Finance Portfolio Analytics Manager

GSK; Collegeville (PA); Hybrid; USD 140,000 - 240,000; Full time

Job summary

GSK seeks a senior Finance Portfolio Analytics Manager to build the analytics capability that underpins R&D portfolio decisions. You will design models and dashboards, lead strategic analyses, and translate scientific data into quantified financial impact.

This is a senior individual-contributor role with no direct reports; you will mentor analysts, set standards, and partner closely with development, operations, finance and tech teams in a hybrid work setting.

Qualifications

• Bachelor’s degree in a quantitative field (engineering, computer science, maths, economics, OR life sciences with quantitative experience).
• Experience in financial & operational modelling, valuation, investment analysis or decision science.
• Experience translating data science insights into actionable recommendations.
• Experience defining problem statements from limited information and managing multiple priorities to deadlines.
• Experience presenting executive-level analysis and influencing decisions with data-backed recommendations.
• Proficiency with at least one language (Python or R) and exposure to data science app development frameworks (Shiny, Streamlit, Dash).

Responsibilities

• Design models, frameworks and dashboards to underpin portfolio analytics.
• Lead ad hoc strategic analyses addressing complex investment questions.
• Forecast portfolio across planning horizons and track KPIs.
• Present insights and recommendations to senior leadership with data-backed rationale.
• Mentor analysts and set analytical standards; champion responsible AI usage.

Skills

Python

R Programming

Data Visualization

Monte Carlo Modeling

Stakeholder Management

Forecasting

Data Science

Decision Sciences

Financial Modeling

Portfolio Analysis

Portfolio Governance

Problem Solving

Education

Bachelor’s degree in quantitative field

MBA or MSc or equivalent

Tools

Git

CI/CD

Containerization

Shiny

Streamlit

Dash

Job description

At GSK we unite science, technology and talent to get ahead of disease together. Deciding which R&D projects to invest in — and how to sequence, resource and prioritise them — is one of the most consequential judgements we make. The Portfolio Data Science team turns scientific, clinical, operational and financial inputs into the analysis and insight that guide those investment decisions across short-, medium- and long-range horizons.

Position Summary

Reporting to the Head, Data Science, Analytics, and AI, the Finance Portfolio Analytics Manager builds and leads the analytical capability that underpins R&D portfolio and investment decision-making. You will design the models, frameworks and dashboards the team relies on, and lead ad hoc strategic analyses that answer complex, high-stakes portfolio questions — translating scientific and clinical information into quantified investment and financial impact.

This is a senior individual-contributor role. You will not have direct reports, but you will act as the analytical lead for portfolio analytics — setting standards, guiding and mentoring analysts, and being the trusted partner senior stakeholders turn to for rigorous, decision-ready analysis.

Key Responsibilities

Analytics capability & methodology

• Design, build and own the portfolio analytics toolkit — valuation models (NPV/rNPV), scenario and sensitivity analysis, probabilistic and Monte Carlo simulation, and portfolio optimisation and prioritisation approaches.
• Establish reusable, well-documented models, templates and standards so that analyses are transparent, reproducible and auditable.
• Continuously improve forecasting methodologies, data quality, and reporting and analytics tooling.

Strategic & ad hoc analysis

• Lead ad hoc strategic analyses to address complex, ambiguous investment and portfolio questions, defining the problem statement where only limited framing exists.
• Develop, evaluate and stress-test business cases, valuations and investment scenarios.
• Translate scientific, clinical and operational inputs into quantified financial and investment impact.

Portfolio performance & forecasting

• Build and maintain portfolio forecasts across annual, multi-year and long-range planning horizons.
• Define and track portfolio metrics, milestones and KPIs; monitor performance against plan and surface variances and risks with recommended actions.
• Support investment allocation and budget phasing aligned to portfolio priorities.

Decision support & governance

• Prepare insights, materials and recommendations for portfolio and product review discussions and investment governance cycles.
• Present trade-offs, risks and financial impact to senior leadership, and influence decisions through structured, data-backed recommendations.
• Consolidate inputs from scientific, clinical, regulatory, commercial, finance and technology stakeholders into a coherent portfolio view.

Collaboration & enablement

• Partner across development, operations, finance and technology teams to align on assumptions, data and methods.
• Set analytical standards and mentor and guide analysts; champion best practice and the responsible use of Gen AI and advanced analytics to accelerate and strengthen analysis.

Basic Qualifications

• Bachelor’s degree in a quantitative field (engineering, computer science, mathematics, economics, operations research, finance ) or life sciences with specific quantitative experience.
• Demonstrated experience in financial & operational modelling, valuation, investment analysis, decision science or a related area field.
• Demonstrated expertise translating data science insights into actionable recommendations.
• Experience defining problem statements from limited initial information and managing multiple parallel priorities to agreed timelines.
• Experience preparing and presenting executive-level analysis and influencing decisions through structured communication and data-backed recommendations.
• Proficiency with least one analytical or programming language (e.g. Python or R), together with exposure to data science app development frameworks (Shiny, Streamlit, Dash etc.)

Preferred Qualifications

• Advanced degree (MBA, MSc or equivalent) in a finance, quantitative, scientific or business discipline.
• Direct exposure to drug development and R&D portfolio or investment decision-making in pharmaceutical, biotech or a related industry.
• Strong data science fundamentals with particular exposure to Monte Carlo modelling
• Experience with web app development either from a data engineering or UI perspective
• Experience with Generative AI tools and frameworks
• Experience with standard Software Development tools and practices (Git, CI/CD, Containerization etc. )

Work Arrangement

This role offers a hybrid working model, with a mix of on-site and remote work. Remote or fully home-working arrangements are not available for this role.

Closing Date for Applications – 20 September 2026 EOD

Skills

• Continuing Learning
• Data Science
• Decision Sciences
• Financial Modeling
• Financial Portfolio Management
• Financial Valuation
• Forecasting
• Influencing Without Authority
• Investment Decisions
• Investment Valuation
• Leadership
• Monte Carlo Modeling
• Net Present Value (NPV)
• Portfolio Analysis
• Portfolio Governance
• Portfolio Management
• Portfolio Prioritization
• Problem Solving
• Python (Programming Language)
• R Programming
• Scenario Analysis
• Stakeholder Management
• Statistical Methods
• Statistical Programming
• Valuation Modeling

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.

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 should your enquiry not relate to adjustments, we will not be able to support you through these channels.

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