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

About this role

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 execution to deliver high-quality reporting and analytics capabilities in iterative, value-driven releases.

• Galvanize engineering and design teams around a shared vision, creating the clarity, momentum, and urgency that drive fast, quality delivery.

• Operate as a force multiplier by removing blockers, managing dependencies, and raising the bar on craft across the teams you influence.

• Model and mentor strong product practices, elevating the discovery, definition, and delivery discipline of the broader product team.

Metrics, Business Impact, and Commercial Success

• Define, track, and report on the financial and clinical KPIs that matter in non-acute healthcare, including revenue cycle performance, charge capture and charge lag, accounts receivable aging, denials and net collection rate, underpayment detection, and clinical quality and operational measures.

• Tie product outcomes to measurable client and business impact, including adoption, retention, revenue, and efficiency gains.

• Partner with Commercial teams on positioning, packaging, launch, and adoption strategies for reporting and analytics offerings.

• Use data and market insight to guide prioritization and continuously assess product-market fit.

• Additional duties as required.

Minimum Requirements

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• 6+ years of product management experience, including significant time owning reporting, analytics, or data-driven products.

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• Demonstrated fluency in financial outcomes and KPIs in non-acute, ambulatory, or specialty healthcare, including revenue cycle management, charge capture, accounts receivable aging, denials, net collection rate, and underpayment detection.

• Proven track record of delivering measurable results in fast-paced, high-growth environments.

• Working knowledge of modern data architecture, including the data warehouse and data marts, ELT/ETL pipelines, semantic and metrics layers, and embedded business intelligence, and how it enables analytics and AI-driven insights.

• Conversant…