Posted 5 days ago

Senior Director, Head of Data & AI Policy, Assurance, and Monitoring

4314 AstraZeneca Pharmaceuticals LP Company United Kingdom, UK - Macclesfield
Onsite Full Time
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Job description

We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real. Introduction to role The Senior Director, Head of Data & AI Policy, Assurance, and Monitoring provides enterprise leadership for the definition, implementation, and assurance of Data and AI standards and controls, including ownership of monitoring, testing, and reporting on control effectiveness. The role ensures that data and AI can be used safely, responsibly, and at scale by translating regulatory, ethical, and risk requirements into pragmatic, automated, and enterprise-wide policies and controls. The role drives policy-to-practice execution by converting standards into embedded controls and overseeing monitoring, assurance, and reporting to senior leadership. Typical Accountabilities Demonstrated leadership of diverse, global teams to achieve the following objectives, consistently exhibiting AZ values: Own, maintain, and right size the enterprise Data & AI standards and control framework, ensuring alignment to business strategy, risk appetite, and external regulations (e.g., AI regulation, data privacy, etc.). Translate regulatory and ethical requirements into clear, pragmatic, and scalable enterprise standards covering use cases for data and AI. Design, build, or partner to successfully embed associated controls for Data & AI into business processes, platforms, and tooling, with a strong focus on automation and "control-by-design". Drive enterprise-wide adoption of Data & AI standards and controls, operating effectively in a federated environment to influence stakeholders and shape change management plans that enable consistent, sustainable implementation. Drive continuous improvement of standards and controls for Data & AI to reflect stakeholder feedback, emerging technologies, evolving risks, and regulatory change. Serve as the enterprise authority on Data & AI control expectations, providing interpretation and guidance to senior stakeholders, technology teams, and business leaders. Establish monitoring and assurance to evaluate Data and AI control effectiveness and sustain compliance, including reporting to senior leadership through KPIs and maturity measures. Drive improvements in performance measures related to standards and controls. Establish and lead the enterprise operating model for Data & AI Policy, Assurance, and Monitoring, defining clear accountabilities, decision rights, escalation paths, and governance forums, with well-defined stakeholder engagement across business units, regions, and functions. Demonstrated ability to partner effectively with colleagues across functions and levels, actively listen, resolve conflicts constructively, and co-create solutions to achieve shared goals. Demonstrated ability to synthesise complex issues into concise narratives, anticipating stakeholder concerns, navigating ambiguity, and driving alignment and decisions in high-stakes forums. Executive presence with the ability to build credibility quickly, communicate with clarity and confidence, and influence senior executive leadership at forums such as Audit Committee, the Data Enablement Council, or SET-area Data Office (SEDO). Education, Qualifications, Skills, and

Experience

Essential Bachelor's degree in business administration, Information/Data Science, Informatics, Computer Science, Economics, or related discipline – or equivalent number of years of experience. In-depth and demonstrated knowledge of standards, controls, assurance, and monitoring for Data and AI capabilities applicable to the Pharma industry. Demonstrated ability to build and lead a high‑performing team with deep expertise in enterprise Data & AI standards and controls. Champion a culture of responsible, compliant, and value‑focused use of data and AI across the organisation. Familiarity and up to date with relevant data and AI regulations and compliance requirements (e.g. GxP, GDPR, EU AI Act, NIS2, etc.) Proven ability to develop strong partnerships with other areas of the business such as Legal, Compliance, Cyber Security, Enterprise Risk Management, Data Offices, etc.). Demonstrated project leadership skills. Demonstrate effective communication skills with the ability to influence others to achieve objectives. Proven change management, collaboration, and negotiation skills. Desirable Master’s or PhD in Business Administration, Information/Data Science, Informatics, Computer Science, Economics, or related discipline.

Experience

in life sciences and healthcare. Intimate knowledge of relevant key business processes in the Pharma industry. Technical ability to operationalise controls through automation (“control-by-design”). Practical knowledge of ISO/IEC 42001 (Artificial Intelligence Management Systems). Practical knowledge of NIST AI Risk Management Framework. Data and / or AI Governance and Data Management education and certifications. Applied data management, data science, AI development, or AI governance skills, including experience with related tools.

Experience

leading teams responsible for red‑teaming, control testing, and second‑line assurance over Data & AI risks and controls. Exposure publishing relevant data and / or AI governance and policy topics in peer-reviewed journals, conferences, and other scientific proceedings. Office Working

Requirements

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. AstraZeneca offers the chance to shape a truly digital and data-led enterprise where work directly influences how life-changing medicines are discovered, developed, and delivered. Here technology platforms, advanced analytics, AI and machine learning are combined with leading science to solve complex problems at pace. Colleagues are encouraged to experiment with modern tools, challenge the status quo, learn continuously through initiatives such as hackathons and mentoring programmes, and collaborate across diverse teams and functions. With strong investment in data capabilities and a constant flow of new challenges in emerging areas, this is a place to take ownership, grow quickly, build industry-defining solutions and see the impact of your work on patients worldwide. . #EAI Date Posted 13-ago-2026 Closing Date 18-ago-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We focus on discovering, developing and commercialising prescription medicines for some of the world’s most serious diseases. But we are more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science, challenge convention and unleash your entrepreneurial spirit. To embrace differences and take bold actions to drive the change needed to meet global healthcare and sustainability challenges. There is no better place to make a difference in medicine, patients, and society. An inclusive culture where you will connect different thinking to generate new and valuable opportunities. Where you will find a commitment to lifelong learning, growth and development for all. Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients. Inclusion and diversity are fundamental to the success of our company, because innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking. We’re curious about science and the advancement of knowledge. We find creative ways to approach new challenges. We’re driven to make the right choices and be accountable for our actions. As an organisation centred around what makes us human, we put a big focus on people. Across our business, we want colleagues to wake up excited about their day at the office, in the field, or in the lab. Along with our purpose to bring life-changing medicines to people across the globe, we have a promise to you: to help you realise the full breadth of your potential. Here, you’ll do work that has the potential to change your life and improve countless others. And, together with your team, you’ll shape a culture that unites and inspires us every day. This is your life at AstraZeneca.

Skills and functions

  • Data Science
  • Machine Learning