Principal Product Lead

Analytica is seeking an experienced Principal Product Lead to shepherd the operation modernization and continuous evolution of a key CMS data platform that serves the enterprise ecosystem for data analytics interoperability artificial intelligence and data sharing. This strategic leadership role is responsible for driving product vision roadmap execution stakeholder alignment and measurable business outcomes across the program.

The Principal Product Lead will function as a business-driven enterprise platform that delivers trusted data self-service analytics public reporting capabilities APIs enterprise data sharing metadata maturity and responsible AI adoption.

This individual will serve as the primary liaison between business stakeholders executive leadership and technical delivery teams while guiding platform investments and ensuring alignment with CMS strategic priorities.

Analytica has been recognized byInc. Magazineas one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health civilian and national security missions to build better technology products thatimpactour day-to-day lives. The company offers competitive compensation with opportunities for bonuses employer-paid health care training and development funds and 401kmatch.

• Own and execute theproduct vision strategy and multi-year roadmap.
• Lead intake prioritization governance and investment decisions for platform enhancements new capabilities and modernization initiatives.
• Align product priorities across CMSdivisions teams data owners and executive stakeholders.
• Define and measure product success through key performance indicators adoption metrics business outcomes and value realization.
• Coordinate and sequence work across engineering architecture data management analytics AI interoperability and operations teams.
• Facilitate product decision-making and drive alignment among diverse stakeholder groups.
• Promote adoption of trusted data products APIs self-service analytics and AI-driven capabilities.
• Lead Program Increment (PI) planning and priority setting in partnership with Agile Product Data Engineering and Architecture leadership.
• Establish product governance frameworks and performance measures aligned with CMS strategic objectives.
• Translate business needs into actionable product roadmaps requirements and delivery plans.
• Serve as the primary product advocate and liaison between technical teams and business stakeholders.
• Drive continuous improvement efforts that enhance platform usability accessibility scalability and business value.
• Support responsible AI adoption data governance and enterprise interoperability initiatives.

• Bachelors degree in Information Systems Computer Science Data Analytics Engineering Public Health Business Administration or a related field.
• Masters degree preferred.

• 12 years of experience leading large-scale federal technology data analytics cloud or platform modernization programs.
• 7 years of experience serving in Product Management leadership roles including Product Manager Product Director Product Owner or equivalent.
• Proven experience managing enterprise data analytics AI cloud or digital platform products.
• Experience working within Agile and SAFe delivery environments.
• Demonstrated success supporting executive stakeholders and complex multi-organizational governance structures.
• Experience translating business objectives into prioritized product roadmaps and measurable outcomes.
• Experience leading cross-functional teams across engineering data analytics architecture and operations disciplines.
• Strong stakeholder management facilitation strategic planning and communication skills.

• Experience supportingMedicaid other federal healthcare data initiatives.
• Experience with enterprise analytics platforms Databricks ecosystems or large-scale data product environments.
• Experience with self-service analytics metadata governance data cataloging or data product management.
• Experience developing and governing AI-enabled products and capabilities.
• Knowledge of healthcare interoperability and federal data modernization initiatives.
• Strategic product leadership.
• Executive stakeholder engagement.
• Enterprise platform governance.
• Product portfolio management
• Data and analytics strategy.
• AI governance and responsible AI adoption.
• Cross-functional team leadership.
• Change management and organizational alignment.
• Outcome-driven decision making.
• Agile and SAFe program execution.

AboutANALYTICA:Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health civilian and national security missions. Founded in 2009 and headquartered in Bethesda MD the company is an establishedSBAsmall businessthat hasbeen recognized byInc. Magazineeach of the past three years as one of the 250 fastest-growingcompanies in theU.S. Analytica specializes in providing software and systems engineering information management analytics & visualization agile project management and management consulting companyis appraised by theSoftware Engineering Institute (SEI) atCMMI Maturity Level 3and is anISO 9001:2008 certifiedprovider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals regardless of race color religion sex sexual orientation gender identity national origin age disability or any other characteristic protected by applicable federal state or local law. As a federal contractor we comply with the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit qualifications and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities in accordance with applicable law.

To enhance efficiency fairness and accuracy Analytica may use AI-assisted tools to support certain aspects of our hiring process.

• Application Review: AI tools may help identify skills and experiences relevant to the role.
• Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

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