Senior Product Manager, Analytics & Data Platforms

Bellese is a mission-driven Digital Services Company focused on innovative technology solutions in civic healthcare. They are seeking a Senior Product Manager to lead product strategy and delivery in a data-intensive environment supporting federal healthcare programs, with a focus on analytics, data pipelines, and reporting systems.

Responsibilities:

• Own product direction across analytics, data pipelines, and reporting systems
• Define and execute a roadmap focused on scalability, data quality, and operational efficiency
• Identify and drive modernization opportunities across legacy analytics workflows and tooling
• Lead efforts to reduce manual processes, redundant validations, and siloed development
• Translate complex data workflows into clear product requirements and deliverables
• Partner with engineering to shape data models, ETL pipelines, and distributed processing systems
• Ensure data products meet standards for accuracy, performance, and reliability
• Drive improvements in data lineage, traceability, and documentation
• Work closely with data engineers on PySpark, Databricks, and distributed systems design
• Understand tradeoffs in data modeling, pipeline design, and performance optimization
• Contribute to decisions on architecture, tooling, and platform evolution
• Ensure alignment with cloud infrastructure, security, and governance requirements
• Lead backlog prioritization across competing data and reporting needs
• Balance short-term delivery with long-term system health
• Drive coordination across engineering, analytics, and reporting teams
• Ensure delivery meets timelines, quality expectations, and regulatory requirements
• Identify gaps in current team structure, workflows, and ownership models
• Drive integration of analytics work into core product teams to reduce silos and handoffs
• Establish clear ownership across calculations, data modeling, reporting, and delivery
• Improve team operating model to support predictable, scalable delivery
• Build trust across complex stakeholder groups including technical and non-technical partners
• Translate data concepts into clear business and program impact
• Proactively manage risks related to data accuracy, delivery, and dependencies
• Drive alignment across external partners and internal teams

Requirements:

• 7+ years as a Product Manager building digital products in a cross-functional agile environment
• Exceptional communication skills across business, technical, and creative stakeholders, with the ability to translate complex requirements for diverse audiences
• Deep understanding of the consulting mindset, including how to build trust and operate as a partner in a client-facing engagement
• In-depth knowledge of the requirements management cycle, with excellence in defining, writing, and testing requirements, acceptance criteria, and definition of done
• Strong command of modern product management practices including user-centered design, continuous discovery, and outcome-oriented prioritization
• Superior relationship-building skills in large, complex stakeholder environments
• Proven ability to drive progress in ambiguous environments
• Prior experience in a client-facing consulting or contracting role
• Ability to identify risks and implement mitigation techniques in a timely manner
• Strong experience owning products involving data pipelines, analytics, or reporting systems
• Demonstrated ability to operate independently and drive outcomes without direction
• Proven ability to lead in ambiguous, high-pressure environments
• Strong understanding of: Data modeling and ETL processes
• Data quality, validation, and governance practices
• Experience partnering closely with data engineers and backend teams
• Strong analytical and problem-solving skills
• Experience managing complex systems with multiple dependencies and integrations
• 5+ years as a product management experience in complex, data-driven environments
• Experience with Databricks, Spark, or similar large-scale data platforms
• Familiarity with AWS data services such as S3, Glue, and Lambda
• Experience in healthcare data, CMS programs, or regulated environments
• Experience modernizing legacy data systems or analytics workflows
• Familiarity with FHIR, eCQM, or quality reporting systems
• Experience working in Agile or SAFe environments