Product Line Lead, Clinical & Agentic AI
About The Position
AstraZeneca's AISI AI Strategy & Innovation (AISI) is responsible for building, buying and delivering AI models and agents across R&D. The Product Line Lead, Clinical & Agentic AI will own the product line taking agentic AI products from proof of concept to GxP-validated use, and set direction for the supporting agentic AI platform layer. The role includes product ownership across the line, including the clinical research associate (CRA) agent, and establishing priorities, lifecycle gates and decision rights between product and engineering. Products must be designed from the outset with appropriate data access, human oversight and validation evidence for regulated clinical settings. The role will guide the evolution of the platform layer as enterprise AI assistants take on more agentic work, determining which use cases require a purpose-built, governed platform due to patient data. The Product Line Lead will work with clinical development and operations leaders, AI scientists and engineers, R&D IT, Enterprise AI platform teams, Quality and external delivery partners. The position calls for decisiveness, comfort with ambiguity, and credibility with clinical and engineering audiences. The position pays an annual base salary of $181,570.40 to $272,355.60 USD. The role is eligible for short-term incentive bonuses and equity-based awards for salaried roles. Benefits include qualified retirement programs, paid time off (including vacation, holidays and leaves), and health, dental and vision coverage, subject to applicable plan terms.
Requirements
- At least a Master's degree or PhD in life sciences, data science, computer science, engineering or a related field.
- At least 10 years of experience in product management or product leadership, including leading other product owners or managers.
- Experience in pharmaceutical, biotechnology or other regulated healthcare technology settings.
- 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 how to evaluate 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
- An advanced degree is desirable.
- 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 product and engineering decision rights, with product determining what and why and engineering determining how.
- Maintain a current view of the portfolio, funding, cost and risk, and report it to AISI leadership.
- Direct and develop product owners, beginning with the CRA agent product owner.
- Ensure each product has an accountable owner, roadmap, backlog and value case.
- Work with engineering leaders and external delivery partners to resolve blockers, including data access, environments and integration dependencies.
- Establish planning, review and stage-gate operating rhythms as the product line grows.
- Lead the CRA agent from proof of concept through silent pilot to GxP-validated release, including business-owner sign-off across therapeutic and operational areas.
- Translate clinical operations needs into product requirements and measurable outcomes, such as monitoring effort saved and trial capacity gained.
- Make human-in-the-loop design, auditability and validation planning product requirements from the first release.
- Set product direction for the R&D agentic platform layer and recommend whether platforms should be built, bought, adopted or retired.
- Define and defend boundaries for patient data and regulated use, determining which use cases need a governed, purpose-built platform and which can use enterprise assistants.
- Lead transition plans and user communications when platforms change, in partnership with Enterprise AI and IT.
- 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 product line's products and processes.
- Track costs 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
- Qualified retirement programs
- Paid time off, including vacation, holidays and leaves
- Health coverage
- Dental coverage
- Vision coverage
- Eligibility for short-term incentive bonuses
- Equity-based awards for salaried roles
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What This Job Offers
Job Type
Full-time
Career Level
Senior
