Be Part Of A Dynamic Team

Join an enterprise technology organization making a significant investment in AI agents and intelligent automation across business applications. The team is expanding an internal AI ecosystem and rolling out practical agent-based capabilities that support multiple functions across a highly regulated life-sciences environment.

This role will work closely with enterprise application leaders, business stakeholders, technical teams, and an experienced AI implementation partner to move defined AI-agent use cases from development through deployment and operational adoption. The environment combines fast, iterative delivery with the governance, validation, security, and quality expectations of a regulated organization.

What's In Store For You

• Primarily remote opportunity with onsite collaboration in Bridgewater, New Jersey approximately 2–3 times per month
  

• Initial contract expected to run for approximately six months, with potential for extension based on performance and continued AI-agent roadmap
  

• Engagement: W2 only (no C2C/1099)
  

• Initial ownership of two AI-agent implementations, with scope expected to expand to approximately four concurrent agents
  

• High visibility with Enterprise Applications leadership, PMO partners, technical stakeholders, and external implementation teams
  

• Opportunity to help shape a repeatable delivery model for future enterprise AI-agent initiatives
  

• Exposure to AI delivery within a highly regulated pharmaceutical / life-sciences environment
  

How You Will Make An Impact

• Drive delivery of multiple AI-agent initiatives from defined requirements through development, testing, implementation, deployment, hypercare, and transition to support.
  

• Initially manage two concurrent AI-agent implementations, with scope expected to grow to approximately four as the roadmap expands.
  

• Lead delivery using Agile methods, including daily Scrum meetings, sprint planning, backlog refinement, sprint reviews, demonstrations, retrospectives, and iterative feedback cycles.
  

• Maintain clear delivery plans, milestones, sprint goals, dependencies, resources, risks, issues, decisions, actions, and accountable owners.
  

• Partner with internal Enterprise Applications teams and external AI implementation partners to maintain delivery momentum and accountability.
  

• Coordinate work across architecture, integrations, data, cloud/infrastructure, cybersecurity, privacy, AI governance, quality, and business stakeholders.
  

• Ensure regulated delivery requirements, governance checkpoints, testing, documentation, approvals, and production controls are incorporated into project execution.
  

• Identify blockers, technical dependencies, resource constraints, and delivery risks early and drive them toward timely resolution.
  

• Translate defined business outcomes into actionable delivery plans, backlogs, user stories, technical tasks, and measurable success criteria.
  

• Hold internal teams and external vendors accountable for sprint commitments, deliverables, timelines, and agreed decisions.
  

• Support SIT, UAT, defect management, production readiness, cutover, deployment, hypercare, and transition-to-support activities.
  

• Provide concise, action-oriented updates to leadership, PMO stakeholders, technical teams, and business sponsors.
  

• Step into delivery gaps when needed rather than operating within a narrowly defined project-management role.
  

• Help continuously improve the operating model used to deliver future AI-agent initiatives.
  

Requirements

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

• 7+ years of IT project management, program management, or technology-delivery experience in complex enterprise environments.
  

• Demonstrated experience delivering AI, Generative AI, AI-agent, intelligent automation, or similar emerging-technology initiatives.
  

• Strong preference for candidates who have personally managed AI-agent development or rollout initiatives.
  

• Direct experience delivering technology programs within pharmaceutical, biotechnology, life sciences, or another GxP-regulated environment is strongly preferred.
  

• Experience working within regulated delivery models involving validation, quality controls, governance, change management, auditability, compliance, or formal release processes.
  

• Strong Agile/Scrum delivery experience, including hands-on facilitation of daily Scrum meetings, sprint planning, backlog refinement, reviews/demos, retrospectives, and iterative release cycles.
  

• Experience managing multiple concurrent technology initiatives with overlapping resources, dependencies, vendors, and stakeholders.
  

• Sufficient technical fluency to work effectively with architects, engineers, developers, data teams, security teams, and implementation partners.
  

• Working knowledge of AI-agent delivery concepts, APIs, integrations, enterprise data, identity/access, security, testing, monitoring, and production support.
  

• Strong experience managing risks, issues, dependencies, decisions, actions, and delivery accountability.
  

• Experience coordinating external vendors, implementation partners, SOW commitments, milestones, deliverables, and escalations.
  

• Strong communication, facilitation, and stakeholder-management skills.
  

• Ability to operate independently after onboarding and organizational orientation.
  

• Willingness to step beyond traditional PM responsibilities when delivery gaps need to be addressed.
  

• PMP certification strongly preferred.
  

• PMI-ACP, Certified ScrumMaster, SAFe, or similar Agile certification is a plus.
  

• Ability to travel onsite to Bridgewater, New Jersey approximately 2–3 times per month.