Product Director, DevOps & CMO
Job in
Stevenage, Hertfordshire, SG1, England, UK
Listed on 2026-10-09
Listing for:
GSK
Full Time
position Listed on 2026-10-09
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
Job Description & How to Apply Below
It brings together AI-driven analytics, statistical models and operational workflows to give development teams real-time insight into study and portfolio performance. Its capabilities span site selection optimisation, enrolment forecasting and modelling, risk detection and mitigation, and performance monitoring across studies and countries. Mission Control is delivered on a bi-weekly release cadence against a modular, microservices-based architecture, integrated with GSK's enterprise data hubs and development platforms.
We are seeking an experienced Senior Product Owner / Product Director to take end-to-end ownership of the technology delivery of Mission Control. This is a role for someone who wants to own a product rather than administer a backlog — setting technical direction, building and leading AI applications rather than merely consuming them, holding a multi-vendor delivery ecosystem to account, and working shoulder to shoulder with the Business Rep in Dev Ops Platform & Innovation to turn development operations problems into working, compliant, high-quality software.
This is a fast-moving, ultra-Agile environment. Direction is set from evidence rather than from annual plans, scope is reshaped mid-flight as learning emerges, and the pace of AI innovation means the roadmap is genuinely provisional. We are looking for someone who finds that energising rather than uncomfortable.
Key Responsibilities Product Ownership & Technical Delivery Strategy Act as the accountable product owner for the Mission Control platform, owning the technology roadmap, backlog and release plan end to end from concept through to production.
Translate the business product vision — set jointly with the Business Rep in Dev Ops Platform & Innovation — into a technical roadmap, epics, features and well-formed acceptance criteria.
Prioritise the backlog against business value, technical risk, dependency and compliance constraints, and communicate prioritisation decisions transparently to stakeholders.
Own and protect the bi-weekly release cadence, including release scope, go/no-go decisions and post-release review.
Ensure alignment with GSK R&D Digital & Tech architecture standards, engineering practices and enterprise tooling.
AI Applications, Innovation & Model Integration Lead the development of AI applications end to end — from problem framing and experimentation through to productionisation, adoption and measured business value — rather than only integrating models built elsewhere.
Own the technical integration of AI/ML and statistical models into Mission Control: enrolment forecasting, site selection optimisation, risk detection and performance prediction.
Partner with data science, biostatistics and Data & AI engineering teams to define model interfaces, data contracts, acceptance thresholds, monitoring and retraining triggers.
Drive an active innovation pipeline — identify emerging AI capabilities, run time-boxed experiments, kill what does not work quickly, and scale what does.
Explore and apply agentic AI patterns and intelligent workflow automation where they create real value, with a clear-eyed view of their governance implications.
Ensure AI-driven features are explainable, monitored in production, and…
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