Senior Director, 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 chain.Success 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 whileremainingwithin 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 confidenttimelydecisions on Data & AI initiatives.

Typical Accountabilities:

• Demonstratedleadership of diverse global teams to achieve the followingobjectives consistentlyexhibitingAZ values:

• Own the enterprise approach toidentifying assessing and managing Data & AI risks across strategic operational ethical and regulatory dimensions. o Integrate Data & AI risk into broader Enterprise Risk Management (ERM) processes ensuring alignment with enterprise risk appetite and strategicobjectives.

• Ensure material Data & AI risks are surfaced understood and actively managed at an enterprise level. o Improve enterprise risk posture by challenging the adequacy of mitigations drivingtimelyremediation of material issues and escalating where risks exceed agreed appetite or controls are ineffective.

• Provide harmonised risk positions that support confidenttimelydecision-making and informed discussions related to risk appetite. o 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.

• 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.

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

• Demonstratedability to partner effectively with colleagues across functions and levels actively listen resolve conflicts constructively and co-create solutions to achieve shared goals.

• Demonstratedability to synthesise complex issues into concise narrativesanticipatingstakeholder 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) 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 second-line oversight within a complex organisation.

• Demonstrated ability to build and lead a high-performing team withdeepexpertisein enterprise Data & AI risk management.

• Champion a culture of responsible compliant and value-focused use of data and AI across the organisation.

• Demonstrated project leadership skills. Demonstrate effective communication skills with the ability to influence others to achieveobjectives. 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.

• 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 challengeperceptions.Thatswhy we work on average a minimum of three days per week from the office. But thatdoesntmeanwerenot 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 analyticsAIand 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-definingsolutionsand see the impact of your work on patients worldwide.

If this role excites you and you are ready to help shape AstraZenecas digital journey in Data & AI Policy Assurance and Monitoring apply now.

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