Associate Director, Portfolio and Technology Enablement job opportunity at AstraZeneca.

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AstraZeneca Associate Director, Portfolio and Technology Enablement
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Portfolio and Technology Enablement

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degreeAssociate
loacation Poland - Warsaw, Poland
loacation Poland - Warsa..........Poland

The Medical Evidence Delivery Operations   – a part of   Evidence Generation   To   Publications (EG 2 P)   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 Enablement   independently 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.   The   role   also  identifies   process improvements and drives the implementation of solutions  to enhance efficiency, data quality, and time-to-insight.  The AD   PTE   operates   independently   within the scope of the   Portfolio   & Technolog y Enablement   Team , ensuring strong alignment to EDT’s strategic   objectives   while driving cross-enterprise collaboration with   AZ   AI governance, architecture, data platform,   IT   and security teams.   Responsibilities: Data Strategy Alignment:     Responsible   for creation and   exec ution   of   the 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 Owner   o f the   core   EDT products; own product vision, backlog, release planning, user experience,   relevant training   and 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 and   oversee   data quality, lineage, access controls, and stewardship for the product; ensure compliance with privacy, security, and applicable   GxP   requirements; operationalize model governance and monitoring with Enterprise AI Governance partners.   Architecture:   Partner with   Director   Portfolio   & Technolog y Enablement   (DPTE)   and   relevant   Enterprise   partners   (e.g.   Centre   4 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,   throughput   and 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;   establish   automation playbooks, guardrails, and telemetry to quantify speed, accuracy, and compliance impact.   Innovation Oversight:   Pilot and integrate emerging tools and platforms   within 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 with   internal stakeholders that   include s   but is not limited to   Evidence Delivery   Team ,   EG2P ,   Biopharmaceuticals Medical Excellence, R&D functional units, and Global/Local market evidence delivery teams; engage external partners ( e.g.   CROs,   relevant   vendors) to co-create high-impact   EDT products and   AI 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;   maintain   runbooks, 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 D PTE   and peer product owners to harmonize strategies across the PPO portfolio.   Resource & Performance Management:   Plan and track product resources (internal and vendor), budgets, and timelines;   maintain   dashboards on product performance, adoption, automation impact, and model health; provide transparent progress, risk, and opportunity updates to EDT leadership.   Requirements: Essential Previous   experience in data engineering, data visualization, and business analysis, with   demonstrated   delivery of AI-enabled analytics products.   Strong product management capability, including roadmap ownership, backlog   management, 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).   Proficiency   in 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: Experience within pharmaceutical/clinical or RWE environments and evidence study delivery operations; familiarity with regulatory and compliance considerations.   Experience working in multi-cultural, virtual teams and with external service providers (e.g., CROs, platform vendors).   Exposure to enterprise AI governance, architecture, and security frameworks; experience with responsible AI practices in regulated settings.   Date Posted 19-sty-2026 Closing Date 31-sty-2026 AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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