Workplace AI Transformation Manager
The Workplace AI Transformation Manager plays a critical role in identifying, shaping, and prioritising high-value Workplace AI opportunities that can transform the employee experience. This role partners with business functions to reimagine processes and rethink ways of working. Join us to redefine how people work, collaborate, and thrive—leveraging AI to create a more productive, innovative, and human-centered workplace.
Typical Accountabilities
- Identify and Shape AI Opportunities:Analyse business processes to uncover inefficiencies, bottlenecks, and opportunities for AI-driven improvement across collaboration and productivity workflows.
- Design Future-Ready Workflows:Partner with business stakeholders to reimagine ways of working, embedding AI, automation, and digital tools into process design.
- Facilitate Envisioning and Design Thinking Workshops:Lead collaborative sessions to generate ideas, prioritise use cases, and co-create solutions that deliver tangible business value.
- Define Frameworks for Use Case Assessment:Establish structured approaches for evaluating feasibility, risk, and value of AI use cases, ensuring alignment with governance.
- Drive Process Optimisation and Buy-In:Work with business functions to redesign processes, secure stakeholder commitment, and ensure co-creation of solutions.
- Measure Outcomes and ROI:Define success metrics and capture measurable outcomes from re-engineered processes to support scaling decisions.
- Champion Responsible AI Adoption:Promote a culture of innovation and responsible experimentation, ensuring that AI solutions are ethical, secure, and aligned with enterprise standards.
Technology Scope
- AI platforms (Microsoft Copilot, Copilot Studio, Google AgentSpace, Azure OpenAI, conversational agents)
- Workplace collaboration tools
Education, Qualifications, Skills and Experience
Essential
- Proven experience in business process analysis, management consulting, digital transformation, or AI-driven change optimisation.
- Strong understanding of AI technologies, workplace collaboration platforms, and process mapping techniques.
- Skilled in strategic thinking, change management, design thinking, process optimisation, and stakeholder facilitation.
- Ability to define value measurement frameworks and ROI models.
- Excellent communication, influencing, and stakeholder management skills.
- Experience working in an international, multi-time zone support environment.
- Comfortable with and excited to solve ambiguous problems.
Desirable
- Familiarity with organising federated innovation models and flexible operating models that can keep up with the pace of AI change.
- Experience in governance and risk assessment for AI solutions.
- Background in large-scale enterprise or regulated environments.
- Familiarity with agile project management and ways of working.
Why Join Us?Step into a pivotal role where you’ll help redefine the employee experience at AstraZeneca by partnering with colleagues to drive productivity, collaboration, and innovation. By leveraging AI-powered solutions, you’ll empower employees to work smarter and more creatively, giving them the tools and confidence to thrive in a rapidly evolving workplace. Work alongside passionate colleagues, shape the future of work, and see your ideas come to life at scale. If you thrive on strategic transformation, design thinking, and pioneering AI adoption, you’ll find this role both challenging and deeply rewarding.
Date Posted
23-ene-2026Closing Date
14-feb-2026AstraZeneca 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.
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