Senior Product Manager, Analytics & Data Platforms
Role Overview
Bellese is seeking a Senior Product Manager to lead product strategy and delivery within a complex, data-intensive environment supporting federal healthcare programs. This role owns end-to-end product outcomes across analytics, data pipelines, and reporting systems.
You will operate as a senior, autonomous leader. You will drive clarity in an environment with legacy processes and high delivery pressure. You will partner closely with delivery teams and stakeholders to modernize workflows, reduce inefficiencies, and improve data quality and reliability.
This role requires strong product judgment and technical fluency in data systems. You must lead through ambiguity, identify systemic issues, and drive measurable improvements across teams and processes.
HQR
Our team is charged with maintaining and improving the software at the Centers for Medicare and Medicaid Services (CMS) that supports the Hospital Quality Reporting program. Thousands of hospitals across the country depend on these systems to submit quality measure data that reflects the care beneficiaries receive in their facility. Our teams will continuously strive to modernize these systems, while improving them in ways that reduce provider burden and minimize costs to CMS. We do this through HCD and Service design practices, product thinking, and skilled engineering. At Bellese, we’re relentlessly focused on enabling and empowering providers to focus on improving the quality and safety of patient care.
Key Responsibilities
Product Leadership and Strategy
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
Data Product Ownership
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
Technical and Systems Fluency
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
Execution and Delivery
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
Team and Process Transformation
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
Stakeholder Leadership
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
Security Clearance Requirements
Work that matters, with perks that deliver. Discover how Bellese Technologies invests in you through a benefits suite that makes every day better
You will like it here if
Required Qualifications
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
Preferred Qualifications
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
Key Traits for This Role
Autonomous and decisive
Strong systems thinker
Comfortable operating in ambiguity
Technically credible with data teams
Focused on outcomes over process
Willing to challenge and improve existing structures