Technical Product Management Specialist

Job Description Job Description: The Specialist, AI Delivery Management is an E2E Delivery Lead in the APEX E2E Delivery Management team, based at our Prague tech center. You will lead small, well-defined AI engagements end to end, such as a proof of concept, a pilot, a single-team build or an 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. You will plan the work, coordinate the build team, track risks and progress, and keep the customer informed, while building the judgment to lead larger engagements over time. Key Responsibilities: 1.Delivery Execution • 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 the feedback, and hold the agreed input cutoff for each release. 2.Technical and SDLC Coordination • Coordinate SDLC activities: backlog and user stories, sprint planning, testing including user acceptance testing, release and hand-over documentation, following the SDLC and validation process where it applies. • Understand the main building blocks of the solutions you deliver, such as generative AI assistants, retrieval, data pipelines and integrations, well enough to follow technical discussions, ask the right questions and spot issues to escalate. • Check for reusable assets before new work starts, and apply the Build shop's standards for quality, security and responsible AI. 3.Customer & Team Collaboration • Act as the day-to-day contact for customers on your engagements, keeping them informed and involved. • Help run discovery activities and workshops that clarify the problem and the requirements, with support from Mosaic for business analysis and UX. • Coordinate developers, analysts and other specialists from Mosaic, the Build shop and other teams, and follow up on actions and dependencies. 4.Governance & Learning • Post a weekly Jira update for each engagement, with an honest confidence level and current risks. • Follow APEX intake, prioritization and stage-gate practices, and raise risks and blockers early. • Build your skills in delivery, product management and AI technology through training, coaching and shadowing senior leads. Required Experience and Skills: Essential: • 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 and follow-through in planning and in tracking actions, dependencies and risks. • Good communication and facilitation skills, and the confidence to work directly with business customers. • Fluent English, written and spoken. Desirable: • Experience in a regulated (GxP) environment or in pharmaceutical or life sciences. • Familiarity with Jira and Confluence. • Agile or project management certification (for example Professional Scrum Master, PRINCE2 Foundation or CAPM). • Experience with design thinking or process analysis. Additional location(s) Compensation Information: Required Skills: Artificial Intelligence (AI), Atlassian JIRA, Computer Science, Data Engineering, Data Science, Data Visualization, Design Analysis, Design Applications, Design Thinking, Generative AI, High-Level Data Link Control (HDLC), Information Systems, MOSAIQ, Product Delivery, Shipping Software, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, System Integration, Testing, User Acceptance Testing (UAT) Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: No relocation VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Hybrid Shift: Not Indicated Valid Driving License: No Hazardous Material(s): n/a Job Posting End Date: 11/27/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.