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

Job description

**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 [talent@nextech.com](mailto:talent@nextech.com). ### Essential Functions - 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 - - 6+ years of product management experience, including significant time owning reporting, analytics, or data-driven products. - - 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 in data lake and lakehouse architecture and the medallion model of refining data from raw ingestion (bronze) to cleansed, conformed data (silver) to curated, analytics-ready products (gold). Must understand how the data is constructed well enough to partner with engineering on design tradeoffs. This is a step beyond domain or subject-matter expertise, though it does not require hands-on data engineering. - Demonstrated extreme ownership in authoring crisp product requirements and driving refinement in close partnership with engineering. - Proven ability to run rapid client discovery that produces clear, actionable decisions for delivery teams. - Strong understanding of AI and machine learning concepts as applied to analytics and insight generation. - Demonstrated ability to galvanize engineering and design teams and influence cross-functionally without direct authority. - Experience working in Agile environments (backlog management, sprint planning, roadmap development). - Strong analytical, written, and ### Technical Requirements - - SQL fundamentals: strong, working command of SELECT, WHERE, JOIN, GROUP BY, HAVING, and ORDER BY, sufficient to query data and answer questions independently rather than waiting on an analyst. - Relational database fundamentals: a solid grasp of tables, keys, relationships, and normalization basics. - Demonstrated hands-on experience implementing agentic AI product workflows that execute multi-step tasks, with mandatory guardrails including human approval checkpoints on generated content. - A proven track record of adopting and leveraging AI in day-to-day work, not simply a willingness to learn it. This role calls for an active adopter who builds AI into how they operate and helps the team do the same. ### Preferred Qualifications - Experience in healthcare technology, EHR, revenue cycle management, or ambulatory/specialty care environments. - Hands-on experience with business intelligence or embedded analytics platforms (e.g., Power BI, Looker, Tableau, Sigma). - Experience shipping AI- or LLM-powered analytics or insight features. - Exposure to specialty practices such as Ophthalmology, Dermatology, Plastics, Orthopedics, or Med Spa. - Familiarity with Agile tools such as Jira. - Advanced degree (MBA or a technical/analytics discipline). ### Working Environment / Physical Demands **Working Environment:** - *Remote work within the United States.* - Long-distance or air travel as needed, not to exceed 10% travel. **Physical Demands:** - Activities require a significant amount of work in front of a computer monitor.