At a Glance
- Tasks: Lead Data & AI risk management, ensuring compliance and innovation balance.
- Company: Join a forward-thinking enterprise focused on data-driven solutions.
- Benefits: Flexible work arrangements, hackathons, and investment in digital initiatives.
- Other info: Collaborative culture with opportunities for high-impact projects.
- Why this job: Shape the future of AI while managing risks at an enterprise level.
- Qualifications: Experience in risk management and strong leadership skills required.
The predicted salary is between 118800 - 145200 £ per year.
Overview
In this role you lead Data & AI risk at scale, shaping a safe, compliant data-driven enterprise.
You partner with business leaders to embed risk-aware practices into initiatives, balancing innovation with regulatory and ethical standards.
You’ll drive enterprise risk visibility, framing decisions for senior governance forums and enabling confident, timely action.
You’ll steer cross-functional teams to create reusable, enterprise-wide risk capabilities that scale with AI deployments.
- Pay / Benefits
- minimum of three days per week in the office
- flexible work arrangement
- opportunity to work on high-impact initiatives
- hackathons and cross-functional collaboration
- investment in digital and data initiatives
- culture of curiosity and ownership
Responsibilities
- Define and 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 processes to align risk appetite with technology ambitions
- Surface material Data & AI risks early and manage them at the enterprise level with clear trade-offs between innovation and control
- Challenge mitigations, drive remediation, and escalate when risks exceed appetite or controls fail
- Provide harmonised risk positions to support senior leadership decisions on risk appetite
- Oversee enterprise-level risk aggregation, reporting, and insight for Data & AI risks
- Establish and lead the operating model for Data & AI Risk Management with clear accountability and governance forums
- Continuously improve risk management processes by incorporating stakeholder feedback and external best practices
- Advise on complex Data & AI use cases to enable proportionate risk decisions while allowing innovation to move forward
- Partner with Business, Project Teams, and Data Offices to embed risk management from the start of initiatives
- Build relationships with Legal, Compliance, IT, and Privacy to align risk approaches
- Own interactions with Group Internal Audit related to Data & AI risk and remediation tracking
- Identify opportunities to accelerate data enablement and AI deployment within risk appetite
- Demonstrate collaborative behaviours across functions and levels to co-create solutions
- Synthesize complex issues into concise narratives for high-stakes discussions and drive alignment
- Demonstrate executive presence in engagements with senior leadership and governance bodies
- Key requirements
- Bachelor’s degree or equivalent experience in a relevant field
- Significant senior experience in risk management, assurance, governance, or second-line oversight
- Proven ability to build and lead a high-performing Data & AI risk team
- Champion a culture of responsible data & AI use
- Demonstrated project leadership and stakeholder influence skills
- Effective communication and negotiation abilities
- Strong change management and collaboration capabilities
- influence and negotiation
- communication
- collaboration
- Data & AI risk governance
- Regulatory compliance knowledge (GDPR, EU AI Act, NIS2, etc.)
- Risk reporting and metrics
Senior Director, Head of 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.
