Senior Director, Head of Data & AI Risk Management

Werebuilding a connected end-to-endEnterprise AIengine - uniting data foundations AI technology process reinvention and business-facing AI to accelerate results across the whole value depends on being exceptional connectors:youllactivelyleverageexisting 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 - youll have the platform (and sponsorship) to make it real.

The Senior Director Data & AI Risk Management provides enterprise leadership for the identification assessment and management of Data and AI risks. The role ensures that Data and AI are deployed at scale while remaining within agreed risk appetite regulatory expectations and ethical standards. This role acts as a senior risk authority and trusted partner to the business translating policy intent into practical risk decisions driving mitigation where needed and enabling leaders to make confident timely decisions on Data & AI initiatives.

Typical Accountabilities

• Demonstrated leadership of diverse global teams to achieve the following objectives consistently exhibiting AZ values:

• Own the enterprise approach to identifying assessing and managing Data & AI risks across strategic operational ethical and regulatory dimensions.

• Integrate Data & AI risk into broader Enterprise Risk Management (ERM) processes ensuring alignment with enterprise risk appetite and strategic objectives.

• Ensure material Data & AI risks are surfaced understood and actively managed at an enterprise level.

• Improve enterprise risk posture by challenging the adequacy of mitigations driving timely remediation of material issues and escalating where risks exceed agreed appetite or controls are ineffective.

• Provide harmonised risk positions that support confident timely decisionmaking and informed discussions related to risk appetite.

• Oversee enterprise-level risk aggregation reporting and insight for Data & AI providing senior leadership and governance bodies with a clear view of systemic risk exposure trends and residual risk against appetite.

• Sponsor and / or lead priority initiatives across Data & AI Trust and Assurance irrespective of team boundaries including Standards and Controls rollout and regulatory compliance programmes covering requirements such as the US Data Security Program EU AI Act European Health Data Space and other emerging obligations.

• Establish and lead the enterprise operating model for Data & AI Risk Management defining clear accountabilities decision rights escalation paths and governance forums with well-defined stakeholder engagement across business units regions and functions.

• Drive continuous improvement of risk management processes for Data & AI to reflect stakeholder feedback and industry best practices.

• Serve as a senior advisor on complex or novel Data & AI use cases enabling proportionate risk decisions rather than default risk avoidance.

• Partner with Business areas Project Teams and Data Offices to embed risk management into ways of working delivery pipelines and operating models.

• Build strong relationships across Legal Compliance AZ IT and Privacy to ensure aligned and consistent risk approaches.

• Own and manage interactions with Group Internal Audit including Management Action Plans and remediation tracking related to Data & AI risk.

• Identify opportunities to safely accelerate Data Enablement and AI deployment within agreed risk appetite.

• 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 highstakes 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) promoting a culture of responsible and confident Data & AI use.

Education Qualifications Skills and Experience

Essential

• Bachelors degree in Business Administration Information/Data Science Informatics Computer Science Economics or related discipline or equivalent number of years of experience.

• Significant senior experience in risk management assurance governance or secondline oversight within a complex organisation.

• Demonstrated ability to build and lead a highperforming team with deep expertise in enterprise Data & AI risk management.

• Sponsor and / or lead priority initiatives across Data & AI Trust and Assurance irrespective of team boundaries including Standards and Controls rollout and regulatory compliance programmes covering requirements such as the US Data Security Program EU AI Act European Health Data Space and other emerging obligations.

• Champion a culture of responsible compliant and valuefocused use of data and AI across the organisation.

• 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

• Masters 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.

• 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.

• Familiarity with relevant data and AI regulations and compliance requirements (e.g. GxP GDPR EU AI Act NIS2 etc.).

• Applied data management data science AI development or AI governance skills including experience with related tools.

• Exposure publishing relevant data and / or AI risk management topics in peer-reviewed journals conferences and other scientific proceedings.

Why AstraZeneca

At AstraZenecawerededicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.Theresno better place to make a difference to medicinepatientsand society. An inclusive culture that champions diversity and collaboration and always committed to lifelong learninggrowthand development.Wereon an exciting journey to pioneer the future of healthcare.

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility.

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