Staff (Director), Commercial Enterprise Product Mgmt. - E2E Marketing Enablement

Forward deployed teams are most powerful when paired with sharp opportunity selection. Enterprise AI has no separate strategy layer: the AI Product Manager sets the forward deployed strategy, and the pod executes it. This role closes that gap at this level by ensuring the engineers we deploy are working on the right things. In this role you will be the person who:

• Owns a clear domain or capability area within the Enterprise AI opportunity portfolio.
• Identifies, sizes, and shapes the highest-value AI opportunities in that domain.
• Partners daily with forward deployed, full-stack, and data engineering leads to scope and steer engagements end-to-end.
• Builds the business and executive alignment the pod needs to land and scale.

This is not a traditional enterprise product role managing a source system's roadmap, releases, and backlog. As an AI Product Manager in Enterprise AI, you:

• Build new AI products from ambiguous, unsolved business problems rather than evolving an established platform.
• Work with probabilistic systems - defining evaluations, acceptable error, and human oversight instead of fixed functional requirements.
• Help lead a bionic pod, deciding which work goes to engineers and which to digital workers, and how they hand off.
• Prototype hands on and are measured on business outcomes, not features shipped or system uptime.

• Reporting line: VP, Commercial AI/ML Transformation
• Position level: Director
• Team management: N/A
• Primary location: London New Oxford Street (UK)
• Secondary locations: Philadelphia (PA, US), Boston (MA, US), Durham (NC, US)
• Working model / presence onsite requirement: Hybrid
• Business travel: 25% travel between the UK, USA, and India
• Relocation support provided: Yes
• Application end date: Sunday, November 8, 2026 EOD GMT

• 10+ years of progressive experience spanning some combination of pharma/life sciences, AI/ML product strategy, and senior product management or strategy roles in technology-led organisations.
• Demonstrated track record of identifying, scoping, prototyping, and shepherding high-value technology or AI initiatives from problem framing through funding into delivery.
• Strong working knowledge of pharma or other regulated industry marketing enablement - particularly how content supply chain, marketing automation, and the HCP-facing experience layer operate end-to-end: content assembly, campaign management, channel activation, and performance measurement - and the data, decisions, and constraints inside them.
• Solid technical fluency in modern AI/ML - LLMs, agentic systems, and digital workers, ML lifecycle, data and evaluation patterns - sufficient to leverage evidence from rapid prototyping to challenge engineers, scope realistically, and avoid hype-driven choices.
• Experience operating as a senior individual contributor - leading through influence, frameworks, and quality of thinking rather than headcount.
• A product management or product-strategy heritage: discovery, opportunity sizing, roadmap shaping, prototyping, and stakeholder alignment - ideally on products whose core behaviour is AI rather than conventional software.

Required Domain Experience

• Experience in building workflows for creative asset development and content submission workflows, including MLR/MAC readiness, to enable timely deployment across channels.
• Working knowledge of content lifecycle integrity and traceability - ensuring derivative content stays linked to its approved source throughout its lifecycle.
• Experience with omnichannel campaign execution and the performance measurement practices used to track channel and content effectiveness.

• You think in terms of value, not activity.
• You convert ambiguity into clarity engineers and digital workers can act on.
• You bias toward small, rapid prototyping, sharp documents and decisions over slideware and process.
• You hold strong views, loosely held, and welcome being proven wrong by data.
• You take the long view on patient impact while caring deeply about shipping things this quarter.

In the first 12 months, the person in this role will have:

• Built a healthy opportunity pipeline in your domain that the FDE leads actively use to plan deployments.
• Helped shape at least two flagship engagements with quantified, defensible value cases.
• Become the trusted go-to strategic partner for engineering and senior business leadership in your domain.
• Set the forward deployed strategy for at least one bionic pod, with digital workers carrying measurable production workload under clear human oversight.
• Improved hit-rate - a measurable shift in how often engagements in your domain deliver on the outcomes they set out to achieve.

Enterprise AI is GSK's centre of gravity for applied artificial intelligence. We pair forward deployed, full-stack, and data engineers - working alongside digital workers in bionic pods - with scientific, clinical, and business teams across every major group at GSK to build AI products that get used - not pilots that get archived. We work fast, ship in production, and measure ourselves on outcomes that matter to patients. GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together. We are committed to building a diverse and inclusive team - we welcome candidates from all backgrounds and underrepresented groups in technology, science, and pharma.

#LI-GSK

Skills

AI Platforms, Change Management, Data Analysis, Feature Prioritization, Machine Learning Model Management, ML Platforms, Model Evaluation, Performance Analysis, Product Delivery, Product Design, Product Lifecycle Management (PLM), Product Roadmapping, Roadmap Development, Statistical Analysis, User Needs Analysis

• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $171,600 to $286,000. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.