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

Nextech Systems is hiring a Senior Product Manager to lead the vision, strategy, and roadmap for its reporting, analytics, and AI-driven insights portfolio across financial and clinical domains. The role partners with clients and cross-functional teams to define, build, deliver, and measure data-informed product capabilities in specialty healthcare.

Responsibilities:

• 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
• 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
• 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
• 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
• 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
• 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

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
• 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
• 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)