Senior Product Manager, Analytics & Data Platforms

🕒 April 21

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Bellese Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

Healthcare Insurance • Technology • Public Sector Service

Bellese Technologies is a company focused on improving the healthcare journey through civic innovation. They are not just a digital service provider, but a partner committed to supporting millions of Americans with civic tech solutions. The company prides itself on being accessible, transparent, and trusted, as evidenced by its recognition as one of the 'Top 20 Most Promising Tech Solution Providers for the Public Sector' by CIO Review Magazine. Bellese emphasizes service design, product management, data science, and software engineering, all with a focus on improving quality of care and price transparency in healthcare. Their work involves end-to-end discovery methods to create services and digital products that meet program, policy, and user needs. The company operates with a human-centered and innovative approach, ensuring their solutions are both practical and effective, especially in the public healthcare sector.

📋 Description

• 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

🏖️ Benefits

• Remote First, Remote Only Culture • Four weeks paid time off yearly (prorated based on start date for the first year) • 10 paid floating company holidays • Flexible schedule • Work from home setup including a Macbook • Collaborative, learning environment • Medical, dental, and company-paid vision insurance • Optional HSA account with some medical plans and a company contribution • Company paid basic life and AD&D insurance coverages • Company paid short and long term life insurance • Optional critical illness and accident insurance • 401K plan with 3% safe harbor contribution • Wellness resources and virtual care • Perks Plus employee discounts