Pantheon
Vice President, Private Credit Investment Analytics Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide. The Vice President of Investment Analytics (Private Credit) will lead the development of Pantheon's private credit data and intelligence capability, transforming investment data into structured, decision ready insight for Portfolio Management teams. This role sits at the intersection of Investment, Data & Operations, and will focus on strengthening the firm's ability to generate consistent, comparable, and actionable intelligence from credit portfolio data - across funds, GPs, structures, and geographies. The VP will architect and operate scalable analytical frameworks that standardize how private credit data is defined, sourced, governed, and translated into insight. The role will partner closely with Investment Data Operations and Data Engineering teams to embed credit analytics into Pantheon's evolving data platforms, reducing reliance on bespoke spreadsheets and increasing transparency, comparability, and confidence. This is a high impact opportunity to shape Pantheon's private credit intelligence capability at a time of significant growth and platform transformation. Key Responsibilities Build private credit investment analytics across Pantheon to help evaluate and monitor investments. Act as a senior analytics partner to Investment and Portfolio Management teams, translating complex investment needs into structured data requirements and analytical frameworks. Own the definition, sourcing, and validation of investment relevant datasets, ensuring analytical outputs are complete, comparable, and decision ready. Deliver differentiated, investment grade insights by combining internal investment operations data with GP reported and external market data, moving beyond descriptive reporting to comparative, diagnostic, and thematic analysis. Serve as the primary data and analytics interface with GPs and external data/technology providers, shaping data standards, templates, and requirements to improve transparency, coverage, and usability. Operate Investment Analytics as a business facing function with a product mindset, creating a roadmap that prioritises initiatives based on investment impact, adoption, and measurable decision enablement. Lead, develop, and mentor a high performing Investment Analytics team, fostering disciplined delivery and strong stakeholder relationships. Knowledge & Experience Required Significant experience in private markets, with strong exposure to private credit, portfolio data, analytics or investment operations. Deep understanding of private credit structures, performance drivers, and portfolio monitoring. Strong analytical mindset with experience supporting investment or portfolio decision making. Strong understanding of data governance, comparability challenges, and portfolio transparency. Demonstrated ability to operate at both strategic and hands on levels. Proven ability to partner effectively with investment professionals and influence senior stakeholders. Strong written and verbal communication skills; able to articulate complex information clearly and concisely. Track record of delivering high quality outputs under tight timelines. Experience leading and developing teams in a collaborative environment. Experience with working with 3rd party providers, data vendors & offshore teams. Professional qualification (CFA, ACA, ACCA, IMC) or equivalent experience preferred but not essential. Familiarity with modern data environments and analytics tools (e.g., Power BI, SQL, Python, Databricks, Snowflake). Experience systemizing investment analytics within centralized data platforms. Exposure to automation or advanced analytical techniques to enhance portfolio monitoring. Demonstrated comfort integrating AI tools into daily analytical workflows (e.g., structured research, synthesis, data interrogation). Ability to evaluate AI outputs critically, refine prompts, and build repeatable AI assisted workflows. 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. Pantheon is an Equal Opportunities employer, we are committed to building a diverse and inclusive workforce so if you're excited about this role but your past experience doesn't perfectly align we'd still encourage you to apply.
Vice President, Private Credit Investment Analytics Pantheon has been at the forefront of private markets investing for more than 40 years, earning a reputation for an innovative approach to investing in secondaries, co investments, and primary fund investments, as well as capital formation across commingled funds, evergreen vehicles and customized solutions. Pantheon currently manages approximately $82.3 billion in AUM across all its strategies, serving more than 750 institutional and 638 private wealth clients worldwide. The Vice President of Investment Analytics (Private Credit) will lead the development of Pantheon's private credit data and intelligence capability, transforming investment data into structured, decision ready insight for Portfolio Management teams. This role sits at the intersection of Investment, Data & Operations, and will focus on strengthening the firm's ability to generate consistent, comparable, and actionable intelligence from credit portfolio data - across funds, GPs, structures, and geographies. The VP will architect and operate scalable analytical frameworks that standardize how private credit data is defined, sourced, governed, and translated into insight. The role will partner closely with Investment Data Operations and Data Engineering teams to embed credit analytics into Pantheon's evolving data platforms, reducing reliance on bespoke spreadsheets and increasing transparency, comparability, and confidence. This is a high impact opportunity to shape Pantheon's private credit intelligence capability at a time of significant growth and platform transformation. Key Responsibilities Build private credit investment analytics across Pantheon to help evaluate and monitor investments. Act as a senior analytics partner to Investment and Portfolio Management teams, translating complex investment needs into structured data requirements and analytical frameworks. Own the definition, sourcing, and validation of investment relevant datasets, ensuring analytical outputs are complete, comparable, and decision ready. Deliver differentiated, investment grade insights by combining internal investment operations data with GP reported and external market data, moving beyond descriptive reporting to comparative, diagnostic, and thematic analysis. Serve as the primary data and analytics interface with GPs and external data/technology providers, shaping data standards, templates, and requirements to improve transparency, coverage, and usability. Operate Investment Analytics as a business facing function with a product mindset, creating a roadmap that prioritises initiatives based on investment impact, adoption, and measurable decision enablement. Lead, develop, and mentor a high performing Investment Analytics team, fostering disciplined delivery and strong stakeholder relationships. Knowledge & Experience Required Significant experience in private markets, with strong exposure to private credit, portfolio data, analytics or investment operations. Deep understanding of private credit structures, performance drivers, and portfolio monitoring. Strong analytical mindset with experience supporting investment or portfolio decision making. Strong understanding of data governance, comparability challenges, and portfolio transparency. Demonstrated ability to operate at both strategic and hands on levels. Proven ability to partner effectively with investment professionals and influence senior stakeholders. Strong written and verbal communication skills; able to articulate complex information clearly and concisely. Track record of delivering high quality outputs under tight timelines. Experience leading and developing teams in a collaborative environment. Experience with working with 3rd party providers, data vendors & offshore teams. Professional qualification (CFA, ACA, ACCA, IMC) or equivalent experience preferred but not essential. Familiarity with modern data environments and analytics tools (e.g., Power BI, SQL, Python, Databricks, Snowflake). Experience systemizing investment analytics within centralized data platforms. Exposure to automation or advanced analytical techniques to enhance portfolio monitoring. Demonstrated comfort integrating AI tools into daily analytical workflows (e.g., structured research, synthesis, data interrogation). Ability to evaluate AI outputs critically, refine prompts, and build repeatable AI assisted workflows. 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. Pantheon is an Equal Opportunities employer, we are committed to building a diverse and inclusive workforce so if you're excited about this role but your past experience doesn't perfectly align we'd still encourage you to apply.
CloserStill Media
CloserStill Media London Hybrid WHO WE ARE: At CloserStill, we strive to deliver the best. We're on a mission to be the most dynamic B2B events and communities business in every market we serve, bringing people together to learn, connect and grow. Operating across five regions, we power over 200 market leading events, publications and brands across Business Technologies, Healthcare, Learning, HR & Education, and Future Transport & Infrastructure. But what truly sets us apart is our people. WHO WE ARE LOOKING FOR: A technical leader who's built modern data platforms and integration systems at scale. Someone who's equally comfortable designing cloud architecture and rolling up their sleeves to solve hard problems. You've led engineering teams, championed DevOps practices, and have deep Azure experience. Bonus points if you've enabled third party developer ecosystems or worked in media/events/SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading and scaling engineering teams Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash THE ROLE: You'll own the technical vision and delivery of our core platforms: Build world class platforms Architect cloud native data and AI systems that support analytics, ML workloads, and real time operations Create API first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead exceptional teams Build, mentor, and scale high performing engineering teams Set standards for code quality, security, and performance Drive DevOps and CI/CD culture for fast, reliable delivery Drive business impact Translate business needs into technical solutions Partner with product, data, and operations leaders Own the engineering roadmap and align resources to the outcome Platform & Architecture Leadership Define and own the technical vision and roadmap for CloserStill's core data, AI, and integration platforms Architect scalable, secure, and resilient cloud native solutions using Microsoft Azure Lead development of a unified data platform supporting business intelligence, analytics, AI/ML workloads, and real time operational use cases Design and evolve an API first integration platform enabling internal teams and external partners to build and integrate services efficiently Data, AI & MLOps Lead implementation and optimisation of data pipelines for data engineering, analytics, and machine learning Implement best practices for MLOps, including model deployment, monitoring, versioning, and lifecycle management Partner closely with data science and analytics teams to ensure platforms enable experimentation and production grade AI Engineering Leadership & Delivery Build, lead, and mentor high performing engineering teams across data platform and integration domains Set engineering standards for code quality, security, reliability, and performance Champion DevOps and CI/CD practices to ensure fast, safe, and repeatable delivery Balance strategic architecture work with hands on technical leadership where required Define and own the engineering roadmap and align to resource needs Work with: Azure, Databricks, Bash, JavaScript, Node, Python, PySpark, SQL Integration & Ecosystem Enablement Own the strategy and delivery of integration services, including public and private APIs, event driven and asynchronous integrations, and authentication/authorisation models Enable third party vendors, partners, and developers to integrate seamlessly into CloserStill's ecosystem Ensure strong governance, observability, and documentation across all integration services Stakeholder Collaboration Work closely with senior stakeholders across technology, product, data, and operations to align engineering outcomes with business objectives Translate business needs into scalable technical solutions Contribute to broader technology strategy and investment decisions Align the roadmap to business outcome delivery ABOUT YOU: Essential Experience: Proven experience in a senior engineering leadership role (Head of Engineering, Engineering Manager, or similar) Strong background in building data platforms for analytics and operational use cases Deep experience with Microsoft Azure cloud services Hands on experience designing and building APIs and integration platforms Experience working with Databricks for data engineering and analytics Strong understanding of MLOps practices and productionising machine learning models Experience leading and scaling engineering teams in a modern, agile environment Desirable Experience: Experience enabling third party developer ecosystems or platform as a product models Familiarity with event driven architectures and streaming technologies Background in media, events, SaaS, or data driven businesses Strong understanding of security, identity, and access management in cloud platforms Personal Attributes: Strategic thinker with a strong bias toward execution Comfortable operating at both architectural and hands on levels Excellent communicator, able to engage technical and non technical stakeholders and provide clear, concise project updates Passionate about data, AI, and building platforms that unlock business value Natural leader who develops teams and fosters a culture of engineering excellence Unfortunately, we are unable to provide sponsorship for this position. CloserStill Media reserves the right to request a DBS or credit check should the role require it. DIVERSITY AND INCLUSION: CloserStill Media embrace diversity in all its forms and are committed to continuing to develop a diverse and inclusive environment that encourages collaboration and innovation. We are an equal opportunity employer. All applicants will be considered for employment based on merit without attention to age, ethnicity, religion or beliefs, sexual orientation, gender identity, family or parental status or disability status. We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments at any stage, don't hesitate to get in touch with our HR team at .
CloserStill Media London Hybrid WHO WE ARE: At CloserStill, we strive to deliver the best. We're on a mission to be the most dynamic B2B events and communities business in every market we serve, bringing people together to learn, connect and grow. Operating across five regions, we power over 200 market leading events, publications and brands across Business Technologies, Healthcare, Learning, HR & Education, and Future Transport & Infrastructure. But what truly sets us apart is our people. WHO WE ARE LOOKING FOR: A technical leader who's built modern data platforms and integration systems at scale. Someone who's equally comfortable designing cloud architecture and rolling up their sleeves to solve hard problems. You've led engineering teams, championed DevOps practices, and have deep Azure experience. Bonus points if you've enabled third party developer ecosystems or worked in media/events/SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading and scaling engineering teams Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash THE ROLE: You'll own the technical vision and delivery of our core platforms: Build world class platforms Architect cloud native data and AI systems that support analytics, ML workloads, and real time operations Create API first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead exceptional teams Build, mentor, and scale high performing engineering teams Set standards for code quality, security, and performance Drive DevOps and CI/CD culture for fast, reliable delivery Drive business impact Translate business needs into technical solutions Partner with product, data, and operations leaders Own the engineering roadmap and align resources to the outcome Platform & Architecture Leadership Define and own the technical vision and roadmap for CloserStill's core data, AI, and integration platforms Architect scalable, secure, and resilient cloud native solutions using Microsoft Azure Lead development of a unified data platform supporting business intelligence, analytics, AI/ML workloads, and real time operational use cases Design and evolve an API first integration platform enabling internal teams and external partners to build and integrate services efficiently Data, AI & MLOps Lead implementation and optimisation of data pipelines for data engineering, analytics, and machine learning Implement best practices for MLOps, including model deployment, monitoring, versioning, and lifecycle management Partner closely with data science and analytics teams to ensure platforms enable experimentation and production grade AI Engineering Leadership & Delivery Build, lead, and mentor high performing engineering teams across data platform and integration domains Set engineering standards for code quality, security, reliability, and performance Champion DevOps and CI/CD practices to ensure fast, safe, and repeatable delivery Balance strategic architecture work with hands on technical leadership where required Define and own the engineering roadmap and align to resource needs Work with: Azure, Databricks, Bash, JavaScript, Node, Python, PySpark, SQL Integration & Ecosystem Enablement Own the strategy and delivery of integration services, including public and private APIs, event driven and asynchronous integrations, and authentication/authorisation models Enable third party vendors, partners, and developers to integrate seamlessly into CloserStill's ecosystem Ensure strong governance, observability, and documentation across all integration services Stakeholder Collaboration Work closely with senior stakeholders across technology, product, data, and operations to align engineering outcomes with business objectives Translate business needs into scalable technical solutions Contribute to broader technology strategy and investment decisions Align the roadmap to business outcome delivery ABOUT YOU: Essential Experience: Proven experience in a senior engineering leadership role (Head of Engineering, Engineering Manager, or similar) Strong background in building data platforms for analytics and operational use cases Deep experience with Microsoft Azure cloud services Hands on experience designing and building APIs and integration platforms Experience working with Databricks for data engineering and analytics Strong understanding of MLOps practices and productionising machine learning models Experience leading and scaling engineering teams in a modern, agile environment Desirable Experience: Experience enabling third party developer ecosystems or platform as a product models Familiarity with event driven architectures and streaming technologies Background in media, events, SaaS, or data driven businesses Strong understanding of security, identity, and access management in cloud platforms Personal Attributes: Strategic thinker with a strong bias toward execution Comfortable operating at both architectural and hands on levels Excellent communicator, able to engage technical and non technical stakeholders and provide clear, concise project updates Passionate about data, AI, and building platforms that unlock business value Natural leader who develops teams and fosters a culture of engineering excellence Unfortunately, we are unable to provide sponsorship for this position. CloserStill Media reserves the right to request a DBS or credit check should the role require it. DIVERSITY AND INCLUSION: CloserStill Media embrace diversity in all its forms and are committed to continuing to develop a diverse and inclusive environment that encourages collaboration and innovation. We are an equal opportunity employer. All applicants will be considered for employment based on merit without attention to age, ethnicity, religion or beliefs, sexual orientation, gender identity, family or parental status or disability status. We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments at any stage, don't hesitate to get in touch with our HR team at .