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. Key Responsibilities 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. Education Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, Public Health, Business Administration, or a related field. Master's degree preferred. Required Experience 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. Preferred Qualifications 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 services.The 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. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. #J-18808-Ljbffr Analytica