Product Manager

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.

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