Senior Project Manager | Princeton Pike, NJ

Senior Project Manager

Work Location: 50% onsite at Princeton Pike, NJ

12+ Months Contract

Phone/Skype

Position Summary:

We are seeking an experienced Project Manager to lead delivery of a large-scale, multi-region Foundational Data Transformation program migrating fragmented commercial pharma data warehouses onto a governed Databricks platform. The program consolidates enterprise data sources (sales, market access, patient services, omni-channel, and master data) into standardized, AI-ready data products across US, EU, and other global markets, and rebuilds existing analytics pipelines to new data modeling standards.

Key Responsibilities:

• Own the integrated program plan across workstreams and track delivery health, milestones, and velocity.

• Drive 2-week sprint cadence: sprint planning, daily stand-ups, sprint review/demo, and retrospectives; ensure user stories are logged, estimated, and tracked to “definition of done” in JIRA

• Lead cross-functional teams to deliver digital and IT initiatives that align with business and Digital Capability objectives.

• Manage project planning, execution, monitoring, and delivery for small- to medium-sized technology projects.

• Develop and maintain project plans, schedules, budgets, resource forecasts, and risk mitigation strategies.

• Monitor project performance, financial health, dependencies, risks, and issues, implementing corrective actions as needed.

• Provide regular project status updates and executive reporting to sponsors and stakeholders.

• Coordinate internal and external resources to ensure successful project execution.

• Manage vendor relationships, deliverables, budgets, and contractual commitments.

• Apply Agile, Waterfall, SDLC, and Project Management Framework (PMF) best practices to drive consistent project delivery.

• Promote continuous improvement and project management maturity across the organization.

Required:

• Bachelor’s degree in Information Technology, Business, Engineering, or related field.

• 5+ years of experience managing IT or digital projects.

• Hands-on experience running Agile/Scrum delivery at scale: sprint planning, backlog management, PI planning, sprint reviews, and retrospectives.

• Experience managing data platform or data warehouse migration programs (e.g., Databricks, Snowflake, or equivalent cloud data platforms).

• Proficiency with JIRA and Confluence for backlog management, RAID tracking, and documentation.

• Experience delivering projects in regulated industries, preferably pharmaceutical, biotechnology, healthcare, or life sciences.

• Strong project planning, budgeting, risk management, and stakeholder management skills.

• Experience managing vendors and cross-functional teams.

• Experience coordinating globally distributed teams across multiple time zones

Preferred:

• PMP, Agile, Scrum, or equivalent project management certification.

• Demonstrated experience managing programs in the pharmaceutical / life sciences industry, specifically within Commercial data & analytics (sales, market access, patient services, or omni-channel data domains).

• Experience with GxP, Computer System Validation (CSV), and SDLC processes.

• Familiarity with enterprise technologies, cloud platforms, data and analytics, or digital transformation initiatives.

• Experience managing offshore/onshore blended delivery teams

• High Energy is required and Commercial experience is preferred.

Skills:

• Agile and Waterfall methodologies

• Agile/Scrum facilitation (sprint ceremonies, backlog grooming, story pointing, velocity tracking)

• Program governance frameworks: RAID management, steering committee reporting, change control

• Risk and issue escalation management across multiple concurrent workstreams

• Stakeholder communication and executive presentation skills

• JIRA and Confluence administration and reporting

• Cross-regional and cross-cultural team coordination

• Working knowledge of data engineering/data platform concepts (ingestion, transformation, data quality, governance) sufficient to manage technical delivery teams

• Pharma/life sciences commercial data domain knowledge (sales operations, market access, patient support programs, omni-channel marketing data)

• Vendor/partner management in a multi-party delivery model

• Budget, timeline, and resource tracking across a multi-quarter engagement

• Project and financial management

• Leadership, collaboration, and problem-solving

• Adaptability: Flexibility to adapt to changing priorities and project requirements.

• Collaboration: Strong ability to work collaboratively with cross-functional teams and stakeholders.

• Attention to Detail: High level of attention to detail to ensure project deliverables meet quality standards.

• Continuous Improvement: Commitment to continuous learning and improvement of Agile practices and processes.