Senior Director, R&D Enterprise Data (ArchitectureInformation)

Join AstraZenecas Enterprise Data Office (EDO) as the Senior Director R&D Enterprise Data (Architecture/Information). In this strategic leadership role you will define the vision operating model and standards for enterprise information architecture across R&D and the wider AstraZeneca enterprise. You will set direction for ontologies semantic models and knowledge graphs that enable AI-ready data FAIR principles and interoperable data productspowering discovery development and delivery. Partnering with R&D IT and business leaders you will influence investment decisions establish governance and drive adoption of data-centric architecture at enterprise scale.

You will collaborate across Heads of IT Business Partners Enterprise and Solution Architecture Data Offices (R&D & EDO) and R&D functions to embed enterprise information architecture into strategy roadmaps and value realization.

Accountabilities

• Enterprise information strategy: Define and own the R&D enterprise information architecture strategy standards and policiescovering ontologies semantic modeling knowledge graphs metadata and canonical modelsto enable AI-ready FAIR and interoperable data.
• Ontology leadership: Set enterprise direction for ontology strategy (domain ontologies taxonomies vocabularies) guiding how R&D knowledge is represented and connected across platforms and products.
• Semantic and graph vision: Establish the strategic approach for semantic layers and graph-based knowledge representation ensuring knowledge graphs underpin analytics decisioning and AI/ML use cases.
• FAIR TRUST and Data Mesh alignment: Champion FAIR/TRUST data and align information architecture with the Data Mesh operating model defining standards for data products discoverability and interoperability.
• Master and reference data governance: Shape and govern master and reference data strategies ensuring R&D requirements are embedded in enterprise models stewardship and quality frameworks.
• Policy compliance and risk: Oversee policies for ethical compliant and secure data use (including privacy and GxP considerations) integrating information architecture with data governance and risk management.
• Architectural standards and adoption: Set reference architectures and design patterns for data platforms and integrations across hybrid cloud; drive adoption through executive sponsorship funding models and accountability.
• Stakeholder influence and value: Partner with senior R&D leaders across IT and the Data Office to prioritize investments and measure outcomes linking information architecture to scientific acceleration operational excellence and patient impact.
• Leadership and talent development: Lead and develop a high-performing team of information architecture leaders; foster a culture of strategic thinking collaboration and delivery excellence.

Essential skills/experience

• Strategic thought leadership: Demonstrated success leading enterprise-scale information/data architecture strategy and governance in complex global organizations.
• Pharma R&D domain knowledge: Experience engaging across R&D lifecycle domains (e.g. discovery translational science clinical development safety regulatory real-world evidence) at a strategic level.
• FAIR TRUST and Data Mesh leadership: Expertise driving adoption of FAIR principles and aligning information architecture with Data Mesh concepts and data product governance.
• Master/reference data governance: Leadership embedding R&D needs into enterprise master and reference data strategies stewardship and operating models.
• Regulatory and governance: Strong understanding of information/data governance frameworks and regulatory environments (e.g. GxP privacy data ethics) with experience integrating policy into architecture practice.
• Influence and executive communication: Ability to engage C-suite and senior scientific leaders set clear direction secure investment and demonstrate value through outcomes and metrics.
• Team leadership: Track record building and mentoring senior architecture talent and leading cross-functional teams; skilled in org design and change management.
• Education: Bachelors degree (or equivalent experience) in Computer Science Information Systems Data Management or related field.

Desirable skills

• Advanced degree: Post-graduate degree in MIS Data Management Knowledge Engineering or related domain.
• Ontology and semantics oversight: Executive-level experience setting direction for ontologies semantic modeling and knowledge representation; familiarity with how knowledge graphs enable enterprise insight and AI.
• AI-ready data strategy: Proven ability to establish standards and operating models that make data AI-ready (semantic consistency metadata lineage quality interoperability).
• Enterprise methods: Familiarity with enterprise architecture and data management frameworks (e.g. TOGAF DAMA-DMBOK SAFe) and model-driven approaches.
• Enterprise delivery experience: Experience overseeing large-scale information architecture programs that have delivered measurable business outcomes.

Why AstraZeneca

• Shape science with data: Architect how data and knowledge accelerate medicinesyour strategy will unify R&D knowledge and unlock AI-driven insights.
• Lead semantic transformation: Set the enterprise direction for ontologies semantic modeling and knowledge graphs to create an AI-ready FAIR/TRUST data ecosystem.
• Executive impact: Operate at enterprise scale with strong sponsorship and visibility; influence investment and outcomes across global R&D.
• Collaborative environment: Partner with world-class scientists engineers and product leaders committed to transforming data into life-changing medicines.

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.

The annual base pay for this position ranges from $178705 to $268058. Base pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and addition our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program. Benefits offered included a qualified retirement program 401(k) plan; paid vacation and holidays; paid leaves; and health benefits including medical prescription drug dental and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired employee will be in an at-will position and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.

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