office. The Change Office partners across the organization to define the strategic transformation vision and roadmap, drive implementation of initiatives (including engagement & partnership with key stakeholders) and consistently delivers high quality execution of change. This Programme Manager will lead complex change initiatives (and/or a small portfolio of several change initiatives), with focus on the Investments organization across people, processes and platforms. These initiatives will be led end to end (from ideate to BAU transition) including partnering with key stakeholders to define the strategy and scope, own the detailed planning and leading the design, implementation and transition to BAU. To enable success, collaborating globally across functions (including Core Portfolio Management, Data & Analytics, Investment Teams, Investor Relations, Legal, Finance & Technology), effectively communicating and engaging with third parties will be a key component of this role. This Programme Manager will be directly partnering within the Change Office to manage interdependencies, leverage lessons learned, ensure thoughtful coordination and maintain a consistent and high standard of execution across the portfolio of changing initiatives. They will be responsible for managing project manager(s) and business analyst(s) and report to the Head of Change office. Key Responsibilities Develop & maintain robust programme & project plans, associated artefacts & KPIs to effectively deliver to plan Define and lead respective programme/project governance to facilitate effective decisioning, escalation and engagement of key stakeholders Diligently manage programme budgets and resourcing Work in partnership across the organization to develop business cases and lead prioritization of initiatives Effectively manage the deployment of new systems/applications/tools/products/processes through comprehensive communications & training with all impacted stakeholders Manage project managers and business analysts, provide thought leadership within the Change office & to partnering functions Own relationship with external vendors(s) including leading RPF/vendor selection processes, and negotiating commercials Ensure compliance with relevant laws, regulations and Pantheon policy (including reporting compliance risks and maintaining appropriate standards of conduct) Functional Expertise Extensive experience successfully leading end to end, complex, multi year transformation programmes within financial services, with a specific focus on Private Equity investment processes and toolsets. Proven track record delivering CRM implementations, including end to end deal process re engineering, for example through platforms such as DealCloud or similar. Ability to produce robust, accurate reporting to ensure transparency across the programme's critical path, including identification and management of key risks, issues, and dependencies. Strong stakeholder management skills, with a demonstrated ability to build relationships and trust across diverse stakeholder groups to influence decisions and secure buy in. Excellent communication skills-both written and verbal-able to translate complex technical or business concepts into clear, concise presentations that "tell the story" effectively for audiences at all levels and drive educated decisioning Collaborative and approachable, comfortable engaging with team members and senior executives alike Thrives in dynamic, fast paced environments, with the agility to adapt to evolving priorities and navigate ambiguity. Pantheon is an Equal Opportunities employer This job description is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. You may be required to perform other job related duties as reasonably requested by your manager.