Technical Product Management Specialist – AI Delivery

About the role

The Technical Product Management Specialist (AI Delivery Management) is an end-to-end delivery lead in the APEX E2E Delivery Management team at MSD's Prague tech center. You will lead small, well-defined AI engagements such as a proof of concept, pilot, single-team build or enhancement to an existing AI solution, and run workstreams within larger engagements under the guidance of a senior E2E Delivery Lead. The role suits someone who already knows how software is built, tested and released and wants to grow into AI delivery leadership.

Key responsibilities

• Lead small engagements end to end: confirm scope, set up the team, plan the work, track progress, validate results with users, support deployment, hand off to the run team and capture feedback.
• Run a workstream within a larger engagement, owning its plan, dependencies and status and reporting to the senior lead.
• Maintain the plan, RAID log and engagement page, and track effort and cost against the estimate.
• Organize demos of working software every two to three weeks, record feedback and hold the agreed input cutoff for each release.
• Coordinate SDLC activities: backlog and user stories, sprint planning, testing including user acceptance testing, release and hand-over documentation.
• Understand the main building blocks of the solutions delivered, such as generative AI assistants, retrieval, data pipelines and integrations, and check for reusable assets before new work starts.
• Apply the Build shop's standards for quality, security and responsible AI.
• Act as the day-to-day contact for customers, help run discovery activities and workshops, and coordinate developers, analysts and other specialists across teams.
• Post a weekly Jira update for each engagement with an honest confidence level and current risks, and follow APEX intake, prioritization and stage-gate practices.

Required profile

• University degree (Bachelor's or Master's) in Computer Science, Engineering, Information Systems, Data Science or a related field, or equivalent practical experience.
• At least 3 years in software, data or IT delivery roles such as developer, test engineer, business or systems analyst, scrum master or project coordinator, with direct involvement in delivering software to production.
• Working knowledge of the SDLC and agile delivery: backlog, sprints, testing, defect management, release and hand-over to support.
• Exposure to AI, machine learning, generative AI, automation or data projects.
• Strong organization, good communication and facilitation skills, and fluent written and spoken English.

Desirable

• Experience in a regulated (GxP) environment or in pharmaceutical or life sciences.
• Familiarity with Jira and Confluence.
• Agile or project management certification (e.g. PSM, PRINCE2 Foundation, CAPM).
• Experience with design thinking or process analysis.