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

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, 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. 

The annual base pay (or hourly rate of compensation) for this position ranges from $ 176.677,60  - $ 265.016,40 USD Annual, either as annual base pay or as the hourly rate (annual base pay divided by 2080 hours)]. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.    

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. .  

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