AI Project Manager

Job Summary

We are seeking a Project Manager to lead end-to-end delivery of AI/ML and Large Language Model (LLM) initiatives, bridging business objectives and technical execution for the Research & Development organization. This role operates within an Agile/Scrum environment and is accountable for delivering scalable, high-impact AI solutions and process redesign aligned to strategic priorities. The position serves as the central coordinator across business, technology and vendor teams, with full ownership of project health, execution, and outcomes.

Key Responsibilities

· Define project scope, objectives, success metrics and roadmap aligned to business goals including scope for MVP and POC execution

· Lead Agile/Scrum delivery, including sprint planning, backlog management, and release coordination

· Manage cross-functional internal teams and external vendors

· Ownership of end-to-end project health, including scope, timeline, budget, risks, and quality

· Translate business requirements into technical execution plans with clear milestones and prioritized backlogs

· Oversee delivery of AI/ML and LLM-based solutions and process change from use case definition through deployment of POC and MVP releases to full production implementation and scaling

· Monitor and mitigate risks related to data, model performance, integration, and delivery timelines

· Ensure alignment with regulatory, risk and change control (as applicable)

· Communicate progress, risks, and outcomes to stakeholders and executive leadership

• Help drive adoption of new ways of working

Qualifications & Experience

· 5-10+ years of project or program management experience in technology or data-driven initiatives

· Proven experience delivering AI/ML and LLM-based solutions in production environments

· Experience operating in Agile/Scrum environments with distributed, cross-functional teams

· Demonstrated ability to manage both internal engineering teams and external vendors

· Strong understanding of AI/ML concepts (e.g., data pipelines, model lifecycle, generative AI)

· Experience translating complex technical solutions into business outcomes

· Familiarity with data governance, privacy, and responsible AI considerations

· Excellent stakeholder management and executive communication skills

• A background in Research & Development or experience in clinical development projects