Director, AI Product Development - astrazeneca

OpenTalent

Wilmington (DE)

On-site

USD 180,000 - 230,000

Full time

14 days+
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Job summary

AstraZeneca is seeking a Director of AI Product Development to own the end-to-end lifecycle of AI-powered applications impacting field and headquarters teams. You will lead GenAI-enabled product initiatives, define roadmaps, and drive adoption across commercial, medical, and patient programs.

The role requires collaboration with Marketing, IT, and data science teams, delivering scalable, governable solutions with measurable business impact.

Responsibilities

  • Own the full AI product lifecycle: problem definition, customer research, AI development, UX design, deployment, adoption and measurement.
  • Lead GenAI and agentic AI product development; define requirements for AI-powered applications and ML-driven tools for medical, commercial, and field teams.
  • Translate business questions into product requirements; partner with Marketing, Medical Affairs, GIBEX, Field Operations, and IT to align capabilities with brand objectives and launch timelines.
  • Collaborate with technical delivery leads, engineering and data science to translate requirements into scalable, governed solutions; establish clear RACI and priorities.
  • Drive adoption and impact measurement; define success criteria, track usage and output quality, report results to leadership with clarity.
  • Operate within enterprise AI governance; navigate compliance, data access controls, vendor management, and IT approval processes with thorough documentation.

Job description

Make a greater impact on lives through a digitally enabled enterprise.

We are working towards our aspiration of shaping the future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introduce new approaches that put Digital at AstraZeneca’s heart.

Be part of a chapter that’s still being written. Trusted and empowered to change the way things are done, with the tools and support to get you there. Here we are free to unleash our curiosity and turn thinking into reality where smart risks and quick decisions come together to power disruption and innovation.

Office Locations: This is an on-site, office-based role. Please consider the following AZ US HUB locations – Wilmington, DE

This is a product leadership role: you will own the end-to-end lifecycle of AI-powered applications that go into the hands of field and headquarters teams, driving decisions that affect patients and brands at scale.

The Role:

The Director, AI Product Development is part of the AI for Commercial (AIC) team within the newly founded Enterprise AI organization . You will lead the design, build, launch, and adoption of GenAI and ML-powered products that serve Global and US functions including commercial, medical, market access, an d patient programs . You define the roadmap, drive cross-functional execution, and are accountable for measured business impact.

Key Responsibilities

Own the full AI product lifecycle: from problem definition and customer research through AI development, UX design, deployment, adoption, and measurement. This means shipping products, not delivering reports.

Lead GenAI and agentic AI product development. Define product requirements and functional specifications for AI-powered applications, agentic workflows, and ML-driven tools serving medical, commercial, and field teams.

Translate business questions into product requirements. Partner with Marketing, Medical Affairs, GIBEX , Field Operations, and IT to align product capabilities with brand objectives , field workflows, and launch timelines.

Partner with technical delivery leads, engineering, and data science teams to translate requirements into scalable and governed solutions, ensure high-quality, timely execution. Establish clear RACI, maintain alignment on priorities, and drive accountability across a cross-functional delivery model.

Drive adoption and impact measurement. Define success criteria before launch ; track usage, output quality, and downstream business impact post-launch. Communicate results to leadership with clarity.

Operate within enterprise AI governance. Navigate compliance requirements, data access controls, vendor management, and IT approval processes. Ensure all products are deployed responsibly and with appropriate documentation .

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