Product Line Lead, Clinical & Agentic AI
About The Position
AstraZeneca’s AI Strategy & Innovation (AISI) builds and delivers AI models and agents across discovery, translational science, biomarkers and clinical development. The Product Line Lead, Clinical & Agentic AI will own the product line that advances agentic AI products from proof of concept to GxP-validated use, and set the direction of the agentic AI platform layer supporting them. The initial focus includes automating site-monitoring reports and clinical data review for clinical research associates (CRAs). The role leads product ownership across the line, including the product owner for the CRA agent. It sets priorities, lifecycle gates and decision rights between product and engineering, ensuring products account for data access, human oversight and validation evidence required in regulated clinical settings. It also guides the evolution of the R&D agentic platform and determines which use cases require a purpose-built, governed platform because they involve patient data. The Product Line Lead works with clinical development and operations leaders, AI scientists and engineers, R&D IT, Enterprise AI platform teams, Quality and external delivery partners. Responsibilities span product strategy and portfolio management, product owner leadership, clinical agent development, platform direction, governance and compliance, financial and vendor stewardship, and cross-functional collaboration.
Requirements
- At least a Master’s degree or PhD in life sciences, data science, computer science, engineering or a related field; an advanced degree is desirable.
- At least 10 years of product management or product leadership experience, including leading other product owners or managers.
- Experience in pharmaceutical, biotechnology or another regulated healthcare technology setting.
- Track record of taking a product from proof of concept to validated production use in a regulated environment.
- Working knowledge of clinical development or clinical operations processes, such as site monitoring and clinical data review.
- Familiarity with agentic and LLM-based products and with evaluating their quality and risk.
- Understanding of GxP computerised system validation and data privacy requirements.
- Experience managing budgets and outsourced delivery partners.
- Proven ability to make and communicate prioritisation decisions across senior stakeholders.
Nice To Haves
- Experience with clinical systems such as EDC and CTMS.
- Experience with platform product management and build, buy or adopt decisions.
- Working knowledge of Atlassian tools, including JIRA and Confluence.
Responsibilities
- Define and own the clinical and agentic AI product line strategy, roadmap and success measures, aligned with AISI outcomes and its multi-year plan.
- Decide which products to start, scale, merge or stop using lifecycle gates and evidence of value.
- Define and maintain decision rights between product and engineering, and ensure those rights are followed in practice.
- Maintain a current view of the portfolio, funding, cost and risk, and report it to AISI leadership.
- Direct and develop product owners, starting with the CRA agent product owner; ensure every product has an accountable owner, roadmap, backlog and value case.
- Work with engineering leaders and external delivery partners to clear blockers involving data access, environments and integration dependencies.
- Establish the operating rhythm for planning, reviews and stage gates as delivery scales.
- Own the CRA agent’s progression from proof of concept through silent pilot to GxP-validated release, including sign-off from business owners across therapeutic and operational areas.
- Translate clinical operations needs into product requirements and measurable outcomes, including monitoring effort saved and trial capacity gained.
- Make human-in-the-loop design, auditability and validation planning requirements from the first release.
- Set product direction for the R&D agentic platform layer and recommend which platforms to build, buy, adopt or retire.
- Define and defend the boundary between patient-data and regulated use cases requiring a governed, purpose-built platform and use cases suitable for enterprise assistants.
- Lead platform transition planning and user communications with Enterprise AI and IT partners.
- Work with Quality, Compliance and Data Privacy to meet GxP computerised system validation, data privacy and AI governance requirements.
- Own the product line risk register and raise issues early, including security findings and control gaps.
- Support audit and inspection readiness for the line’s products and processes.
- Keep costs visible across headcount, contractors, cloud compute and model usage, and contribute to planning cycles.
- Manage vendors and outsourced delivery partners to agreed scope, quality and cost.
- Build relationships with clinical development and operations leaders, AISI science teams, Enterprise AI and R&D IT.
- Communicate readiness, trade-offs and uncertainty clearly so leaders can make decisions.
Benefits
- Eligibility for short-term incentive bonuses.
- Equity-based awards for salaried roles.
- Qualified retirement programs.
- Paid time off, including vacation, holidays and leaves.
- Health coverage.
- Dental coverage.
- Vision coverage.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
