Senior Product Manager, Reporting & Analytics (Remote -US)

Why join Nextech?
We are a leader in specialty healthcare technology solutions.
We’re committed to hiring and retaining talent, which is why we invest in our employees through competitive pay, a generous bonus structure, great healthcare, a comprehensive wellness program, and many other benefits.
If you are a software engineer, finance or accounting professional, customer support specialist, or a business development expert with a passion for healthcare technology (just to name a few), we want to hear from you.
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics are encouraged to apply. If you are a candidate in need of assistance or an accommodation in the application process, please contact .
Essential Functions
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In addition to working in accordance with appropriate conduct and behavioral standards, specific responsibilities of this role include:

Product Vision and Strategy

- Own the product vision, strategy, and multi-quarter roadmap for Nextech's reporting, analytics, and AI-driven insights portfolio across financial and clinical domains.

- Set direction in ambiguity by making clear, defensible bets on where to invest, what to sequence, and what to decline, grounded in client value and business impact.

- Define the analytics and insights strategy that positions Nextech ahead of client and market needs, including the shift toward proactive, AI-driven insight.

- Prioritize and manage the portfolio backlog, making data-driven tradeoffs on scope, sequencing, and risk.

- Ensure responsible and compliant use of AI and client data aligned with regulatory and company standards.

Modern Data Architecture and Analytics Platform

- Work closely with Data Engineering to understand how data is constructed across the lakehouse's medallion layers, moving from raw ingestion (bronze) to cleansed and conformed data (silver) to curated, analytics-ready data products (gold), then translate that understanding into sound product decisions and tradeoffs.

- Help shape the broader data foundation that powers reporting and AI-driven insights, including the data warehouse and data marts, ELT/ETL pipelines, semantic and metrics layers, and embedded analytics.

- Translate a modern data architecture vision into a product roadmap that scales across specialties and clients.

- Make informed tradeoffs on data modeling, latency, governance, and reusability that balance speed to value against long-term platform health.

- Champion data quality, lineage, and trust as first-class product outcomes, since analytics is only as valuable as the data beneath it.

Discovery and Client Insight

- Drive continuous, structured discovery with providers, practice administrators, revenue cycle leaders, and clinical staff to validate needs, financial and clinical use cases, and willingness to pay.

- Run discovery at pace, converting client learning into clear, actionable decisions the delivery team can execute quickly, rather than open-ended research.

- Synthesize qualitative and quantitative signal into a sharp, defensible point of view on what to build and why.

- Validate direction early and often through prototypes, pilots, and design partners to reduce delivery risk.

Requirements Definition and Engineering Partnership

- Author clear, crisp, and unambiguous product requirements (outcomes, epics, user stories, acceptance criteria, and workflow documentation) that engineering and design can act on without guesswork.

- Demonstrate extreme ownership in driving product refinement alongside engineering counterparts, staying in the details from definition through delivery.

- Partner deeply with engineering on technical tradeoffs, data dependencies, and sequencing, resolving ambiguity before it becomes rework.

- Maintain a healthy, well-groomed backlog that keeps the delivery team moving at a predictable pace.

Execution, Delivery, and Team Leadership

- Lead cross-functional