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

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.

Introduction to role

TheSenior Director Data & AI Policy Assurance and Monitoringprovidesenterprise leadership for the definition implementation and assurance of Data and AI standards and controls including ownership of monitoring testing and reporting on control effectiveness.

The role ensures that data and AI can be used safely responsibly and at scale by translating regulatory ethical and risk requirements into pragmatic automated and enterprise-wide policies and controls. The role drives policy-to-practice execution by converting standards into embedded controls and overseeing monitoring assurance and reporting to senior leadership.

Typical Accountabilities

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

• Ownmaintain and right size the enterprise Data & AI standards and control framework ensuring alignment to business strategy risk appetite and external regulations (e.g. AI regulation data privacy etc.).

• Translate regulatory and ethical requirements into clear pragmatic and scalable enterprise standards covering use cases for data and AI.

• Design build or partner to successfully embed associated controls for Data & AI into business processes platforms and tooling with a strong focus on automation and control-by-design.

• Drive enterprise-wide adoption of Data & AI standards and controlsoperatingeffectively in a federated environment to influence stakeholders and shape change management plans that enable consistent sustainable implementation.

• Drive continuous improvement of standards and controls for Data & AI to reflect stakeholder feedbackemergingtechnologies evolving risks and regulatory change.

• Serve as the enterprise authority on Data & AI control expectations providing interpretation and guidance to senior stakeholders technology teams and business leaders.

• Establish monitoring and assurance to evaluate Data and AI control effectiveness and sustain compliance including reporting to senior leadership through KPIs and maturity measures.

• Drive improvements in performance measures related to standards and controls.

• Establish and lead the enterprise operating model for Data & AI Policy Assurance and Monitoring defining clear accountabilities decision rights escalation paths and governance forums with well-defined stakeholder engagement across business units regions and functions.

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

• Demonstrated ability 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).

Education Qualifications Skills and Experience

Essential

• Bachelors degree in business administration Information/Data Science InformaticsComputerScienceEconomicsor related discipline or equivalent number of yearsof experience.

• In-depthanddemonstratedknowledgeofstandardscontrolsassurance and monitoringfor Data and AIcapabilitiesapplicable to the Pharma industry.

• Demonstrated ability to buildand lead a highperforming team with deepexpertiseinenterpriseData & AIstandards andcontrols.

• Champion a culture of responsible compliant andvaluefocuseduse of data and AI across the organisation.

• Familiarityandup to date withrelevant data and AI regulations and compliance requirements(e.g.GxP GDPR EU AI Act NIS2etc.)

• Proven ability to developstrong partnerships with other areas of the business such as Legal Compliance Cyber Security Enterprise Risk Management Data Offices etc.).

• Demonstrated project leadership skills.

• Demonstrateeffective communicationskills with the ability to influence others to achieveobjectives.

• Proven change managementcollaborationand negotiation skills.

Desirable

• Mastersor PhD inBusiness Administration Information/Data Science InformaticsComputerScienceEconomicsor related discipline.

• Experience in life sciences and healthcare.

• Intimate knowledge ofrelevantkey business processesin the Pharma industry.

• Technical ability tooperationalisecontrols through automation (control-by-design).

• Practicalknowledge of ISO/IEC 42001 (Artificial Intelligence Management Systems).

• Practicalknowledge ofNISTAI Risk Management Framework.

• Dataand / or AIGovernance and Data Management education and certifications.

• Applied data managementdata scienceAI development or AI governance skillsincluding experience with related tools.

• Experience leading teams responsible forredteaming control testing andsecondlineassurance over Data & AI risks and controls.

• Exposurepublishing relevantdataand / or AIgovernance and policy topicsin peer-reviewed journals conferences and other scientific proceedings.

Office Working Requirements

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 ofthree days per weekfrom 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.

The annual base pay (or hourly rate of compensation) for this position ranges from $176.67760 -$265.01640 USD Annual either as annual basepayor as the hourly rate (annual base pay divided by 2080 hours). Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and addition our positions offer a short-term incentive bonus opportunity; eligibility toparticipatein our equity-based long-term incentive program (salaried roles) to receive a retirement contribution (hourly roles) and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program 401(k) plan; paid vacation and holidays; paid leaves; and health benefits including medical prescription drug dental and vision coveragein accordance withthe terms and conditions of the applicable plans.Additionaldetails of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired employee will be in an at-will position and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.

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..

#EAI