AI/Digital Project Manager- Healthcare and Life Sciences
Elkridge
Thursday, 04 June 2026
Serve as Project Manager (Scrum Master) for AI and digital initiatives, facilitating agile ceremonies including sprint planning, stand-ups, backlog refinement, reviews, and retrospectives. Partner with product owners, technical teams, and business stakeholders to translate operational needs into clear priorities, sprint goals, and MVP deliverables. Support early-stage AI proof-of-concept and MVP work Help teams manage delivery risks, dependencies, blockers, and stakeholder expectations in a fast-moving, ambiguous environment. Embed with local/site-based teams to ensure AI and digital solutions are practical, adopted, and aligned to real operational needs. Coordinate across business, data, engineering, cybersecurity, compliance, and governance teams to support responsible AI delivery. Promote awareness of key AI delivery considerations, including data access, latency, compute constraints, cybersecurity risks, and model reliability. Improve team ways of working by encouraging agile discipline, transparency, accountability, and continuous i Qualifications. Required Qualifications Experience as a Digital Project Manager, Scrum Master, Agile Delivery Lead, or similar role. Strong understanding of agile methodologies, including Scrum and/or Kanban. Experience supporting digital, data, AI, software, or technology-enabled project teams. Ability to work effectively with cross-functional teams, including business stakeholders, technical teams, product owners, and leadership. Strong facilitation, communication, and stakeholder management skills. Comfortable operating in ambiguous, early-stage project environments. Ability to help teams move from concept to proof of concept to MVP. Willingness and ability to work locally and closely with site-based teams. Full-time, on-site availability. Preferred Qualifications Prior experience supporting AI, machine learning, data science, automation, or advanced analytics teams. Experience working in a controlled/regulated environment such as pharmaceutical, biotech, healthcare, manufacturing, or operations. Understanding of data governance, cybersecurity, AI risk, or responsible AI principles. Experience helping teams adopt agile practices in environments where agile is still maturing. Scrum certification such as CSM, PSM, SAFe Scrum Master, or similar. Experience with program management tools such as Jira, Azure DevOps, Confluence, Miro, Microsoft Teams, or similar collaboration platforms.