Workplace AI Enablement Lead

Job Purpose

The Workplace AI enablement Lead is pivotal in enabling AstraZeneca’s vision for a scalable, business-empowered, and well-governed Workplace AI ecosystem. You will lead the design, delivery, and scaling of AI pilots and frameworks, ensuring that business teams across the enterprise can rapidly and responsibly build, deploy, and manage AI agents that transform how we work.

Typical Accountabilities

• Scope and Design Workplace AI Frameworks
  Develop and continuously improve the frameworks, processes, and guardrails that enable business and technical teams to build, test, and scale AI agents efficiently and securely, in line with the Agent Factory operating model
• Plan and Oversee Delivery of AI Pilots
  Lead the execution of workplace AI pilots and proof-of-concepts, ensuring they are well-scoped, time-bound, measurable, and designed for production-readiness and business value.
• Empower Business Teams
  Enable and upskill business functions and federated squads to become self-sufficient in AI agent development, providing guidance, training, and access to the right tools and environments.
• Establish Governance and Enablement Processes
  Implement robust governance, risk assessment, and reporting mechanisms to ensure compliance, security, and reusability of AI agents and connectors across the enterprise.
• Manage Cross-Functional Delivery Squads
  Lead and coordinate agile, multi-disciplinary teams to deliver pilots and frameworks, fostering a culture of responsible experimentation, reuse, and continuous improvement.
• Maintain a Pipeline of AI Opportunities
  Identify, prioritise, and manage a pipeline of high-value workplace AI use cases, balancing quick wins with strategic, longer-term bets.
• Champion Standards and Best Practice
  Drive adoption of standardised patterns, shared training assets, and reusable components to maximise impact, avoid duplication, and accelerate business transformation.

Technology Scope

• AI agent platforms (e.g., Microsoft Copilot, Copilot Studio, Azure OpenAI, Google AgentSpace, conversational agents)
• Agent operating model and governance frameworks
• Workplace collaboration tools integrated with AI
• Automation and agent-based workflows
• Connector enablement and lifecycle management
• Analytics and observability tools for agent usage and value measurement

Education, Qualifications, Skills and Experience

Essential

• Proven experience in workplace AI, automation, or digital transformation initiatives
• Strong understanding of AI agent technologies, frameworks, and governance
• Ability to design and implement scalable processes and enablement models
• Skilled in project management, agile delivery, and cross-functional team leadership
• Excellent communication and stakeholder engagement skills
• Familiarity of working in an international, multi-time zone support environment.  

Desirable

• Experience with federated innovation models and citizen development
• Familiarity with connector governance, risk management, and compliance
• Background in large-scale enterprise or regulated environments

Why Join Us?

This is your opportunity to shape the future of work at AstraZeneca by building the frameworks, processes, and culture that will empower the business to harness Agentic capabilities at scale. If you’re passionate about enabling innovation, driving adoption, and delivering real impact, this role is for you.

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.