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.