At a Glance
- Tasks: Lead Data & AI risk management and translate regulations into actionable strategies.
- Company: Join AstraZeneca, a global leader in healthcare innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and governance.
- Why this job: Make a real impact on responsible Data & AI use at a large scale.
- Qualifications: Experience in risk management and strong communication skills required.
The predicted salary is between 67500 - 82500 £ per year.
In this role you lead enterprise Data & AI risk management, partnering with governance and risk teams to translate complex regulatory expectations into practical actions. You will shape risk posture, metrics, and reporting for senior leadership, enabling responsible use of Data & AI at scale. You collaborate across functions to drive risk-aware decisions, governance, and continuous improvement. This position offers impact at AstraZeneca’s scale by turning risk insights into concrete mitigations and trusted business outcomes.
Responsibilities
- Provide risk advisory and risk appetite support across Data & AI risks to enable timely, proportionate decisions.
- Translate regulatory requirements into risk positions, decisions, and actions with clear ownership.
- Lead or manage priority Data & AI Risk initiatives, including standards, controls, and regulatory programs (US Data Security Program, EU AI Act, European Health Data Space).
- Improve visibility of risk posture through dashboards, indicators, and analytics on exposures, mitigations, and progress against appetite.
- Engage stakeholders to align risk exposure, challenge mitigations, and drive residual risk down.
- Lead aspects of risk aggregation, analysis, and reporting for Enterprise Risk Management and senior governance bodies.
- Facilitate risk assessments and decision forums for complex Data & AI use cases balancing enablement, compliance, and protection.
- Synthesize issues into executive-ready narratives and influence decisions in high-stakes forums.
- Partner with Legal, Compliance, Privacy, Cyber Risk, Data Offices, and other functions to align risk approaches and accountabilities.
- Identify opportunities to simplify and improve risk management processes while preserving oversight.
- Promote a culture of responsible, compliant, and value-focused use of Data & AI, aligned with AstraZeneca values.
Key requirements
- Significant experience in risk management, assurance, governance, or second-line oversight within a global organisation.
- Experience assessing and managing data, technology, digital, or AI risks and translating issues into pragmatic decisions.
- Strong project leadership and cross-functional delivery experience.
- Experience providing risk advisory including risk appetite, mitigation, escalation, and risk acceptance discussions.
- Working knowledge of regulatory requirements such as US Data Security Program, EU AI Act, European Health Data Space, GDPR, NIS2 or equivalent frameworks.
- Experience with governance forums, executive reporting, risk indicators, dashboards, and Enterprise Risk Management processes.
- Excellent communication with senior stakeholders and ability to influence decisions.
- Strong collaboration and negotiation, problem-solving and facilitation, change leadership and enablement mindset, risk management and governance, regulatory compliance knowledge (GDPR, US Data Security Program, EU AI Act, NIS2), risk reporting, dashboards, and KPIs.
Director, Data & AI Risk Management in London employer: AstraZeneca
AstraZeneca is an exceptional employer, offering a dynamic work environment in Cambridge where innovation meets collaboration. Employees benefit from a culture that values entrepreneurial thinking and scientific excellence, alongside opportunities for professional growth through mentorship and cross-functional projects. With a commitment to diversity and inclusion, AstraZeneca fosters a supportive atmosphere that empowers individuals to make meaningful contributions to life-changing medicines.
