Principal Program Manager

Role overview

Program and stakeholder leadership

• Partners with operational, financial, clinical, and executive leaders to identify data-driven opportunities and prioritize initiatives.
• Leads large-scale cross-functional analytics programs from concept through delivery, managing concurrent programs, risks, dependencies, resources, timelines, and outcomes.
• Facilitates discovery and requirements workshops and translates business needs into epics, features, user stories, and acceptance criteria.
• Maintains prioritized backlogs and contributes to analytics roadmaps and long-term strategic plans.
• Leads sprint planning, backlog refinement, prioritization, and release planning; coordinates analysts, engineers, developers, and stakeholders.
• Improves delivery processes and team operating models and promotes agile practices and continuous improvement.

Quality, communication, and team support

• Oversees testing and validation of analytics products and reports, data integrity, and source-to-report accuracy; collaborates on resolving data quality issues.
• Communicates roadmap priorities, delivery status, risks, and outcomes to business leaders; coordinates training, adoption, and organizational change.
• Documents decisions, requirements, assumptions, and acceptance criteria; provides guidance and mentorship and supports professional development and knowledge sharing.

Qualifications

• Strong business acumen translating operational, financial, clinical, and executive needs into prioritized analytics initiatives.
• Excellent stakeholder management, facilitation, executive communication, business process analysis, and organizational influence.
• Conceptual understanding of data engineering, warehousing, integrations, cloud environments, privacy, security, and compliance.
• Expert understanding of Agile methods, backlog management, requirements elicitation, and product lifecycle management.
• Experience collaborating with operations teams, analysts, data engineers, and business stakeholders on enterprise-scale data programs.
• Expert working knowledge of development tracking, collaboration, and roadmapping tools such as Jira, Confluence, Lucid, and Miro.
• Experience using AI and LLM tools to enhance team operations and delivery; strong risk, dependency, and change management skills.
• Excellent written and verbal communication and ability to manage concurrent activities.

Preferred experience

• Nice to have: coding experience in SQL, Python, or similar languages.
• Nice to have: Azure data solutions such as Fabric or Databricks, and visualization tools such as Power BI or Tableau.
• Nice to have: finance or healthcare data subject matter expertise.