Senior AI Implementation Program Manager 3668523

Be Part Of A Dynamic Team

Join a technology organization within a growing biopharmaceutical environment that is accelerating the practical use of artificial intelligence across the enterprise. This role will work closely with business leaders, AI architects, application teams, data, cloud infrastructure, cybersecurity, privacy, governance teams, and implementation partners to move high-priority AI ideas rapidly and responsibly from concept into production.

The environment combines rapid experimentation with the controls expected of an enterprise and regulated organization, making this an opportunity for someone who understands how to maintain delivery speed without sacrificing governance, security, reliability, or measurable business outcomes.

What’s In Store For You

• Full-time onsite opportunity in Bridgewater, New Jersey
• Engagement: W2 only (no C2C/1099)
• High-visibility role supporting enterprise AI and AI-agent implementations
• Opportunity to manage multiple AI initiatives simultaneously from concept through production
• Exposure across AI architecture, enterprise applications, cloud, integrations, cybersecurity, privacy, data, and AI governance
• Opportunity to help establish a repeatable delivery model for rapidly implementing enterprise AI solutions

How You Will Make An Impact

• Manage up to four concurrent AI and AI-agent implementations from approved concept through prototype, testing, deployment, hypercare, and transition to operational support.
• Lead approximately eight-week implementation cycles using short Agile/Scrum sprints focused on rapid prototyping, demonstrations, testing, feedback, and refinement.
• Build and maintain detailed project plans covering milestones, dependencies, resources, risks, issues, decisions, sprint goals, and measurable success criteria.
• Facilitate daily standups, sprint planning, backlog refinement, sprint reviews, demonstrations, retrospectives, and technical delivery sessions.
• Translate business objectives into prioritized backlogs, user stories, technical activities, acceptance criteria, and implementation plans.
• Coordinate AI architects, application teams, data engineering, integration, cloud infrastructure, cybersecurity, privacy, and external implementation partners.
• Ensure Architecture, Security, Privacy, AI Governance, and data reviews begin early and progress alongside solution development.
• Manage RAID logs, decision logs, action tracking, sprint/release planning, status reporting, financial tracking, and required PMO/SDLC documentation.
• Coordinate SIT, UAT, defect triage, production-readiness reviews, cutover, deployment, hypercare, and support transition.
• Manage vendor commitments, SOW deliverables, timelines, dependencies, performance issues, and escalations.
• Identify portfolio-level conflicts involving shared resources, environments, integrations, technical dependencies, and business priorities.
• Provide concise and action-oriented updates to technology leaders, business sponsors, PMO stakeholders, and executive audiences.
• Help develop a scalable delivery framework for taking AI ideas from concept to secure, supportable enterprise solutions.

Are You an Experienced AI Technology Delivery Professional Ready to Make an Impact?

• 7+ years of IT project management, program management, or technology-delivery experience in complex enterprise environments.
• Demonstrated hands-on delivery experience with AI, Generative AI, AI agents, intelligent automation, or comparable emerging technologies .
• Working understanding of AI agents, LLMs, orchestration, APIs, enterprise integrations, data, retrieval/RAG, identity and access, testing, monitoring, and production support.
• Strong Agile/Scrum delivery experience including sprint planning, backlog refinement, standups, demonstrations, retrospectives, and iterative releases.
• Proven ability to translate business ideas into actionable backlogs, user stories, acceptance criteria, implementation plans, and measurable outcomes.
• Strong PMI-based project-management fundamentals across scope, schedule, budget, governance, change management, risks, dependencies, and stakeholders.
• Experience managing multiple overlapping technology implementations with shared resources and technical dependencies.
• Strong experience with SIT, UAT, defect management, production readiness, cutover, deployment, hypercare, and transition to support.
• Experience managing implementatio…