Associate Director, Portfolio and Technology Enablement

The Medical Evidence Delivery Operations– a part ofEvidence GenerationToPublications (EG2P)within the Oncology Business Unit (OBU) is responsible for the operational delivery of observational and interventional AstraZeneca sponsored studies (AZ studies), externally sponsored research (ESR) and early access programs (EAP) in order to generate the evidence to build confidence in and provide access to AstraZeneca therapies for patients in need.

The Associate Director,Portfolio & Technology Enablementindependently leads core EDT products within the PPO portfolio (e.g., One Cockpit & OMED datasets, Power Platform & Intelligent Automations, or AI Operations). This role owns product strategy and delivery end-to-end, translating the team’s vision into measurable outcomes through an AI-ready data foundation, advanced analytics, and scaled intelligent automation.Therolealso identifiesprocess improvements and drives the implementation of solutions to enhance efficiency, data quality, and time-to-insight. The ADPTEoperatesindependentlywithin the scope of thePortfolio& Technology EnablementTeam, ensuring strong alignment to EDT’s strategicobjectiveswhile driving cross-enterprise collaboration withAZAI governance, architecture, data platform,ITand security teams.

• Data Strategy Alignment:Responsiblefor creation andexecutionofthe analytics roadmap for the assigned product, aligning initiatives to EDT business outcomes; define product-level OKRs, value metrics, and adoption targets to improve portfolio execution, cycle-time, quality, and compliance.

• Product Ownership:Serve as the accountable Product Ownerof thecoreEDT products; own product vision, backlog, release planning, user experience,relevant trainingand adoption; set and manage service-level objectives for data freshness, reliability, and usability; maintain product documentation, standards, and a robust support model.Where product development involves third parties, provide vendor management and oversight, including scope definition, delivery governance, performance monitoring against SLAs, risk/issue management, and alignment to AZ standards for security, data quality, and compliance.

• Governance:Implement andoverseedata quality, lineage, access controls, and stewardship for the product; ensure compliance with privacy, security, and applicableGxPrequirements; operationalize model governance and monitoring with Enterprise AI Governance partners.

• Architecture:Partner withDirectorPortfolio& Technology Enablement(DPTE)andrelevantEnterprisepartners(e.g.Centre4 Enablement,AI Architecture,Data Platform teams)to design and operate scalable, secure, and cost-effective architectures supporting analytics and AI (e.g., Premium BI, Databricks, Power Platform, Copilot in Cockpit); contribute to the AI-ready data warehouse, optimizing product-specific pipelines, feature stores, and inference pathways;and own ongoing product maintenance, including proactive monitoring, patching and upgrades, capacity and cost optimization, incident and problem management, and lifecycle planning.

• Analytics &Modelling:Deliver portfolio insights and validated models tied to the product’s scope (forecasting, resource optimization, risk prediction,throughputand cycle-time analytics).

• Automation:Identify, prioritize, and scale AI/RPA use cases within the product domain; lead implementation using Power Automate, Copilot Studio, App Store Power Apps, and related tooling;establishautomation playbooks, guardrails, and telemetry to quantify speed, accuracy, and compliance impact.

• Innovation Oversight:Pilot and integrate emerging tools and platformswithin the scope of assigned products(e.g.,RAGify,Databricks, Copilot Studio,Trial View, AZ Brain, Copilot in Cockpit); evaluate pilots, codify patterns, and transition successful proofs-of-concept into supported, governed product capabilities.

• Stakeholder Engagement:Collaborate withinternal stakeholders thatincludesbut is not limited toEvidence DeliveryTeam,EG2P,Biopharmaceuticals Medical Excellence, R&D functional units, and Global/Local market evidence delivery teams; engage external partners (e.g.CROs,relevantvendors) to co-create high-impactEDT products andAI use cases, accelerate adoption, and ensure value realization.

• Risk Management:Proactively manage data accuracy, privacy, security, operational resilience, and model risk for the product; implement controls for sensitive data, bias, drift, and explainability;maintainrunbooks, monitoring, and clear escalation pathways.

• Enterprise Representation and Collaboration:Represent the assigned product in enterprise technological advancement initiatives; ensure alignment with enterprise standards and contribute to patterns and guidelines for AI-ready evidence systems; coordinate with the DPTEand peer product owners to harmonize strategies across the PPO portfolio.

• Resource & Performance Management:Plan and track product resources (internal and vendor), budgets, and timelines;maintaindashboards on product performance, adoption, automation impact, and model health; provide transparent progress, risk, and opportunity updates to EDT leadership.

Requirements:

Essential

• Previousexperience in data engineering, data visualization, and business analysis, withdemonstrateddelivery of AI-enabled analytics products.

• Strong product management capability, including roadmap ownership, backlogmanagement, release planning, and stakeholder engagement.

• Hands-on experience with modern analytics and AI platforms and tools (e.g., Premium BI, Databricks, Power Platform, Copilot, RAG applications, feature stores).

• Proficiencyin data governance execution: data quality, lineage, access controls, privacy, and security.

• Proven ability to translate insights and models into operational decisions and measurable outcomes; strong documentation and communication skills for senior leadership.

• University degree in business, data science, computer science, engineering, or related fields.

Desirable: