AstraZeneca · 19 hours ago
Axial AI Governance Director
US - Wilmington - DE
Full-time
Hybrid
Director/Executive
$153K/yr - $230K/yrAstraZeneca is a mission-led, fast-growing organization focused on leveraging AI to accelerate scientific progress and deliver medicines to patients worldwide. The Axial AI Governance Director will lead the design and implementation of an AI Governance Framework, ensuring safe, compliant adoption of AI while balancing innovation with risk management.
BiopharmaBiotechnologyHealth CareMedicalPharmaceuticalPrecision Medicine
Responsibilities
Lead the design and rollout of a comprehensive AI Governance Framework, defining goals, roadmap, and alignment with global AI and data governance strategies to accelerate safe, compliant adoption
Define, monitor, and remediate policies and standards for Generative and Agentic AI and broader AI systems, including control libraries, risk tiers, and exception handling processes that reduce risk while enabling innovation
Apply deep expertise to resolve complex AI governance challenges, establish demand routing, and influence strategic decisions that shape enterprise-wide AI use
Set direction and manage AI Governance forums and cross-functional working groups to drive cohesive, timely decision-making and accountability
Design and implement policies balancing benefit and risk, working with privacy, legal, security, and ethics partners to ensure appropriate controls and monitoring for AI data access and usage
Prepare for audits and partner with governance forums to sustain compliance with evolving AI regulations, demonstrating control effectiveness and continuous improvement
Lead responses to AI-related incidents, including root cause analysis, remediation planning, and lessons learned, strengthening resilience and reducing recurrence
Define the approach and drive execution of compliance checks to verify adherence to policy, and report outcomes to collaborators to advise action
Identify, report, and act upon AI data risks, ensuring issues are surfaced early and addressed decisively
Develop and implement strategies that enable safe experimentation and testing of AI models while protecting critical data assets and intellectual property
Work with product and engineering to seamlessly embed governance into build and deployment pipelines, enabling rapid, compliant scaling of new AI capabilities
Manage the catalog of approved AI agents, models, and components to improve reuse, transparency, and quality across programs
Govern enablement of connectors and external AI tools in close consultation with Architecture, Product, and Engineering to mitigate integration risk and ensure value
Champion adoption of governance technologies such as automated policy enforcement and AI risk monitoring to improve oversight and efficiency
Lead cross-functional development of AI-specific data standards, including conceptual models, glossaries, and ontologies, to improve consistency and interoperability
Define data quality strategy and metrics for AI-ready data and AI outputs, ensuring continuous measurement and reporting to partners
Establish procedures to govern each AI model and associated data asset across its full lifecycle, from design to retirement, ensuring traceability and accountability
Build and maintain dashboards to monitor compliance, risk posture, and control effectiveness, enabling leadership insight and timely intervention
Provide deep subject matter expertise to internal collaborators, influencing program and project direction to achieve compliance and mitigate high-level risks
Lead change and improvement initiatives for AI literacy and compliance, devising communication, training, and support strategies that embed responsible AI into everyday practices
Qualification
Required
Proven ability to design and implement an AI Governance Framework aligned to global AI and data governance strategies, goals, and roadmap
Experience defining, monitoring, and remediating AI policies and standards for Generative and Agentic AI and broader AI systems, including control libraries, risk tiers, and exception handling
Deep subject matter expertise to address complex AI governance challenges, establish demand routing, and influence strategic decisions
Experience leading AI Governance forums and cross-functional working groups to drive cohesive decision-making
Demonstrated capability to design and implement AI policies that balance benefit and risk for responsible use across internal and external contexts
Collaboration with privacy, legal, security, and ethics functions to establish controls for AI data access and usage, including monitoring mechanisms
Audit readiness and sustained compliance with evolving AI regulations through partnership with governance forums
Leadership in AI-related incident response, root cause analysis, remediation planning, and lessons learned documentation
Defining and driving compliance checks ensuring AI processes adhere to policy, with effective reporting and action
Identifying, reporting, and acting upon AI data risks to reduce exposure and enhance resilience
Developing and implementing environment management strategies for safe experimentation and model testing while protecting critical data assets
Embedding governance into product and engineering build and deployment processes to enable rapid, compliant scaling
Managing a solution catalog to improve reuse and transparency of approved AI agents, models, and components
Governing connector enablement and external AI tool usage in close consultation with Architecture, Product, and Engineering
Championing governance technology solutions such as automated policy enforcement and AI risk monitoring tools
Leading development of AI-specific data standards, conceptual models, business glossaries, and ontologies for AI-driven solutions
Defining data quality strategy and metrics for AI-ready data and AI outputs with continuous reporting
Establishing effective lifecycle governance procedures for AI models and associated data assets
Building dashboards and reporting mechanisms to monitor compliance, risk posture, and control effectiveness
Providing subject matter expertise to influence AI programs, projects, and services to achieve compliance and mitigate high-level risks
Leading communication, training, and support strategies to improve AI literacy, culture, and compliance
Preferred
Experience operationalizing automated policy enforcement and AI risk monitoring technologies at enterprise scale
Track record of partnering with product, engineering, and architecture to embed governance in modern delivery pipelines
Expertise in developing business glossaries and ontologies that improve interoperability across complex data landscapes
Background in designing metrics and dashboards that turn compliance and risk data into clear, actionable insights
History of leading change initiatives that raise AI literacy and embed responsible AI behaviors across diverse partner groups
Benefits
Qualified retirement programs
Paid time off (i.e., vacation, holiday, and leaves)
Health, dental, and vision coverage in accordance with the terms of the applicable plans
Company
AstraZeneca
AstraZeneca is a pharmaceutical company that discovers, develops, manufactures, and markets prescription medicines. It is a sub-organization of Investor.
Founded in 1999
10001+ employees
H1B Sponsorship
AstraZeneca has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (2)
2020 (11)
Funding
Current Stage
Public CompanyTotal Funding
$5.26B2024-07-30Post Ipo Debt· $1.51B
2023-02-28Post Ipo Debt· $2.25B
2023-02-24Post Ipo Debt· $1.5B
Leadership Team
Pascal Soriot
Executive Director and Chief Executive Officer
Aradhana Sarin
Group CFO and Executive Director
Recent News
Essential Business
2026-01-24
2026-01-23
Company data provided by crunchbase