Oferty pracy: clinical research

The Medical Evidence Delivery Operations – a part of Evidence Generation To Publications (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 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 & Technology 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.

• Data Strategy Alignment: Responsible for creation and execution 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 of 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 & Technology 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 includes 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 DPTE 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: