Senior Director, Data & AI Risk Management

Were 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: youll 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 - youll have the platform (and sponsorship) to make it real.

Introduction to role

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. Acting as a senior risk authority and trusted partner to the business this position translates policy intent into practical risk decisions drives mitigation where needed and enables leaders to make confident timely decisions on Data & AI initiatives. Ready to shape how a data-led organisation harnesses AI safely and at pace

Accountabilities

• Lead diverse global teams to define and own the enterprise approach to identifying assessing and managing Data & AI risks across strategic operational ethical and regulatory dimensions ensuring decisions reflect organisational values and priorities.
• Integrate Data & AI risk into broader Enterprise Risk Management processes so that risk appetite strategic objectives and technology ambitions stay aligned as new capabilities scale.
• Ensure material Data & AI risks are surfaced early clearly understood and actively managed at an enterprise level enabling transparent trade-offs between innovation and control.
• Challenge the adequacy of mitigations drive timely remediation of material issues and escalate where risks exceed agreed appetite or controls are ineffective improving the overall enterprise risk posture.
• Provide harmonised risk positions that support confident timely decisionmaking and informed discussions related to risk appetite in senior leadership and governance forums.
• Oversee enterprise-level risk aggregation reporting and insight for Data & AI giving senior leadership a clear view of systemic risk exposure trends and residual risk against appetite.
• Establish and lead the enterprise operating model for Data & AI Risk Management defining clear accountabilities decision rights escalation paths and governance forums with strong stakeholder engagement across business units regions and functions.
• Continuously improve risk management processes for Data & AI by incorporating stakeholder feedback and external best practices ensuring methods stay relevant as technologies evolve.
• Serve as a senior advisor on complex or novel Data & AI use cases enabling proportionate risk decisions rather than default risk avoidance so that innovation can move forward safely.
• Partner with Business areas Project Teams and Data Offices to embed risk management into ways of working delivery pipelines and operating models from the earliest stages of initiatives.
• Build strong relationships across Legal Compliance IT and Privacy to ensure aligned and consistent approaches to Data & AI risk across the organisation.
• Own and manage interactions with Group Internal Audit related to Data & AI risk including Management Action Plans and remediation tracking.
• Identify opportunities to safely accelerate data enablement and AI deployment within agreed risk appetite turning uncertainty into structured opportunity.
• Model collaborative behaviours by partnering effectively across functions and levels actively listening resolving conflicts constructively and cocreating solutions that achieve shared goals.
• Synthesize complex issues into concise narratives for highstakes forums anticipating stakeholder concerns navigating ambiguity and driving alignment and decisions with clarity and confidence
• Demonstrate executive presence in engagements with senior executive leadership and governance bodies such as Audit Committee or data councils promoting a culture of responsible and confident Data & AI use.

Essential Skills/Experience

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

• 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.
• 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.

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. Join us in our unique and ambitious world.

AstraZeneca offers the chance to solve complex problems at scale where data analytics and AI directly influence how life-changing medicines are discovered developed and delivered. Work at the earliest stages of high-impact initiatives to shape direction from day one turning uncertainty into robust approaches that power better decisions across the company. Experiment with modern technology platforms in a fast-moving environment that encourages curiosity ownership and continuous learning through real projects hackathons and cross-functional collaboration. Join diverse experts who share knowledge openly challenge assumptions constructively and are backed by meaningful investment to push boundaries in digital and data while keeping patients at the heart of every decision

Ready to lead how Data & AI risks are managed while enabling bold innovation Apply now to take on this pivotal role.

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