Director, Data Science Operations – Early Cardiovascular, Renal and Metabolism

Job Title: Director, Data Science Operations – Early Cardiovascular, Renal and Metabolism Location: Boston, MA At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person. Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week . Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.    Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.    Introduction to Role: The Early CVRM (Cardiovascular, Renal and Metabolism) Data Science & AI team connects human data, disease biology and advanced analytics to inform portfolio decisions from target discovery through clinical development. The team works with complex data from early clinical trials, external academic collaborations and exploratory studies, rich in omics, imaging and clinical measurements.  We are hiring a Director, Data Science Operations to provide operational leadership for the operating model, portfolio delivery and data capabilities of the Early CVRM Data Science & AI organisation. Operating in a global matrix, this role will mobilize cross-functional partners to deliver shared outcomes across Boston and Cambridge, US; Cambridge, UK; and Gothenburg, Sweden. The role provides scientific and technical leadership across multiple collaborations, dependencies, governance decisions and technical workstreams. A core focus is to optimize how the organization works through AI-enabled approaches, including the orchestration of agentic AI.  Accountabilities: Program leadership and delivery   • Set the operational model and data capabilities for the Early CVRM Data Science & AI, translating it into a value-led portfolio of priorities, delivery plans and measurable scientific outcomes.  • Own the integrated portfolio view delivery risk and capacity to shape resource trade-offs and sequencing across projects.  • Establish cross-functional governance and ways of working that accelerate high-quality delivery, resolve dependencies and maximize portfolio value across sites and organizational boundaries.  • Anticipate and resolve delivery constraints, escalating material trade-offs and guiding timely decisions that protect scientific impact, quality and speed.  Team leadership   • Mentor, inspire and develop a globally distributed, interdisciplinary team of data scientists and informaticians, while providing matrix leadership across partner teams and sites to ensure collective accountability for delivery.  • Establish and lead a scalable, agile multi-site operating model with clear decision rights, accountabilities, priorities and capacity visibility, continuously improving productivity and performance across Data Science & AI and matrix teams.  • Champion professional standards and best practices such as code review, reproducible workflows and documentation.  Stakeholder partnership   • Build trusted partnerships with project teams and functional leaders across Early CVRM an