Product Director, Pattern & AI Driven Automation

Fixed Term Contract – 18 Months.

Purpose & Key Responsibilities

• Work with business analysts to understand end-to-end scope and business and user requirements.
• Define the to-be process, including where human-in-the-loop steps are required.
• Design for radical change and make the process automation-ready, rather than digitising today’s process as-is.
• Build toward progressively adding intelligence so that decision‑making is automated, not only task execution.
• Work with business subject‑matter experts to challenge current limitations and design choices: distinguishing genuine legal/compliance constraints from workarounds and deciding what belongs in the future state.
• Align delivery to the multi‑year strategic vision for increasingly mature automation of both tasks and decision‑making.

Automation Engineering (Delivery)

• Carry business and user requirements into engineering so solutions are built correctly and consistently within the common architecture.
• Represent the business and end user in day‑to‑day engineering conversations.
• Shape the delivery roadmap with vendors and internal resource and align it with other workstreams and partner programmes.
• Manage resource and performance; oversee testing, validation and acceptance criteria; and prepare each automation for launch.

Cross‑Workstream Partnership

• Partner with the supporting capability workstreams (e.g. component management, intelligence/decisioning, and content or object generation) as capability providers.
• Maintain delivery alignment and consistent ways of working to catch blockers and missed dependencies and align roadmaps for programme increment and sprint planning.

Basic Qualifications & Experience

• Bachelor’s degree or equivalent in a scientific or quantitative discipline (e.g. computer science, engineering, mathematics, life sciences).
• Significant experience in product management strategy and product transformation in complex matrixed organisations, including hands‑on delivery of AI, agentic, or automation products.
• A track record of owning products or major delivery initiatives end‑to‑end, working directly with engineering teams to ship them.
• Experience in the life sciences industry, ideally within R&D or a related scientific domain.

Professional Capabilities

• Product Ownership and Delivery: Proven track record owning digital, automation, or platform products across the full lifecycle, including AI or agent‑based automations. Translate business and user requirements into a build engineering can execute, own the delivery roadmap with internal teams and vendors and stay accountable from requirements through testing, validation and launch. Design for the future‑state process and push toward genuine automation rather than digitising the manual process as‑is, and work fluently in agile and scrum ways of working.
• AI, Agents and Automation: Direct experience delivering AI and automation solutions, ideally including agentic systems that automate decision‑making, not only task execution. Understand where large language models, agents and automation genuinely fit, where a human‑in‑the‑loop step is required and where an idea over‑promises. Hold credible conversations with engineering on model and agent capabilities, evaluation, and the architecture needed to build automations that mature over time.
• Executive Influence Without Authority: Demonstrated track record of building trusted partnerships with senior executives (VP/SVP level) and driving outcomes across a matrixed organisation where you don’t own the resources. Bring people along, secure buy‑in and turn alignment into action.
• Systems Thinking and Operating Model Design: See organisations as systems: how decisions get made, how work flows and where it gets stuck. Design governance structures, operating models, or ways of working that have held up at scale. Comfortable with the org chart as well as the strategy deck.
• Strategic Problem‑Solving in Ambiguity: Take a vague objective from a leadership team (“we need to figure out X”) and turn it into a structured initiative with a clear problem statement, hypothesis and path to a recommendation. Move fluently between strategic altitude and operational detail without losing either.
• Narrative and Communication: Translate complex, cross‑cutting work into a clear, compelling story for executive and cross‑functional audiences. Know which KPIs matter, how to frame progress honestly and make a portfolio of product and process work feel like one coherent direction of travel.
• Domain Fluency: Direct experience in Pharmaceutical R&D, clinical development, or an adjacent scientific domain. Understand core challenges and opportunities in bringing a medicine to market and engage credibly with both scientific and technology leaders.

Key Skills

• Agile Methodology, Cross‑Functional Teamwork, Data Analysis, Design Thinking, DevOps, Prioritization, Product Development Research, Product Roadmapping, Project Management, ROI, Software Development, Strategy Deployment, UX, UI Design

Working pattern – Hybrid

This role is based in our Central London HQ, UK. The role operates on a hybrid working model, with 2/3 days a week on‑site expected. Remote‑only arrangements are not available.

Closing Date

COP 31st July 2026

How To Apply

If you are motivated by building AI‑driven products that improve how scientific and regulatory content is created and used, we would love to hear from you. Please apply and tell us how your experience will help us move faster and deliver clear value. We welcome applicants from all backgrounds and experiences.

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.

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