Senior Director, AI-Ready Data Preparation

Senior Director AI-Ready Data Preparation

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

This role leads the enterprise capability that prepares processes and provisions AI-ready data at scale using approved standards tooling and guidelines. The team builds and operates next generation data preparation integration orchestration transfer and obfuscation capabilities driving increasing automation and self service for data consumers. The Senior Director also delivers and owns priority enterprise data products demonstrating how to apply enterprise patterns end to end to accelerate time to insight for AI/ML and analytics through compliant reliable and efficient pipelines. Ready to develop how AI-ready data is composed and consumed across a global organisation

Accountabilities

Lead the strategy and execution for AI-ready data preparation across high priority AI use cases shifting from custom solutions to reusable self-serviceable data products with growing automation. Build own and operate high value enterprise data products for AI/ML and analytics applying enterprise schemas lineage models SLAs/SLOs data contracts and quality rules that drive trust and adoption. Implement DataOps practices and AI-driven automation that streamline ingestion transformation testing and deployment while enabling self-serve discovery access and provisioning on approved enterprise platforms. Design and run robust end-to-end data pipelines (ingest/store prepare provision) with scalable orchestration metadata-driven processing performance tuning and cost optimisation on sanctioned cloud platforms. Apply enterprise security controls and approved obfuscation patterns such as masking tokenisation and anonymisation to enable safe AI experimentation and compliant data transfer at scale. Build and maintain exemplar implementations and reusable components that showcase approved ways of working for data storage preparation provisioning integration orchestration transfer and obfuscation. Lead and grow high performing engineering teams across onshore and offshore locations manage suppliers effectively and ensure on time high quality delivery using enterprise tooling and delivery frameworks. Evaluate and pilot emerging capabilities within enterprise guardrails make clear buy versus configure recommendations and generate evidence of value and adoption to scale successful patterns. How will you push the boundaries of what AI-ready data can do here

Essential Skills/Experience

Extensive data engineering leadership with a track record delivering production grade data products and platforms supporting AI/ML and analytics.
Data product and DataOps expertise: Hands on proficiency with data product contracts lineage quality SLAs CI/CD for data automated testing and metadata driven pipelines that enable self service.
Integration orchestration and storage: Deep experience with batch/streaming integration workflow orchestration and scalable storage/processing on modern cloud data platforms including performance and cost optimisation.
Security and obfuscation: Practical application of enterprise security controls secure data transfer and approved obfuscation techniques in regulated environments.
Architecture and design patterns: Strong command of applying enterprise data/application design patterns and microservices/event driven approaches using sanctioned tools and reference implementations.
Able to move at pace and lead and inspire technical team whilst working within a rapid evolving often ambiguous business context.
Innovates experiments and brings external perspectives with a track record of applying innovative technologies and approaches to increase speed quality and compliance if data.
Partner and vendor management: Ability to influence senior collaborators manage partner ecosystems and build high performing teams; clear communication of value outcomes and adoption metrics.

Desirable Skills/Experience

Experience leading large-scale AI/ML or analytics transformation programmes in sophisticated global organisations. Background in building or operating shared enterprise data platforms or internal data marketplaces. Familiarity with regulated industries such as life sciences healthcare or financial services. Proven track record to translate strategic business priorities into actionable roadmaps for AI-ready data capabilities. Track record of nurturing engineering excellence through coaching standards and communities of practice.

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

Join us in our unique and ambitious world!

AstraZeneca offers an environment where innovation in digital data and AI directly connects to transforming patient outcomes worldwide. Curiosity is encouraged diverse perspectives are welcomed and teams collaborate across subject areas to solve sophisticated scientific and technical challenges with real urgency. With strong investment in technology learning and development alongside a culture that values experimentation and smart risk-taking this is a place to shape the future of healthcare while building a long-term career with impact.

If this role matches your experience and ambition apply now to help redefine how AI-ready data powers the next wave of life-changing medicines.

#EAI

Date Posted

Closing Date