About the Opportunity The Insights Team exists to enable and produce credible and data driven insights from our BIA data set to help B Lab and others pursue its theory of change and goal of creating an inclusive, equitable, and regenerative economy. Specific responsibilities are: Set and implement insights strategy in coordination with B Lab Theory of Change and Objectives Analyze data to inform standards improvements Produce external insights on key topics related to B Lab's theory of change, including but not limited to B Lab's impact as an organization Engage, support, and partner with research organizations and academics on key topics related to B Lab's theory of change Manage a monitoring and evaluation framework to support program leads, global partners, and other decision makers in their own monitoring and evaluation and strategic decision-making Manage and improve B Lab's dataset to ensure optimal usage and value internally and externally As part of the Insights team, the Insights Analyst will serve as the knowledge holders of our existing standards and data systems, the keys to the actual production of the "Insights" we are seeking now and in the future, and thus be the key drivers of us creating a more specialized and more impactful "Insights" team and strategy. This role will be the expert in managing and generating insights on a day to day basis - overseeing and guiding the management and quality of our data (including standards content as well as results), analyzing that data to identify trends and other key insights and recommendations. They will also provide active support to others based on their expertise to support a network and culture of data-driven decision making, communications, and partnerships. Core Responsibilities Internal analytics, data use, and data provision 60% Upgrade and maintain dashboards Support managing a ticketing system to respond to data requests from across the B Lab network, as well as speaking to staff across the organization to understand data needs Support the development and implementation of internal data use guidance and training materials through research, distilling data, and sharing findings via presentations or written share outs Manage and maintain external data provision (i.e. data.world) Coordinate and collaborate with the technology team to update dashboards with accurate data as database schema changes Collaborate closely with data engineers to optimize data retrieval, storage, and processing procedures Develop and maintain data models to support dashboards and deliver enhanced insights through machine learning techniques Research and thought leadership 20% Research and analyze data for internal studies and to contribute to thought leadership pieces Support the Global Communications and Global Policy teams through data creation and distilling complex data to digestible pieces to bolster evidence-informed narratives Support external (research) parties on thought leadership and research pieces B Lab Monitoring Evaluation and Learning (MEL) support 20% Provide research and data analytics support for the development and implementation of the B Lab MEL framework Support on the data analytics required to implement B Lab's MEL framework About you At least 2 years of professional experience, with at least 1 year of that experience focused on data analytics Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail, presentation and accuracy Specialist in Business Intelligence tools ( Tableau, Power BI , Metabase, etc.) and querying databases (Postgresql, AWS Athena, etc.), and Salesforce Knowledge and experience using programming languages ( SQL mandator y; R, Python preferred) and data tools (Excel, Google Sheets) in a data analysis, machine learning, or data science capacity Emerging skills in using AI tools to support data analysis, with an emphasis on human oversight, quality checks, and responsible use of AI. Experience or desire to assist in the design and maintenance of scalable data pipelines to ensure efficient data flow and accessibility Adept applying and explaining basic statistical methods (e.g., descriptive statistics and hypothesis testing) in data storytelling and decision-making Ability to listen objectively to many points of view while actively checking one's own assumptions and reducing bias Experience with working across departments, with internal and external stakeholders, and with people from a variety of expertise Ability to understand the needs and interests of stakeholders, and to productively collaborate towards joints results Self-directed with the ability to work both independently and as part of a team BS in Mathematics, Computer Science, Information Management, Statistics or comparable education While not required, please note in your application if you have: Business proficiency in languages other than English is a plus, especially Spanish or French Previous experience working in an international non-profit Fluency in navigating Google Suite (or a comparable office suite and/or cloud-based file storage) Have a passion for using business as a force for good, and support the B Lab team focused on this mission Compensation Details B Lab has a compensation plan that includes: An annual salary in the range of £42,000 - £45,000 based on skills and experience In your first year, you'll start with 20 vacation days in addition to national & bank holidays; this increases to 25 days after your third anniversary Additional time off during org- wide closures when the entire organization is closed (not including holidays) After your first year of employment - paid time off for community service, 40 hours of paid time off for professional development, and a professional development budget (we assess this PD budget annually) Additional floating holidays and personal days (prorated to start date) Medical and dental supplemental insurance for the employee through BUPA Life insurance benefit Income protection insurance Statutory pension Global travel insurance A remote-first workplace A flexible work environment with the ability to plan your work week around your personal commitments While this is a remote-first opportunity, the candidate filling this role must be a resident of and be based in Brazil, the Netherlands, the UK, Pennsylvania, New York, or the District of Columbia at the start of employment. Additionally, they must be within commuting distance of our office in São Paulo, Amsterdam, London, Philadelphia, New York City, or Washington, D.C. We require all of the following in order to consider your application: Resume Complete responses to our standard set of application questions A valid work permit with no restrictions or time limitations Please do not include a cover letter. If you progress through additional stages in the hiring process you can expect to: Step 1: Submit your resume and responses to our application questions Step 2: Participate in an interview with a panel via Google Meet or Zoom Step 3: Complete a brief hiring exercise and participate in a second panel interview via Google Meet or Zoom Please note that your first day of work might be in-person at one of our locations. We will begin reviewing applications on February 6 , 2026 and will continue until we identify a diverse and qualified candidate pool. We plan to close this job ad at 11:45p.m. on February 27th. If we decide to close the job ad earlier we will add a 48-hour notice before closing it early. Please note: All applications will be reviewed by our team, and all candidates will receive a status update via email after their application has been reviewed, which we expect to complete by February 27 . Due to capacity constraints on our hiring team, we are unable to provide you with a specific status update beyond these parameters. Our ideal start date for this role mid April, 2026 or May1, 2026 at the latest. If we can offer reasonable accommodations to you in the application or interview processes, or if you have feedback on how we could improve the equity or accessibility of our recruitment, you are welcome to contact us at with the subject line "Accommodation request - Insights Analyst". Please note that we are unable to respond to general status inquiries or other messages that are unrelated to accessing our application or interview processes.
Feb 07, 2026
Full time
About the Opportunity The Insights Team exists to enable and produce credible and data driven insights from our BIA data set to help B Lab and others pursue its theory of change and goal of creating an inclusive, equitable, and regenerative economy. Specific responsibilities are: Set and implement insights strategy in coordination with B Lab Theory of Change and Objectives Analyze data to inform standards improvements Produce external insights on key topics related to B Lab's theory of change, including but not limited to B Lab's impact as an organization Engage, support, and partner with research organizations and academics on key topics related to B Lab's theory of change Manage a monitoring and evaluation framework to support program leads, global partners, and other decision makers in their own monitoring and evaluation and strategic decision-making Manage and improve B Lab's dataset to ensure optimal usage and value internally and externally As part of the Insights team, the Insights Analyst will serve as the knowledge holders of our existing standards and data systems, the keys to the actual production of the "Insights" we are seeking now and in the future, and thus be the key drivers of us creating a more specialized and more impactful "Insights" team and strategy. This role will be the expert in managing and generating insights on a day to day basis - overseeing and guiding the management and quality of our data (including standards content as well as results), analyzing that data to identify trends and other key insights and recommendations. They will also provide active support to others based on their expertise to support a network and culture of data-driven decision making, communications, and partnerships. Core Responsibilities Internal analytics, data use, and data provision 60% Upgrade and maintain dashboards Support managing a ticketing system to respond to data requests from across the B Lab network, as well as speaking to staff across the organization to understand data needs Support the development and implementation of internal data use guidance and training materials through research, distilling data, and sharing findings via presentations or written share outs Manage and maintain external data provision (i.e. data.world) Coordinate and collaborate with the technology team to update dashboards with accurate data as database schema changes Collaborate closely with data engineers to optimize data retrieval, storage, and processing procedures Develop and maintain data models to support dashboards and deliver enhanced insights through machine learning techniques Research and thought leadership 20% Research and analyze data for internal studies and to contribute to thought leadership pieces Support the Global Communications and Global Policy teams through data creation and distilling complex data to digestible pieces to bolster evidence-informed narratives Support external (research) parties on thought leadership and research pieces B Lab Monitoring Evaluation and Learning (MEL) support 20% Provide research and data analytics support for the development and implementation of the B Lab MEL framework Support on the data analytics required to implement B Lab's MEL framework About you At least 2 years of professional experience, with at least 1 year of that experience focused on data analytics Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail, presentation and accuracy Specialist in Business Intelligence tools ( Tableau, Power BI , Metabase, etc.) and querying databases (Postgresql, AWS Athena, etc.), and Salesforce Knowledge and experience using programming languages ( SQL mandator y; R, Python preferred) and data tools (Excel, Google Sheets) in a data analysis, machine learning, or data science capacity Emerging skills in using AI tools to support data analysis, with an emphasis on human oversight, quality checks, and responsible use of AI. Experience or desire to assist in the design and maintenance of scalable data pipelines to ensure efficient data flow and accessibility Adept applying and explaining basic statistical methods (e.g., descriptive statistics and hypothesis testing) in data storytelling and decision-making Ability to listen objectively to many points of view while actively checking one's own assumptions and reducing bias Experience with working across departments, with internal and external stakeholders, and with people from a variety of expertise Ability to understand the needs and interests of stakeholders, and to productively collaborate towards joints results Self-directed with the ability to work both independently and as part of a team BS in Mathematics, Computer Science, Information Management, Statistics or comparable education While not required, please note in your application if you have: Business proficiency in languages other than English is a plus, especially Spanish or French Previous experience working in an international non-profit Fluency in navigating Google Suite (or a comparable office suite and/or cloud-based file storage) Have a passion for using business as a force for good, and support the B Lab team focused on this mission Compensation Details B Lab has a compensation plan that includes: An annual salary in the range of £42,000 - £45,000 based on skills and experience In your first year, you'll start with 20 vacation days in addition to national & bank holidays; this increases to 25 days after your third anniversary Additional time off during org- wide closures when the entire organization is closed (not including holidays) After your first year of employment - paid time off for community service, 40 hours of paid time off for professional development, and a professional development budget (we assess this PD budget annually) Additional floating holidays and personal days (prorated to start date) Medical and dental supplemental insurance for the employee through BUPA Life insurance benefit Income protection insurance Statutory pension Global travel insurance A remote-first workplace A flexible work environment with the ability to plan your work week around your personal commitments While this is a remote-first opportunity, the candidate filling this role must be a resident of and be based in Brazil, the Netherlands, the UK, Pennsylvania, New York, or the District of Columbia at the start of employment. Additionally, they must be within commuting distance of our office in São Paulo, Amsterdam, London, Philadelphia, New York City, or Washington, D.C. We require all of the following in order to consider your application: Resume Complete responses to our standard set of application questions A valid work permit with no restrictions or time limitations Please do not include a cover letter. If you progress through additional stages in the hiring process you can expect to: Step 1: Submit your resume and responses to our application questions Step 2: Participate in an interview with a panel via Google Meet or Zoom Step 3: Complete a brief hiring exercise and participate in a second panel interview via Google Meet or Zoom Please note that your first day of work might be in-person at one of our locations. We will begin reviewing applications on February 6 , 2026 and will continue until we identify a diverse and qualified candidate pool. We plan to close this job ad at 11:45p.m. on February 27th. If we decide to close the job ad earlier we will add a 48-hour notice before closing it early. Please note: All applications will be reviewed by our team, and all candidates will receive a status update via email after their application has been reviewed, which we expect to complete by February 27 . Due to capacity constraints on our hiring team, we are unable to provide you with a specific status update beyond these parameters. Our ideal start date for this role mid April, 2026 or May1, 2026 at the latest. If we can offer reasonable accommodations to you in the application or interview processes, or if you have feedback on how we could improve the equity or accessibility of our recruitment, you are welcome to contact us at with the subject line "Accommodation request - Insights Analyst". Please note that we are unable to respond to general status inquiries or other messages that are unrelated to accessing our application or interview processes.
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Science at Trainline Data Science is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded in cross-functional teams across Product and Marketing, empowered with a high degree of autonomy to drive outcomes using all data and techniques at their disposal. As the Head of Data Science, you will lead a team of high-performing Data Science Managers and play a pivotal role in shaping a large cross-functional organisation spanning Product, Engineering, Marketing and Data. You will be a key decision-maker, helping define and deliver a product experience that provides the right inventory, enables a seamless purchase journey, and drives forward our future ticketing opportunities. Doing this well requires deeply understanding our users, identifying their Jobs-to-Be-Done, evaluating whether we are successfully meeting their needs, and accelerating the pace of product discovery and iteration. Your team will influence strategic product thinking, strengthen experimentation and measurement practices, and shape how AI and data power our product experience. In this role, your leadership spans two complementary dimensions: Functional leadership, setting the bar for excellence in Data Science & Analytics. Strategic business partnership, working closely with Product, Engineering, Commercial and Marketing to define long-term direction and deliver impactful outcomes. As a Head of Data Science at Trainline, you will Lead & Develop a High-Performing Data Science Organisation Lead an org of 3 Data Science Managers and their respective teams. Build a culture focused on experimentation, learning, and measurable business impact. Ensure Data Science & Analytics talent is embedded effectively into cross-functional squads and operating at a high bar. Shape Strategy Through Data Act as a co-leader of a large cross functional strategic area of 150 people, defining long-term vision and strategy. Provide data-driven frameworks to structure product thinking - user classifications, Jobs-to-Be-Done, north star metrics, success criteria, and evaluation methods. Influence prioritisation and roadmap decisions by grounding strategic choices in evidence and insight. Advance Experimentation, Measurement & Goaling Champion and mature experimentation practices across teams. Develop clear goaling methodologies enabling rapid iteration and learning. Ensure robust evaluation of product changes, including holdouts and causal inference methods. Elevate Data, AI & Infrastructure Capabilities Work with our ML Engineering counterparts to help shape our wider AI/ML strategy. Influence Data Engineering, BI and Platform priorities to improve data maturity, quality and tooling. Ensure foundational datasets and metrics are trusted, consistent and scalable. Drive High-Impact Outcomes & Senior Communication Hold the organisation to a high bar for analytical rigour and business impact. Communicate insights, strategy, and progress to senior leadership. Drive alignment and influence decision-making across the company. We'd love to hear from you if you have Experience leading data-driven teams in the product space within tech organisations. Proven experience managing Data Science Managers or Data Scientists & Analysts. Demonstrated driving growth and influencing strategy in online products. Experience setting strategic direction, thinking big, and executing effectively. Ability to distil complex analysis into clear, actionable communication for all levels. Strong experience guiding experimentation and test-and-learn cultures. Ability to navigate ambiguous datasets and translate them into insights. Strong stakeholder management and cross-functional leadership experience. Strong data visualisation and communication skills. Knowledge of statistical and causal inference methods. Tech stack: SQL, Python, dbt, Tableau, Trino, AWS Athena + more. More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Feb 03, 2026
Full time
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Science at Trainline Data Science is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded in cross-functional teams across Product and Marketing, empowered with a high degree of autonomy to drive outcomes using all data and techniques at their disposal. As the Head of Data Science, you will lead a team of high-performing Data Science Managers and play a pivotal role in shaping a large cross-functional organisation spanning Product, Engineering, Marketing and Data. You will be a key decision-maker, helping define and deliver a product experience that provides the right inventory, enables a seamless purchase journey, and drives forward our future ticketing opportunities. Doing this well requires deeply understanding our users, identifying their Jobs-to-Be-Done, evaluating whether we are successfully meeting their needs, and accelerating the pace of product discovery and iteration. Your team will influence strategic product thinking, strengthen experimentation and measurement practices, and shape how AI and data power our product experience. In this role, your leadership spans two complementary dimensions: Functional leadership, setting the bar for excellence in Data Science & Analytics. Strategic business partnership, working closely with Product, Engineering, Commercial and Marketing to define long-term direction and deliver impactful outcomes. As a Head of Data Science at Trainline, you will Lead & Develop a High-Performing Data Science Organisation Lead an org of 3 Data Science Managers and their respective teams. Build a culture focused on experimentation, learning, and measurable business impact. Ensure Data Science & Analytics talent is embedded effectively into cross-functional squads and operating at a high bar. Shape Strategy Through Data Act as a co-leader of a large cross functional strategic area of 150 people, defining long-term vision and strategy. Provide data-driven frameworks to structure product thinking - user classifications, Jobs-to-Be-Done, north star metrics, success criteria, and evaluation methods. Influence prioritisation and roadmap decisions by grounding strategic choices in evidence and insight. Advance Experimentation, Measurement & Goaling Champion and mature experimentation practices across teams. Develop clear goaling methodologies enabling rapid iteration and learning. Ensure robust evaluation of product changes, including holdouts and causal inference methods. Elevate Data, AI & Infrastructure Capabilities Work with our ML Engineering counterparts to help shape our wider AI/ML strategy. Influence Data Engineering, BI and Platform priorities to improve data maturity, quality and tooling. Ensure foundational datasets and metrics are trusted, consistent and scalable. Drive High-Impact Outcomes & Senior Communication Hold the organisation to a high bar for analytical rigour and business impact. Communicate insights, strategy, and progress to senior leadership. Drive alignment and influence decision-making across the company. We'd love to hear from you if you have Experience leading data-driven teams in the product space within tech organisations. Proven experience managing Data Science Managers or Data Scientists & Analysts. Demonstrated driving growth and influencing strategy in online products. Experience setting strategic direction, thinking big, and executing effectively. Ability to distil complex analysis into clear, actionable communication for all levels. Strong experience guiding experimentation and test-and-learn cultures. Ability to navigate ambiguous datasets and translate them into insights. Strong stakeholder management and cross-functional leadership experience. Strong data visualisation and communication skills. Knowledge of statistical and causal inference methods. Tech stack: SQL, Python, dbt, Tableau, Trino, AWS Athena + more. More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail ️ Own It - We focus on every customer, partner and journey Travel Together - We're one team ️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
The James Watt Nanofabrication Centre (JWNC) conducts fundamental, applied, and commercial research, driving development, prototyping, and pilot production using advanced nanofabrication techniques. The Centre collaborates with over 90 national and international universities and research institutes and partners across 28 countries. Its key capabilities include plasma processing, electron beam lithography, photolithography, thin film deposition, and metrology. The University of Glasgow has over 45 years' experience of delivering micro- and nano-fabrication (and in particular electron-beam lithography) to develop solutions in processing, nanotechnology, nanoelectronics, optoelectronics, mm-wave & terahertz, bioengineering, biotechnology, lab-on-a-chip, cleantech & energy, photovoltaics, security & defence and a host of other applications. The JWNC presently has over £70+M of active research grants undertaking micro- and nano-fabrication. The Centre works closely with the University's wholly owned subsidiary, Kelvin Nanotechnology Ltd (KNT). KNT provides commercial access to the Centre's facilities and expertise for industry, governments, institutes and other universities. KNT has worked with more than 250 companies from 20 countries since its inception in 1998. Job Purpose The Head of Operations ensures the effective, sustainable and strategically aligned operation of the James Watt Nanofabrication Centre (JWNC), enabling world-class research and innovation. This role leads business planning, financial management, facilities operation and infrastructure development to optimise facility performance and support long-term growth. Through strong leadership and people management, the postholder fosters a high-performance culture, identifies opportunities for commercialisation and strategic advancement and builds effective partnerships with internal and external stakeholders. Working closely with the Head of Engineering and Process, the Head of Operations will ensure the JWNC is a safe, efficient and innovative environment, underpinned by robust operational systems and resources that support the Centre's technical and research excellence. Main Duties and Responsibilities People & Organisational Leadership Provide strong, visible leadership for the JWNC, promoting a culture of professionalism, collaboration, and continuous improvement across its operations. Effectively build and lead a high-performing team to deliver an effective and efficient service that aligns with JWNC/School/College/University objectives, ensuring clarity of roles, effective performance management, and staff development. Create an inclusive, engaged and motivated work environment that supports professional development and talent retention. Mentor and support team members, fostering a culture of accountability and continuous learning. Operational Leadership Provide overall leadership for JWNC operations, ensuring that the cleanroom and associated facilities are safe, reliable, and efficiently managed to deliver world-class research. Lead operational planning, scheduling, and service delivery to maximise user satisfaction and ensure compliance with University and statutory requirements. Overall responsibility for developing and embedding robust systems for health & safety, risk management, quality assurance, and compliance, ensuring these frameworks are consistently implemented and maintained. Monitor and enhance JWNC performance through data-driven analysis, implementing service improvements to drive utilisation, impact and cost effectiveness of the facility. Financial & Strategic Management Lead on JWNC's financial sustainability, including income generation, cost recovery, pricing structures, and budget management. Develop and deliver the JWNC Operational and Business Plans, aligned with University strategy and external partnerships. Identify and drive opportunities for commercialisation and strategic growth, ensuring JWNC remains competitive and future-focused. Manage contracts, commercial agreements, and relationships with industry partners, ensuring mutual benefit and financial resilience. Work collaboratively with colleagues within the School/College/University to enhance service delivery and ensure alignment with wider initiatives including the Technician Commitment and the Professional Services Career Framework. Infrastructure & Facilities Development Oversee lifecycle management of facilities and infrastructure, including equipment replacement, upgrades, and preventative maintenance. Make a leading contribution to capital projects and major developments, including the relocation of JWNC to the Critical Technologies Nanofabrication Facility (CTNF). Work with the Head of Engineering and Process to ensure facilities are future-proofed to meet evolving user needs through strategic planning and stakeholder engagement. Knowledge, Qualifications, Skills and Experience Knowledge/Qualifications Essential Scottish Credit and Qualification Framework level 9,10 or 11 (Ordinary/Honours Degree, Post Graduate Qualification), or equivalent, including being professionally qualified in relevant discipline, with a broad range of professional leadership experience in strategically important specialist areas. Ability to demonstrate the necessary strategic competencies required to undertake the duties associated with this level of post having acquired the necessary professional knowledge and leadership experience in a similar or number of different specialist roles. Extensive knowledge and experience of business functions, operational processes and compliance frameworks in a complex high technology environment. Desirable A PhD or equivalent research experience in Engineering or a closely related discipline. Skills Essential Demonstrable ability to provide strong operational and strategic leadership within a complex, high technology environment to ensure the delivery of a high-quality, customer focussed, efficient service. Excellent interpersonal and influencing skills, with the ability to build and manage relationships with diverse stakeholders, including industry partners and academic collaborators. Strong communication skills, both verbal and written, with the ability to tailor messaging to varied internal and external stakeholders. Strong business focus, with the ability to manage strategic relationships, understand organisational requirements and deliver strategic outcomes. Experience Essential Previous experience in senior operational leadership role, with a demonstrable ability to shape and deliver against strategic plans. Experience of effectively leading and managing people, promoting employee engagement and maintaining a motivated and productive workforce. Proven track record of delivering operational excellence and driving continuous improvement. Demonstrable experience in financial management, income generation and commercialisation activities. Demonstrable experience of values-led leadership. Experience of working collaboratively with senior colleagues to formulate, develop and deliver major projects and strategic priorities. Terms and Conditions Salary will be Grade 9, £59,966 - £67,468 per annum. This post is full time (35 hours per week) and open ended (permanent). As a valued member of our team, you can expect: A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook, benefits and discount packages. A flexible approach to working. A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University. We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community. We endorse the principles of Athena Swan and hold bronze, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website for more information. Closing Date: 11 February 2026
Feb 02, 2026
Full time
The James Watt Nanofabrication Centre (JWNC) conducts fundamental, applied, and commercial research, driving development, prototyping, and pilot production using advanced nanofabrication techniques. The Centre collaborates with over 90 national and international universities and research institutes and partners across 28 countries. Its key capabilities include plasma processing, electron beam lithography, photolithography, thin film deposition, and metrology. The University of Glasgow has over 45 years' experience of delivering micro- and nano-fabrication (and in particular electron-beam lithography) to develop solutions in processing, nanotechnology, nanoelectronics, optoelectronics, mm-wave & terahertz, bioengineering, biotechnology, lab-on-a-chip, cleantech & energy, photovoltaics, security & defence and a host of other applications. The JWNC presently has over £70+M of active research grants undertaking micro- and nano-fabrication. The Centre works closely with the University's wholly owned subsidiary, Kelvin Nanotechnology Ltd (KNT). KNT provides commercial access to the Centre's facilities and expertise for industry, governments, institutes and other universities. KNT has worked with more than 250 companies from 20 countries since its inception in 1998. Job Purpose The Head of Operations ensures the effective, sustainable and strategically aligned operation of the James Watt Nanofabrication Centre (JWNC), enabling world-class research and innovation. This role leads business planning, financial management, facilities operation and infrastructure development to optimise facility performance and support long-term growth. Through strong leadership and people management, the postholder fosters a high-performance culture, identifies opportunities for commercialisation and strategic advancement and builds effective partnerships with internal and external stakeholders. Working closely with the Head of Engineering and Process, the Head of Operations will ensure the JWNC is a safe, efficient and innovative environment, underpinned by robust operational systems and resources that support the Centre's technical and research excellence. Main Duties and Responsibilities People & Organisational Leadership Provide strong, visible leadership for the JWNC, promoting a culture of professionalism, collaboration, and continuous improvement across its operations. Effectively build and lead a high-performing team to deliver an effective and efficient service that aligns with JWNC/School/College/University objectives, ensuring clarity of roles, effective performance management, and staff development. Create an inclusive, engaged and motivated work environment that supports professional development and talent retention. Mentor and support team members, fostering a culture of accountability and continuous learning. Operational Leadership Provide overall leadership for JWNC operations, ensuring that the cleanroom and associated facilities are safe, reliable, and efficiently managed to deliver world-class research. Lead operational planning, scheduling, and service delivery to maximise user satisfaction and ensure compliance with University and statutory requirements. Overall responsibility for developing and embedding robust systems for health & safety, risk management, quality assurance, and compliance, ensuring these frameworks are consistently implemented and maintained. Monitor and enhance JWNC performance through data-driven analysis, implementing service improvements to drive utilisation, impact and cost effectiveness of the facility. Financial & Strategic Management Lead on JWNC's financial sustainability, including income generation, cost recovery, pricing structures, and budget management. Develop and deliver the JWNC Operational and Business Plans, aligned with University strategy and external partnerships. Identify and drive opportunities for commercialisation and strategic growth, ensuring JWNC remains competitive and future-focused. Manage contracts, commercial agreements, and relationships with industry partners, ensuring mutual benefit and financial resilience. Work collaboratively with colleagues within the School/College/University to enhance service delivery and ensure alignment with wider initiatives including the Technician Commitment and the Professional Services Career Framework. Infrastructure & Facilities Development Oversee lifecycle management of facilities and infrastructure, including equipment replacement, upgrades, and preventative maintenance. Make a leading contribution to capital projects and major developments, including the relocation of JWNC to the Critical Technologies Nanofabrication Facility (CTNF). Work with the Head of Engineering and Process to ensure facilities are future-proofed to meet evolving user needs through strategic planning and stakeholder engagement. Knowledge, Qualifications, Skills and Experience Knowledge/Qualifications Essential Scottish Credit and Qualification Framework level 9,10 or 11 (Ordinary/Honours Degree, Post Graduate Qualification), or equivalent, including being professionally qualified in relevant discipline, with a broad range of professional leadership experience in strategically important specialist areas. Ability to demonstrate the necessary strategic competencies required to undertake the duties associated with this level of post having acquired the necessary professional knowledge and leadership experience in a similar or number of different specialist roles. Extensive knowledge and experience of business functions, operational processes and compliance frameworks in a complex high technology environment. Desirable A PhD or equivalent research experience in Engineering or a closely related discipline. Skills Essential Demonstrable ability to provide strong operational and strategic leadership within a complex, high technology environment to ensure the delivery of a high-quality, customer focussed, efficient service. Excellent interpersonal and influencing skills, with the ability to build and manage relationships with diverse stakeholders, including industry partners and academic collaborators. Strong communication skills, both verbal and written, with the ability to tailor messaging to varied internal and external stakeholders. Strong business focus, with the ability to manage strategic relationships, understand organisational requirements and deliver strategic outcomes. Experience Essential Previous experience in senior operational leadership role, with a demonstrable ability to shape and deliver against strategic plans. Experience of effectively leading and managing people, promoting employee engagement and maintaining a motivated and productive workforce. Proven track record of delivering operational excellence and driving continuous improvement. Demonstrable experience in financial management, income generation and commercialisation activities. Demonstrable experience of values-led leadership. Experience of working collaboratively with senior colleagues to formulate, develop and deliver major projects and strategic priorities. Terms and Conditions Salary will be Grade 9, £59,966 - £67,468 per annum. This post is full time (35 hours per week) and open ended (permanent). As a valued member of our team, you can expect: A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook, benefits and discount packages. A flexible approach to working. A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University. We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community. We endorse the principles of Athena Swan and hold bronze, silver and gold awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website for more information. Closing Date: 11 February 2026
Data Architect 3 days a week onsite in Sunderland 35hr working week with flexible working hours We're looking for an experienced Data Architect to join a well-established company who are going through an enterprise-wide modernisation programme. This is a brand-new role within the business and you'll be responsible for defining and evolving the data architecture that underpins enterprise-scale BI and self-service analytics across a large, complex organisation operating across the UK and Europe. This is a strategic and hands-on role where you will set the technical vision, standards, and frameworks for modern data platforms, ensuring they are scalable, secure, cost-effective, and aligned with business priorities. You will act as a technical authority for data architecture, working closely with BI Engineers, Developers, Product, and senior stakeholders to enable high-quality analytics and data products today and in the future. What you'll be doing Architecture & Strategy Assess existing data architectures, documenting current-state models, pipelines, tools, and standards Define and maintain the enterprise data architecture vision and roadmap aligned to BI strategy and business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers Technology Leadership Evaluate and recommend modern data technologies and tooling Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proof Data Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed data governance frameworks covering ownership, quality, security, and compliance Collaboration & Influence Partner with BI leadership to shape data and analytics strategy Provide architectural guidance and mentorship to BI Engineers and Developers Work closely with frontend BI Developers to ensure data structures support performant dashboards Translate business requirements into clear, practical architectural solutions Facilitate architecture workshops and discussions with technical and non-technical stakeholders What we're looking for Essential experience Extensive experience in data architecture, designing and delivering enterprise-scale data solutions Strong expertise in data modelling with excellent SQL skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural best practice with delivery and cost constraints Curious, continuous learner with an interest in emerging technologies Confident communicator who can influence and build trust across technical and business teams This is a great opportunity where you'll get the opportunity to shape the data architecture for a large, multi-country organisation and work with modern cloud and analytics technologies at scale. You'll play a strategic role with real influence over how data enables the business and will collaborate with experienced BI and data professionals in a growing, evolving environment. If you're passionate about building robust, scalable data architectures and want to have a meaningful impact on how data is used across an organisation, please send your CV.
Jan 31, 2026
Full time
Data Architect 3 days a week onsite in Sunderland 35hr working week with flexible working hours We're looking for an experienced Data Architect to join a well-established company who are going through an enterprise-wide modernisation programme. This is a brand-new role within the business and you'll be responsible for defining and evolving the data architecture that underpins enterprise-scale BI and self-service analytics across a large, complex organisation operating across the UK and Europe. This is a strategic and hands-on role where you will set the technical vision, standards, and frameworks for modern data platforms, ensuring they are scalable, secure, cost-effective, and aligned with business priorities. You will act as a technical authority for data architecture, working closely with BI Engineers, Developers, Product, and senior stakeholders to enable high-quality analytics and data products today and in the future. What you'll be doing Architecture & Strategy Assess existing data architectures, documenting current-state models, pipelines, tools, and standards Define and maintain the enterprise data architecture vision and roadmap aligned to BI strategy and business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers Technology Leadership Evaluate and recommend modern data technologies and tooling Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proof Data Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed data governance frameworks covering ownership, quality, security, and compliance Collaboration & Influence Partner with BI leadership to shape data and analytics strategy Provide architectural guidance and mentorship to BI Engineers and Developers Work closely with frontend BI Developers to ensure data structures support performant dashboards Translate business requirements into clear, practical architectural solutions Facilitate architecture workshops and discussions with technical and non-technical stakeholders What we're looking for Essential experience Extensive experience in data architecture, designing and delivering enterprise-scale data solutions Strong expertise in data modelling with excellent SQL skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural best practice with delivery and cost constraints Curious, continuous learner with an interest in emerging technologies Confident communicator who can influence and build trust across technical and business teams This is a great opportunity where you'll get the opportunity to shape the data architecture for a large, multi-country organisation and work with modern cloud and analytics technologies at scale. You'll play a strategic role with real influence over how data enables the business and will collaborate with experienced BI and data professionals in a growing, evolving environment. If you're passionate about building robust, scalable data architectures and want to have a meaningful impact on how data is used across an organisation, please send your CV.
Data Architect 3 days a week onsite in London 35hr working week with flexible working hours We're looking for an experienced Data Architect to join a well-established company who are going through an enterprise-wide modernisation programme. This is a brand-new role within the business and you'll be responsible for defining and evolving the data architecture that underpins enterprise-scale BI and self-service analytics across a large, complex organisation operating across the UK and Europe. This is a strategic and hands-on role where you will set the technical vision, standards, and frameworks for modern data platforms, ensuring they are scalable, secure, cost-effective, and aligned with business priorities. You will act as a technical authority for data architecture, working closely with BI Engineers, Developers, Product, and senior stakeholders to enable high-quality analytics and data products today and in the future. What you'll be doing Architecture & Strategy Assess existing data architectures, documenting current-state models, pipelines, tools, and standards Define and maintain the enterprise data architecture vision and roadmap aligned to BI strategy and business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers Technology Leadership Evaluate and recommend modern data technologies and tooling Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proof Data Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed data governance frameworks covering ownership, quality, security, and compliance Collaboration & Influence Partner with BI leadership to shape data and analytics strategy Provide architectural guidance and mentorship to BI Engineers and Developers Work closely with frontend BI Developers to ensure data structures support performant dashboards Translate business requirements into clear, practical architectural solutions Facilitate architecture workshops and discussions with technical and non-technical stakeholders What we're looking for Essential experience Extensive experience in data architecture, designing and delivering enterprise-scale data solutions Strong expertise in data modelling with excellent SQL skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural best practice with delivery and cost constraints Curious, continuous learner with an interest in emerging technologies Confident communicator who can influence and build trust across technical and business teams This is a great opportunity where you'll get the opportunity to shape the data architecture for a large, multi-country organisation and work with modern cloud and analytics technologies at scale. You'll play a strategic role with real influence over how data enables the business and will collaborate with experienced BI and data professionals in a growing, evolving environment. If you're passionate about building robust, scalable data architectures and want to have a meaningful impact on how data is used across an organisation, please send your CV.
Jan 30, 2026
Full time
Data Architect 3 days a week onsite in London 35hr working week with flexible working hours We're looking for an experienced Data Architect to join a well-established company who are going through an enterprise-wide modernisation programme. This is a brand-new role within the business and you'll be responsible for defining and evolving the data architecture that underpins enterprise-scale BI and self-service analytics across a large, complex organisation operating across the UK and Europe. This is a strategic and hands-on role where you will set the technical vision, standards, and frameworks for modern data platforms, ensuring they are scalable, secure, cost-effective, and aligned with business priorities. You will act as a technical authority for data architecture, working closely with BI Engineers, Developers, Product, and senior stakeholders to enable high-quality analytics and data products today and in the future. What you'll be doing Architecture & Strategy Assess existing data architectures, documenting current-state models, pipelines, tools, and standards Define and maintain the enterprise data architecture vision and roadmap aligned to BI strategy and business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers Technology Leadership Evaluate and recommend modern data technologies and tooling Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proof Data Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed data governance frameworks covering ownership, quality, security, and compliance Collaboration & Influence Partner with BI leadership to shape data and analytics strategy Provide architectural guidance and mentorship to BI Engineers and Developers Work closely with frontend BI Developers to ensure data structures support performant dashboards Translate business requirements into clear, practical architectural solutions Facilitate architecture workshops and discussions with technical and non-technical stakeholders What we're looking for Essential experience Extensive experience in data architecture, designing and delivering enterprise-scale data solutions Strong expertise in data modelling with excellent SQL skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural best practice with delivery and cost constraints Curious, continuous learner with an interest in emerging technologies Confident communicator who can influence and build trust across technical and business teams This is a great opportunity where you'll get the opportunity to shape the data architecture for a large, multi-country organisation and work with modern cloud and analytics technologies at scale. You'll play a strategic role with real influence over how data enables the business and will collaborate with experienced BI and data professionals in a growing, evolving environment. If you're passionate about building robust, scalable data architectures and want to have a meaningful impact on how data is used across an organisation, please send your CV.
Job Title: AWS Support Engineer / Data Engineer Location: Ipswitch (onsite) Job Type: Permanent Job Summary: AWS Support Engineer / Data Engineer Telecom Domain (JD) Key Skills & Expertise AWS Core Services: S3, Redshift, Glue, Athena, Lake Formation, IAM Data Engineering / ETL: Building and optimizing ETL pipelines Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python) Working wi click apply for full job details
Jan 15, 2026
Contractor
Job Title: AWS Support Engineer / Data Engineer Location: Ipswitch (onsite) Job Type: Permanent Job Summary: AWS Support Engineer / Data Engineer Telecom Domain (JD) Key Skills & Expertise AWS Core Services: S3, Redshift, Glue, Athena, Lake Formation, IAM Data Engineering / ETL: Building and optimizing ETL pipelines Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python) Working wi click apply for full job details
