Senior AI Technical Project Manager

Client Job Title: Senior AI Technical Project Manager
Duration: 6 months
Location: Bridgewater, NJ
$109-114/Hr.


The Senior AI Technical Project Manager will lead the delivery of multiple concurrent AI and AI-agent implementation initiatives from approved concept through prototype, testing, production readiness, deployment, and transition to support. This role requires strong technical project management expertise, Agile/Scrum delivery experience, and a working understanding of AI, Generative AI, enterprise technology, security, data, and governance.

• Manage delivery of up to four concurrent AI and AI-agent implementation initiatives from approved concept through prototype, testing, production readiness, deployment, and transition to support.
• Develop and maintain clear project plans, milestones, sprint goals, dependencies, resource requirements, risks, issues, decisions, and success criteria for each initiative.
• Lead approximately 8-week AI implementation cycles using Agile/Scrum methodologies, with short iterative sprints focused on rapid prototyping, demonstrations, testing, feedback, and refinement.
• Facilitate daily standups, sprint planning, backlog refinement, sprint reviews/demos, retrospectives, and other delivery working sessions with internal teams and external vendors.
• Partner with business and technology leaders to translate prioritized AI ideas into actionable backlogs, user stories, technical tasks, acceptance criteria, and implementation plans.
• Maintain strong PMI-based project management discipline across scope, schedule, risk, stakeholder management, governance, change control, financial tracking, and project closure.
• Maintain RAID logs, action logs, decision logs, project status reports, sprint/release plans, and other required IT PMO and SDLC artifacts.
• Proactively identify blockers, dependencies, resource constraints, and delivery risks and drive them to resolution or timely escalation.
• Coordinate closely with AI architects, enterprise applications, integration teams, data teams, infrastructure/cloud, cybersecurity, privacy, and other technical stakeholders.
• Ensure Architecture, Cybersecurity, Privacy, AI Governance, data, and other required reviews are initiated early and progress in parallel with solution prototyping and development.
• Apply a strong technical understanding of AI agents, Generative AI, orchestration, APIs, integrations, enterprise data, identity and access, security, testing, monitoring, and production support to effectively drive technical work to completion.
• Facilitate technical discussions, document key decisions, confirm accountable owners, and ensure resulting actions are completed.
• Manage external vendors and implementation partners, including deliverables, dependencies, commitments, SOW expectations, timelines, and performance issues.
• Hold internal and external teams accountable for sprint commitments, deliverables, decisions, and agreed-upon dates.
• Coordinate iterative business testing and demonstrations throughout the implementation cycle rather than relying solely on end-of-project validation.
• Support SIT, UAT, defect triage, solution evaluation, production-readiness reviews, cutover, deployment, hypercare, and transition-to-support activities.
• Maintain clear visibility across the portfolio of concurrent AI initiatives and identify conflicts involving shared resources, technical dependencies, environments, or business priorities.
• Provide concise, action-oriented project updates to IT leadership, PMO, business sponsors, and other stakeholders.
• Ensure each AI initiative maintains clear business outcomes and measurable success criteria and that delivered capabilities are evaluated against those outcomes.
• Help establish and continuously improve a repeatable delivery model for moving AI ideas rapidly and responsibly from concept to working enterprise solutions.

• 7+ years of IT project management, program management, or technology delivery experience, preferably in complex enterprise environments.
• Demonstrated experience managing multiple concurrent technology initiatives with overlapping resources, dependencies, vendors, and stakeholders.
• Hands-on experience leading AI, Generative AI, AI-agent, intelligent automation, or similar emerging-technology implementations.
• Strong understanding of AI implementation concepts, including AI agents, LLMs, orchestration, APIs, integrations, enterprise data, retrieval/RAG, identity and access, testing, monitoring, and production support.
• Strong grounding in PMI project management principles, including scope, schedule, budget, risk, issue, dependency, stakeholder, vendor, change-control, and project-governance management.
• Strong Agile/Scrum delivery experience, including leading daily standups, sprint planning, backlog refinement, sprint reviews/demos, retrospectives, and iterative release cycles.
• Ability to manage approximately 8-week implementation cycles while maintaining short, iterative sprint cadences and rapid feedback loops.
• Experience translating business ideas and desired outcomes into executable delivery plans, prioritized backlogs, user stories, acceptance criteria, and measurable success criteria.
• Strong working knowledge of enterprise architecture concepts and the ability to engage effectively with architects, engineers, developers, and technical vendors.
• Familiarity with Cybersecurity, Privacy, AI Governance, data protection, authentication/authorization, third-party risk, and other controls relevant to enterprise AI implementations.
• Ability to identify architecture, security, data, integration, resource, and delivery dependencies early and drive required decisions and actions to completion.
• Experience managing external vendors and systems integrators, including SOW commitments, milestones, deliverables, dependencies, performance, and escalations.
• Strong experience with SIT, UAT, defect management, production-readiness reviews, cutover, deployment, hypercare, and transition to operational support.
• Strong facilitation skills with the ability to independently lead technical working sessions, business meetings, daily delivery meetings, and executive-level project discussions.
• Excellent organizational and follow-through skills, with a demonstrated ability to maintain accurate RAID logs, action logs, decision logs, sprint plans, status reporting, and project documentation.
• Ability to work effectively in a matrixed organization and drive accountability across teams without direct reporting authority.
• Strong problem-solving skills and comfort operating in an environment where requirements and technical solutions may evolve through prototyping and iterative testing.
• Excellent written and verbal communication skills, including the ability to translate technical issues into clear business impacts, decisions, and recommendations.
• Demonstrated ability to adapt quickly to established IT PMO, SDLC, governance, architecture, and organizational operating models.
• Experience with Jira and common project/portfolio management and collaboration tools such as Smartsheet, MS Project, ServiceNow, Microsoft Teams, SharePoint, or equivalent.
• PMP certification strongly preferred; PMI-ACP, Scrum Master, SAFe, or other Agile certification is a plus.
• Experience in pharmaceutical, biotechnology, life sciences, or another regulated environment is preferred.

• Bachelor's degree in Information Technology, Computer Science, Engineering, Business, Project Management, or a related field required.
• Master's degree in Information Technology, Business Administration, Engineering, or a related discipline is a plus.
• Equivalent combination of education and significant relevant experience in enterprise technology delivery may be considered.
• PMP certification strongly preferred.
• PMI-ACP, Certified ScrumMaster (CSM), SAFe, or similar Agile certification is a plus.
• AI, cloud, security, or enterprise architecture certifications are a plus but no