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AI​/Digital Project Manager- Healthcare and Life Sciences

Job in Elkridge, Howard County, Maryland, 21075, USA
Listing for: SIA
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Science Manager, AI Engineer (Applied/Software), IT Project Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

AI/Digital Project Manager
- Healthcare and Life Sciences

Full-time

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity.

With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Sia’s Life Science and Healthcare Business Unit
, Sia/LBG, focuses on supporting the life sciences and healthcare industries with strategic consulting, product development and non-dilutive funding expertise. This consulting division works with healthcare organizations, pharmaceutical & biotech companies, CROs, academia, medical device/diagnostic companies, and non-governmental organizations (NGOs) alike to solve complex business, scientific, regulatory, technological and product development challenges. Our subject matter experts help advance our clients' products and programs;

supporting these companies—both large and small—to achieve organizational objectives and create tangible value for their stakeholders.

Sia/LBG is seeking an experienced AI/Digital Project Manager/Scrum Master to support early-stage AI and digital initiatives across operational teams at a client’s manufacturing site. This role will help guide agile delivery for proof‑of‑concept and MVP projects involving emerging technologies involving AI‑enabled tools.

Key Responsibilities
  • 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 improvement.
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 certifications such as CSM, PSM, SAFe Scrum Master, or similar.
  • Experience with program management tools such as Jira, Azure Dev Ops, Confluence, Miro, Microsoft…
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