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

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 Policy Assurance and Monitoring leads the enterprise approach to defining implementing and assuring Data and AI standards and controls owning how these are monitored tested and reported on for effectiveness. This role turns regulatory ethical and risk requirements into pragmatic automated and scalable policies and controls that enable safe responsible use of data and AI at scale. By converting standards into embedded controls and overseeing monitoring and assurance this position drives policy-to-practice execution and provides clear insightful reporting to senior leadership. Ready to shape how a global organisation uses data and AI with confidence

Accountabilities

• Lead the ownership maintenance and right-sizing of the enterprise Data & AI standards and control framework ensuring alignment with business strategy risk appetite and external regulations.
• Translate regulatory and ethical requirements into clear pragmatic and scalable enterprise standards that cover key data and AI use cases across the organisation
• Design build or partner to embed associated Data & AI controls into business processes platforms and tooling with a strong emphasis on automation and control-by-design.
• Drive enterprise-wide adoption of Data & AI standards and controls in a federated environment influencing stakeholders and shaping change management plans that enable consistent sustainable implementation.
• Continuously improve Data & AI standards and controls based on stakeholder feedback emerging technologies evolving risks and regulatory change
• Act as the enterprise authority on Data & AI control expectations providing interpretation and guidance to senior stakeholders technology teams and business leaders.
• Establish robust monitoring and assurance to evaluate Data & AI control effectiveness and sustain compliance including KPI and maturity reporting to senior leadership.
• Drive improvements in performance measures related to Data & AI standards and controls ensuring tangible impact on risk management and value delivery.
• Establish and lead the enterprise operating model for Data & AI Policy Assurance and Monitoring defining accountabilities decision rights escalation paths governance forums and stakeholder engagement across business units regions and functions.
• Partner effectively across functions and levels to actively listen resolve conflicts constructively and co-create solutions that achieve shared goals.
• Synthesise complex issues into concise narratives for high-stakes forums anticipating stakeholder concerns navigating ambiguity and driving alignment and decisions.
• Demonstrate strong executive presence building credibility quickly and communicating with clarity and confidence to influence senior executive leadership in forums such as Audit Committee or data governance councils.

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.
• 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 highperforming team with deep expertise in enterprise Data & AI standards and controls.
• Champion a culture of responsible compliant and valuefocused use of data and AI across the organisation.
• Familiarity with relevant data and AI regulations and compliance requirements (e.g. GxP GDPR EU AI Act NIS2 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 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.
• Applied data management data science AI development or AI governance skills including experience with related tools.
• Experience leading teams responsible for redteaming control testing and secondline 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.

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 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.

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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