IT Project Manager – AI/Clinical Analytics / Project Manager

Accountabilities:

• Manage the full delivery lifecycle of AI-enabled products and features, coordinating data science, engineering, and product teams from ideation through production release.
• Coordinate AI/ML development, validation, and deployment milestones, including data readiness, testing, monitoring, and ongoing model management.
• Lead implementation and enhancement projects for clinical analytics solutions, including clinical reporting, dashboarding platforms, and statistical computing environments.
• Translate clinical and scientific requirements into actionable project plans in collaboration with clinical operations, medical reviewers, data management, and other stakeholders.
• Ensure AI and clinical analytics initiatives comply with applicable data privacy, data integrity, and regulatory requirements, including 21 CFR Part 11, GDPR, and HIPAA.
• Lead end-to-end IT projects covering scope, planning, resourcing, budgeting, execution, risk management, and project closeout using Agile, Waterfall, or hybrid methodologies.
• Develop and maintain project plans, schedules, RACI matrices, RAID logs, status reports, and other governance documentation.
• Identify, track, and mitigate project risks and issues, escalating appropriately and driving timely resolution.
• Manage project budgets, forecasts, vendor commitments, and contractual deliverables.
• Coordinate teams across IT infrastructure, application development, data and analytics, and quality assurance.
• Facilitate governance activities including steering committee updates, change control, and stage-gate reviews.
• Ensure projects follow IT change management, validation, documentation, GxP, and SDLC standards.
• Manage vendor and system integrator relationships, including statements of work, deliverables, and performance tracking.

Requirements:

• Bachelor’s degree in Information Technology, Computer Science, Life Sciences, or a related field; an advanced degree is a plus.
• 5+ years of experience managing IT projects across infrastructure, applications, data, or analytics, with strong knowledge of Agile, Waterfall, and hybrid methodologies.
• Experience using project management tools such as Smartsheet, Asana, or similar platforms.
• Demonstrated experience managing AI or machine learning initiatives from development through deployment, including familiarity with model validation, MLOps concepts, and responsible AI and data governance principles.
• Proficiency using AI productivity tools such as Claude, ChatGPT, or Gemini to support project planning and delivery.
• Experience with clinical analytical solutions or platforms within pharmaceutical, biotech, healthcare, or broader life sciences environments.
• Familiarity with clinical data standards and systems such as EDC and CTMS, as well as the regulatory environment governing clinical analytics.
• Strong understanding of data privacy, validation, compliance, and regulated technology environments.
• Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts for non-technical audiences.
• Strong analytical, problem-solving, prioritization, and decision-making skills, particularly when working through ambiguity.
• Experience managing vendors, budgets, forecasts, and project commitments.
• Experience with Spotfire, Maxis AI, Veeva, and BOX is preferred.
• PMP, PMI-ACP, CSM, or an equivalent project management certification is preferred.

Benefits:

• National U.S. salary range of $90,937–$118,062 per year, with actual compensation based on factors such as experience, location, training, market conditions, and business needs.
• Competitive pay and performance-based incentive programs.
• Company-paid life insurance and short- and long-term disability coverage.
• Medical, dental, and vision insurance.
• Flexible Spending Account, dependent care, and commuter benefits.
• Supplemental life, hospital, critical illness, and legal insurance.
• Health Savings Account.
• 401(k) retirement plan with employer matching.
• Paid time off with rollover options, company holidays, and as-needed sick time.
• Tuition reimbursement.
• Paid parental leave and bereavement leave.
• Employee recognition and referral programs.
• Team social activities and a people-focused culture.
• Opportunity to work in a high-growth, fast-paced environment within the life sciences and healthcare technology sector.