IT Project Manager - AI/Clinical Analytics / Project Manager

IT Project Manager - AI/Clinical Analytics

Location: Boston (Remote)

Role Overview

The IT Project Manager - AI/Clinical Analytics oversees the full delivery lifecycle of AI-enabled products and IT initiatives, partnering with cross-functional teams to bring solutions from ideation through to production. This role combines technical delivery expertise with clinical and regulatory awareness across pharmaceutical, biotech, and healthcare environments.

Responsibilities

• Manages the full delivery lifecycle of AI-enabled products and features, partnering with data science, engineering, and product teams from ideation through to production release.
• Coordinates model development, validation, and deployment milestones for AI/ML initiatives, including data readiness, testing, and ongoing monitoring plans.
• Leads implementation and enhancement projects for clinical analytical solutions (e.g. clinical reporting/dashboarding platforms and statistical computing environments), working closely with clinical operations, medical reviewers, and data management stakeholders.
• Translates clinical and scientific requirements into actionable project plans in partnership with clinical and cross-functional teams.
• Ensures AI and clinical analytics projects meet applicable data privacy, data integrity, and regulatory/compliance requirements, including 21 CFR Part 11, GDPR, and HIPAA where applicable.
• Leads the end-to-end delivery of broader IT projects, including scope definition, planning, resourcing, budgeting, execution, and closeout, applying Agile, Waterfall, or hybrid methodologies as appropriate.
• Develops and maintains detailed project plans, schedules, RACI, RAID logs, and status reports for stakeholders and leadership.
• Identifies, tracks, and mitigates project risks and issues, escalating appropriately and driving resolution, while managing project budgets, forecasts, and vendor/contract commitments.
• Coordinates cross-functional teams across IT infrastructure, application development, data/analytics, and QA, and facilitates governance activities such as steering committee updates, change control, and stage-gate reviews.
• Ensures projects adhere to IT change management, validation, and documentation standards (including GxP/SDLC requirements), and manages vendor and system integrator relationships, including SOWs and performance tracking.

Requirements

• Holds a Bachelor's degree in Information Technology, Computer Science, Life Sciences, or a related field (an advanced degree is a plus). PMP, PMI-ACP, CSM, or an equivalent project management certification is preferred.
• Brings 5+ years of experience managing IT projects, including infrastructure, applications, or data/analytics initiatives, with strong knowledge of project management methodologies (Agile, Waterfall, hybrid) and tools (e.g. Smartsheet, Asana).
• Has demonstrated experience managing AI or machine learning product initiatives from development through to deployment, with familiarity in model validation, MLOps concepts, and responsible AI/data governance principles.
• Is proficient in using AI tools (e.g. Claude, ChatGPT, Gemini) to support project work.
• Has experience with clinical analytical solutions or platforms (e.g. clinical data management, clinical reporting, or dashboards) within a pharmaceutical, biotech, or healthcare setting. Industry experience in pharma/biotech/life sciences is strongly preferred.
• Has an understanding of clinical data standards and systems (e.g. EDC, CTMS) and the regulatory landscape governing clinical analytics (preferred).
• Demonstrates excellent communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences, alongside strong analytical, problem-solving, and sound judgement under ambiguity.
• Brings vendor and budget management experience. Experience with Spotfire, Maxis AI, Veeva, and BOX applications is preferred.