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Director, Data & AI Risk Management

AstraZeneca


Job Location:

Gaithersburg, MD - USA

Yearly Salary: USD 153481 - 230221
Posted: 29 September 2026 (Yesterday)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

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 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 Director Data & AI Risk Management leads and delivers enterprise risk management activities that help AstraZeneca identify assess govern report and reduce Data & AI risk.

The role provides practical risk advisory consulting governance and risk appetite support across regulatory compliance data protection AI governance and related risk domains.

Reporting to the Senior Director Data & AI Risk Management the Director partners across Data & AI Trust and Assurance and with business and enabling functions to translate complex risk and regulatory expectations into clear decisions proportionate mitigations and measurable improvements in risk posture.

The role also leads cross-functional projects and supports enterprise governance forums and Enterprise Risk Management reporting enabling responsible and confident use of Data & AI at scale.


Typical Accountabilities

  • Provide trusted risk advisory consulting and risk appetite support across Data & AI risks helping stakeholders make timely proportionate and well-informed decisions.
  • Provide governance and business analysis support across regulatory compliance data protection AI governance and other Data & AI risk areas translating complex requirements into clear risk positions decisions and actions.
  • Lead and/or project manage priority initiatives across Data & AI Trust and Assurance irrespective of team boundaries including Standards and Controls rollout and regulatory compliance programmes covering requirements such as the US Data Security Program EU AI Act European Health Data Space and other emerging obligations.
  • Improve visibility of Data & AI risk posture by developing clear narratives indicators dashboards and insights on material exposures trends mitigations residual risk and progress against appetite.
  • Engage business and functional stakeholders to build relationships and understand risk exposure challenge the adequacy of mitigations agree pragmatic remediation and help drive residual risk and overall risk posture down.
  • Lead selected aspects of Data & AI risk aggregation analysis and reporting for Enterprise Risk Management senior leadership and governance bodies.
  • Facilitate risk assessments workshops and decision forums for complex or novel Data & AI use cases balancing enablement compliance and protection of patients the company and its information and intellectual property.
  • Synthesize complex issues into concise executive-ready narratives; anticipate stakeholder concerns; navigate ambiguity; and influence decisions in high-stakes forums.
  • Partner with Regulatory Intelligence Legal Compliance Privacy Cyber Risk Enterprise Risk Management Data Offices and risk teams in R&D Operations Commercial Enabling Units and other business functions to align risk approaches and accountabilities.
  • Work across Data & AI Trust and Assurance teams to accomplish shared goals resolve cross-cutting issues and deliver integrated outcomes across policy standards and controls assurance monitoring risk and regulatory readiness.
  • Identify opportunities to simplify and continuously improve Data & AI risk management processes governance reporting and stakeholder experience while preserving effective oversight.
  • Promote a culture of responsible compliant and value-focused use of Data & AI demonstrating AstraZeneca values in all interactions.

Education Qualifications Skills and Experience

Essential

  • Bachelors degree in business administration Risk Management Information/Data Science Informatics Computer Science Economics Law or a related discipline or equivalent relevant experience.
  • Significant experience in risk management assurance governance regulatory compliance or second-line oversight within a complex global organisation.
  • Demonstrated experience assessing and managing data technology digital and/or AI risks and translating complex issues into pragmatic business decisions.
  • Strong project leadership and project management capability including delivery through cross-functional and matrixed teams such as Regulatory Compliance areas of organisational risk AI governance or related disciplines.
  • Experience providing risk advisory or consulting support including risk appetite mitigation escalation and risk acceptance discussions.
  • Working knowledge of relevant Data & AI regulatory and compliance requirements such as the US Data Security Program EU AI Act European Health Data Space GDPR GxP NIS2 or comparable frameworks.
  • Experience with governance forums executive reporting risk indicators dashboards or Enterprise Risk Management processes.
  • Strong business analysis facilitation and problem-solving skills with the ability to structure ambiguity and establish clear ownership and actions. This includes working across domains such as regulatory compliance data protection AI governance or related disciplines to translate requirements into clear risk positions decisions accountabilities and actions.
  • Demonstrated experience developing risk reporting to support senior management decision-making.
  • Proven ability to build partnerships across Legal Compliance Privacy Cyber Security Enterprise Risk Management Data Offices technology and business functions.
  • Excellent written and verbal communication with the credibility to influence senior stakeholders and present concise decision-oriented recommendations.
  • Strong collaboration negotiation and change leadership skills with a practical proportionate and enablement-focused mindset.

Desirable

  • Masters degree or advanced qualification in Business Administration Risk Management Information/Data Science Informatics Computer Science Economics Law or a related discipline.
  • Experience in life sciences healthcare or another highly regulated industry.
  • Practical knowledge of ISO/IEC 42001 the NIST AI Risk Management Framework or recognised enterprise risk and control frameworks.
  • Data AI privacy compliance audit governance or risk management education and professional certifications.
  • Experience implementing or assessing standards and controls and linking regulatory obligations risks controls assurance and reporting.
  • Knowledge of key pharmaceutical business processes across R&D Operations Commercial and Enabling Units.

Why AstraZeneca

At AstraZenecawerededicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial better place to make a difference to medicinepatientsand society. An inclusive culture that champions diversity and collaboration and always committed to lifelong learninggrowthand an exciting journey to pioneer the future of healthcare.

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.


The annual base pay (or hourly rate of compensation) for this position ranges from $153480.80 - $230221.20 USD .Our positions offer eligibility for various incentivesan opportunity to receive short-term incentive bonuses equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs paid time off (i.e. vacation holiday and leaves) as well as health dental and vision coverage in accordance with the terms of the applicable plans.

#EAI

Date Posted

25-Sept-2026

Closing Date

02-Oct-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and furtherance of that mission we welcome and consider applications from all qualified candidates regardless of their protected characteristics. If you have a disability or special need that requires accommodation please complete the corresponding section in the application form.


Required Experience:

Director


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AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more

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