Director, RDU IT - Business Partner, Global Medical Affairs IT

As Director, IT Business Partner – Global Medical Affairs
, you will serve as the primary IT leader interfacing with Medical Affairs in the Rare Disease Unit (RDU). In this strategic role, you will drive the development and execution of a forward-looking technology roadmap for Medical, championing digital transformation, continuous improvement, and operational excellence.

By proactively identifying opportunities for innovation and supporting Medical’s evolving scientific, clinical, and business priorities, you will ensure that Medical is equipped with modern, efficient, and compliant technology solutions that advance scientific engagement and patient outcomes.

You will also help identify and progress practical Generative AI and Predictive AI opportunities, working with Enterprise Data & AI, Architecture, Quality, Privacy, Security, and business teams to support responsible adoption, measurable value, and effective human–AI collaboration.

Accountabilities

• Strategic partnership
  :
  Act as a trusted advisor and thought partner to Global Medical Affairs leadership, translating business strategy and needs into actionable technology initiatives.
• Technology roadmap
  :
  Build and maintain a comprehensive Medical IT roadmap aligned with RDU priorities and the global enterprise IT strategy.
• Program delivery
  :
  Lead the successful delivery of Medical IT projects and programs, including business process improvements, data integration, and system digitization, while ensuring quality, timeliness, and regulatory compliance, including GxP, privacy, and security requirements.
• Business cases and value realization
  :
  Facilitate the development of business cases, value-realization plans, and executive communications to support technology investments across Medical. Partner on cross-functional initiatives with Commercial, R&D, and enabling functions.
• Innovation and emerging technologies
  :
  Drive the evaluation and adoption of innovative technologies, including digital health, data analytics, and AI, to address critical Medical business challenges and improve Medical-to-Market capabilities.
• AI use cases and pilots
  :
  Partner with business and technical teams to translate priority use cases into appropriately governed pilots and scalable solutions, with clear success measures, user feedback, and value-realization plans.
• Responsible AI delivery
  :
  Apply company AI governance, data privacy, security, GxP, and validation requirements across the solution lifecycle. Escalate higher-risk use cases to the appropriate governance and assurance forums.
• Data readiness and governance
  :
  Work with Medical, Data & AI, and data-owner teams to improve the readiness, quality, governance, and appropriate reuse of priority data for analytics and AI, aligned with FAIR principles where applicable.
• AI-enabled ways of working
  :
  Enable adoption of AI-assisted ways of working through role-based AI literacy, change management, user support, and transparent communications that build confidence while maintaining appropriate human oversight and accountability.
• Performance measurement
  :
  Define and monitor practical measures for AI-enabled initiatives, including adoption, usability, quality, efficiency, stakeholder outcomes, and realized business value. Use results to guide iteration or retirement.
• Change management and adoption
  :
  Oversee effective change management, communications, and solution adoption across diverse Medical teams and stakeholders.
• Stakeholder and vendor relationships
  :
  Maintain and develop collaborative relationships across AstraZeneca/Alexion IT, the broader RDU, and external partners and vendors.
• Continuous improvement
  :
  Lead post-implementation reviews and lessons learned to continually enhance project delivery and process performance.
• Talent leadership
  :
  Manage and develop talent within the Medical IT business partnership, fostering a culture of high performance, learning, and continuous improvement.
• Leadership role modeling
  :
  Model responsible and confident use of AI in day-to-day leadership. Encourage appropriate experimentation, curiosity, and continuous learning while reinforcing human accountability, sound judgment, and compliance expectations.
• Organizational change
  :
  Lead the people and organizational change required for AI-enabled ways of working by setting clear expectations, coaching team members, addressing adoption barriers, sharing lessons learned, and creating a psychologically safe environment for responsible testing, feedback, and improvement.
• Enterprise…