Portfolio Data Science Director

GlaxoSmithKline; Upper Providence (Delaware County); Híbrido; USD 260.000 - 380.000; Jornada completa

Descripción de la vacante

GlaxoSmithKline seeks a Portfolio Data Science Director to lead a multidisciplinary team delivering analytics, AI, and decision-support tools for R&D and strategic resource management. The role partners with senior leaders to align analytics with portfolio priorities and governance standards.

You will shape the analytics roadmap, mentor data scientists and engineers, and ensure scalable, production-ready solutions with clear ownership and documentation.

Formación

• Doctoral or Master’s with extensive data/analytics leadership experience
• Proven track record leading data science, analytics and AI initiatives
• Experience delivering analytics applications to internal users from concept to production

Responsabilidades

• Define and own strategy for data science, analytics and AI in R&D portfolio and resource decisions
• Lead and develop multidisciplinary teams across data science, analytics and engineering
• Deliver robust analytics apps and dashboards for business users with production-grade quality
• Partner with senior stakeholders to shape investment priorities and governance for responsible AI

Conocimientos

People leadership

Strategy

Stakeholder engagement

Analytics leadership

Educación

Doctoral degree in quantitative/scientific discipline

Master's degree with extensive relevant experience

Herramientas

Python

R

Cloud platforms

CI/CD

Containerisation

Descripción del empleo

Portfolio Data Science Director

Business IntroductionGSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver 40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.Our diverse portfolio consists of vaccines, specialty medicines, and general medicines.Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.Position Summary

Position Summary

The Head, Data Science, Analytics, and AI sets the vision for, builds and leads the data science, analytics and AI capability that underpins R&D portfolio and strategic resource-management decisions. A peer to the Senior Director, Portfolio Projects, you will own the strategy, talent, standards and delivery of a multidisciplinary team -Portfolio, Finance and Strategic Resource Management teams - and be accountable for turning data into decision-ready analytics applications that internal business users rely on every day.

This is a senior people-leadership role. You will lead, grow and develop a team of data scientists, analysts and engineers; set technical direction across data science and analytics projects; and partner with senior leaders across development operations, research units, finance and technology to translate business need into high-impact, responsibly built solutions.

Responsibilities

Strategy & vision

• Define and own the strategy for data science, analytics and AI in support of R&D portfolio investment and strategic resource-management decisions.
• Shape the roadmap of models, analytics applications and capabilities, balancing near-term delivery with long-term capability build.
• Act as a peer to the Senior Director, Portfolio Projects, aligning the analytics agenda with portfolio, finance and operational priorities.

People & technical leadership

• Lead, hire, grow and develop a multidisciplinary team of data scientists, analysts and engineers, to support analytics across multiple teams including the Finance, Portfolio and Strategic Resource Management teams.
• Set technical direction and standards across data science and analytics projects; manage prioritisation, delivery and quality across a portfolio of work.
• Provide coaching, career development and performance management, building a high-performing, inclusive team culture.

Delivery of analytics applications to business users

• Be accountable for delivering robust, usable analytics applications and products to internal business users - from valuation and forecasting tools to resource-planning and KPI dashboards.
• Ensure solutions are production-grade, well-supported and adopted, with clear ownership, documentation and user enablement.
• Drive reusable platforms, patterns and standards that scale analytics delivery across the function.

Partnership, governance & responsible AI

• Partner with and influence senior and executive stakeholders, presenting analysis, trade-offs and recommendations that shape investment and resourcing decisions.
• Own analytical governance, data quality and methodological rigour across the function's deliverables.
• Champion the responsible, compliant use of Gen AI and advanced analytics in a regulated environment.

Qualifications / Skills

Basic Qualifications

• Doctoral degree in a quantitative or scientific discipline (e.g. statistics, computer science, engineering, operations research, economics, physical or life sciences) with 10+ years of relevant experience; or a Master's degree with extensive years of relevant experience.
• Demonstrated people-leadership experience, leading and developing teams of data scientists and technical/analytics project teams.
• Demonstrated ability to deliver analytics applications to internal business users, from concept through production adoption.
• Deep expertise across data science, analytics and AI methods, with the judgement to match methods to business decisions.
• Experience partnering with and influencing senior and executive stakeholders through structured, data-backed recommendations.
• Experience managing prioritisation and delivery across a portfolio of technical projects to agreed timelines.

Preferred Qualifications

• Experience in pharmaceuticals, biotech or another R&D-intensive industry, ideally with exposure to portfolio, investment or resource-management decision-making.
• Track record of building or scaling a data science / analytics function, including platforms, standards and ways of working.
• Hands-on grounding in modern data science and software delivery (e.g. Python/R, cloud, app development frameworks, CI/CD, containerisation).
• Experience establishing responsible-AI, model-governance and data-quality practices.
• Experience with Generative AI tools and frameworks and their responsible application to business problems.
• Experience working in a matrixed, global organisation.

Work Location

This role can be based from GSK HQ London or Upper Providence, or Durham NC USA and offers a hybrid working model, combining on-site and remote work.

Closing Date for Applications

14th October 2026

Our approach

We value clear, practical thinking and constructive collaboration. We want people who care about building others, who explain complex ideas simply and who focus on delivering high-quality, trustworthy analyses that improve patient outcomes.

Skills

Continuing Learning, Influencing Without Authority, Leadership, Problem Solving, Statistical Methods

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at [e-mail] where you can also request a call.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

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