RPA Project Manager

RPA Project Manager

We are seeking a Senior Project Manager with a strong technical pedigree and proven experience leading Robotic Process Automation (RPA) and AI/ML initiatives in the Life Sciences industry. This is not a hands-on coding role but requires a proactive, results-driven leader who can bridge technical teams and business stakeholders. The ideal candidate will have experience driving complex automation and machine learning projects across cross-functional domains such as Clinical, Discovery, Finance, Tech Ops, and Development.

This individual will oversee a team of 5–9 contractors (including RPA developers and another RPA Project Manager), ensuring delivery of a cohesive automation and AI/ML portfolio aligned with strategic business objectives.

Key Responsibilities:

• Manage the end-to-end lifecycle of RPA and AI/ML initiatives across multiple business units.
• Engage with business stakeholders to gather and translate requirements into technical specifications.
• Oversee delivery teams (onshore/offshore) and ensure timely execution of automation solutions.
• Drive governance, prioritization, and strategic alignment of the RPA and AI/ML portfolio.
• Collaborate with internal IT, consultants, and developers to design and implement scalable automation solutions.
• Provide leadership and mentorship to project team members, ensuring high performance and accountability.
• Monitor and report on project milestones, KPIs, risks, and budgets to senior leadership.
• Champion best practices in digital transformation, innovation, and automation strategy.

Required Qualifications:

• 2+ years of hands-on experience managing AI/ML projects in the Life Sciences industry (required).
• 5+ years of experience in project management with a focus on RPA and intelligent automation.
• Strong understanding of automation platforms (e.g., UiPath, Automation Anywhere, Blue Prism) and ML frameworks.
• Demonstrated success managing cross-functional teams and technical vendors.
• Experience working with business process owners to evaluate and optimize workflows.
• Familiarity with regulatory and compliance considerations in life sciences (e.g., GxP, HIPAA).
• Excellent communication, stakeholder engagement, and organizational change management skills.

Preferred Skills & Traits:

• Solid grasp of AI/ML concepts, model lifecycle, and integration with RPA solutions.
• Experience leading global teams in a matrixed or outsourced delivery model.
• Ability to manage ambiguity, drive clarity, and make data-informed decisions.
• Agile, Scrum, or hybrid project delivery experience.
• PMP, PMI-ACP, or similar certification a plus.
• Prior background in clinical or R&D automation initiatives is highly desirable.