Senior Director, Data Product Centre of Excellence

Senior Director Data Product Centre of Excellence

Were building a connected end-to-end Enterprise AI engine - uniting data foundations AI technology process reinvention and business-facing AI to accelerate results across the whole value chain. Success depends on being outstanding connectors: youll actively harness existing capabilities celebrate and promote reuse export breakthrough ideas across geographies and functions and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn sophisticated cross-functional problems into reusable enterprise-wide capabilities - and where the measure of success is adoption and scale not just innovation - youll have the platform (and sponsorship) to make it real!

Introduction to role

The Senior Director Data Product Centre of Excellence provides enterprise leadership for defining and scaling AI-ready data product standard methodology across AstraZeneca. The role ensures data products are built managed and retired through a consistent domain-aligned operating model that improves speed quality compliance discoverability and value realisation. By establishing the enterprise playbook standards and production experience for data products this role enables teams across the organisation to create sustainable high-quality data assets that reliably power priority analytics and AI use cases. The role also drives alignment between data product strategy enterprise data capabilities and the broader AI roadmap strengthening adoption across AstraZenecas federated community of data owners stewards and builders. Ready to shape how data products fuel the next wave of AI

Accountabilities

Lead the enterprise strategy for the Data Product Centre of Excellence setting a clear vision operating model and roadmap for AI-ready compliant and reusable data products that support critical business and AI priorities.

Define own and continuously refine the enterprise playbook standards and toolkit for building governing and managing data products across their full lifecycle ensuring consistency efficiency quality and responsible use at scale.

Reimagine how AI-ready data products are built by driving automation fostering agentic AI approaches embedding compliance through code and introducing new methods that accelerate delivery while maintaining control.

Provide product management leadership for enabling data capabilities platforms and tooling so they operate as a single connected toolkit for effective build deployment maintenance and consumption of data products.

Drive adoption of standard methodology across AstraZenecas federated data community by influencing senior collaborators connecting domains and functions and embedding a sustainable culture of high-quality data product delivery.

Lead enterprise oversight of data product quality and readiness through robust frameworks for health performance and adoption tracking and direct targeted remediation where improvement is required.

Oversee portfolio planning and prioritisation for data products aligning investments to enterprise business needs domain strategies and the AI roadmap to maximise value realisation.

Act as product owner for selected enterprise and cross-SET data products including strategic assets where central leadership is needed to accelerate value delivery and unlock new AI and analytics opportunities.

Essential Skills/Experience

Leadership experience in data product management data governance data management or enterprise data strategy ideally within a sophisticated global and regulated environment.
Proven track record to define enterprise standards operating models and playbooks that improve consistency quality lifecycle management and value realisation for data products.
Strong experience leading cross-functional product data and technology initiatives including prioritisation roadmap development and alignment to strategic business and AI objectives.
Deep understanding of AI-ready data requirements including quality compliance discoverability sustainability lifecycle management and fitness for use. A rich portfolio of examples of using this to deliver profitable use cases.
Demonstrated success influencing senior partners across federated organisations and driving adoption of best standard methodology change leadership communication and teamwork.
Innovates experiments and brings external perspectives with a track record of applying innovative technologies and approaches to increase speed quality and compliance if data.
Knowledge of regulated data environments and relevant policy expectations including privacy security risk and compliance considerations applicable to enterprise data products.

Desirable Skills/Experience

Experience building or leading a centre of excellence focused on data products or AI-ready data capabilities in a large-scale organisation.

When we put unexpected teams in the same room we unleash ambitious thinking with the power to
inspire life-changing -person working gives us the platform we need to connect work at pace and challengeperceptions. Thats why we work on average a minimum of three days per week from the office. But thatdoesnt mean were not flexible. We balance the expectation of being in the office while respecting individualflexibility.

Join us in our unique and ambitious world!

AstraZeneca offers an energising environment where digital data and science come together to tackle some of the worlds most serious diseases. Work with hard-working colleagues who share ideas openly experiment with new technologies and learn from each other through continuous feedback. Expect access to innovative development experiences that support upskilling and reskilling over the long term. Here there is real scope to build an exciting career while shaping how sophisticated analytics and AI transform patient outcomes worldwide.

If this opportunity excites you and matches your experience apply now to help define the future of AI-ready data products at AstraZeneca!

#EAI

Date Posted

Closing Date