Director, Data Product Strategy & Integration

AstraZeneca is looking to hire a Director, Data Product Strategy & Integration as part of our Commercial Transformation. This role sits with the Data Management & Operations team within Strategic Field Operations (SFO) under broader Innovation and Business Excellence Umbrella. This role is responsible for accelerating commercial value through data innovation reinforcing the value of data as a competitive asset critical to enabling Commercial decision making.

The primary responsibility is to lead the strategic definition and delivery of high-impact data products and services that fundamentally transform our commercial model. This role converts executive business priorities into a scalable data product roadmap, establishes modern, AI-enabled information architecture and governance, and ensures data design drives superior field execution, omnichannel engagement, and demonstrable revenue growth.

This position is based in Wilmington, DE

Key Accountabilities

Business-Led Data Strategy & Product Ownership.  Translate the most critical commercial needs (Sales, Marketing, Market Access, Medical) into a prioritized, domain-centric data product roadmap. Define clear acceptance criteria and measurable business outcomes (e.g., revenue lift, speed-to-value).

Transformation Roadmap & Narrative.  Define the strategic 'from-to' vision for commercial data utilization. Steward the multi-horizon transformation roadmap, ensuring alignment of resources, sequencing of MVPs, and focusing all stakeholders on quantifiable business value delivered over mere activity.

Modern Information Governance & AI/Agentic Controls.  Architect and enforce enterprise taxonomy, master data, and decision rights across structured and unstructured information. Implement innovative, automated (AI/Agentic) policy controls for data quality, compliance, auditability, and process efficiency.

Integrated Commercial Data Architecture.  Unify and govern the data design across our core commercial platforms (CRM, MDM, Martech/Digital Core, Data Lake). Ensure data is Findable, Accessible, Interoperable, and Reusable (FAIR) to maximize use-case velocity and model readiness across all commercial domains.

CRM & Omnichannel Data Integration.  Partner directly with CRM and Digital leadership to embed data product capabilities that visibly improve the usability and adoption of customer-facing platforms, directly enhancing field workflows and accelerating omnichannel execution.

Education, Qualifications, Skills and Experience:

Bachelor’s Degree in the relevant Field. Master’s degree preferred.

10+ years in Data/MDM/CRM product management and/or commercial data strategy within life sciences or regulated industries; proven record delivering enterprise data products that improve CRM/omnichannel performance.

Expertise in information architecture, taxonomy/master data, and content governance across structured & unstructured sources.

Demonstrated success leading cross‑functional roadmaps from concept to scale; operationalizing governance and process innovation (including agentic/AI controls).

Familiarity with Salesforce/Veeva ecosystems, martech, and data platforms; experience partnering on a customer‑facing CRM roadmap.

Strong Communication (oral/written) & Interpersonal skills

Demonstrated experience partnering with and influencing across diverse and senior commercial leaders

Demonstrated experience in working with others to achieve organizational objectives including the ability to anticipate and adapt, own and or/work group tactics to support changing business needs

Date Posted

19-Aug-2026

Closing Date

06-Sep-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.