Senior Product Manager - Data

Who We Are  At PracticeTek, we believe healthcare should be easy for providers, accessible for patients, and simple for everyone involved.    PracticeTek was established by healthcare professionals and entrepreneurs who share a common goal :

• to deliver seamless, high-quality, on-demand healthcare—free from the confusing limitations of traditional platforms.    PracticeTek is a collection of innovative software companies working together to make healthcare easier and more accessible for everyone.
• We deliver robust software solutions that support practitioners and foster exceptional patient experiences, contributing to the growth of healthcare clinics specializing in chiropractic, dental, orthodontics, optometry, and multi-discipline therapy.  Product Department  The Product team at PracticeTek drives the vision, strategy, and execution of our SaaS platforms that support thousands of healthcare providers across chiropractic, dental, ortho, optometry, and therapy.
• We partner closely with Engineering, Data, Design, and Business leaders to deliver secure, scalable, and intuitive solutions that solve real-world problems for clinics and patients.  Within this team, the Data function plays a critical role—uniting fragmented systems, unlocking insights, and enabling smarter decision-making across the business.
• From infrastructure to analytics to end-user reporting, we ensure data is actionable, accessible, and aligned with our commitment to healthcare innovation.  The Career Opportunity  Join PracticeTek as a Senior Product Manager – Data, and become the connective tissue between data systems, product, engineering, RCM, and business leaders across our portfolio.
• You will define, refine, and own the roadmap that brings our disparate data sources into a unified platform—powered by Snowflake - enabling better reporting, insight delivery, product decision-making, and team management.  This is a high-impact role requiring cross-functional influence, technical fluency, and a sharp product mindset.
• You’ll help untangle complexity, break down silos, and translate business and clinical needs into actionable, scalable data products.  This position is eligible for remote work.
• However, candidates residing in San Diego, CA or Las Vegas, NV will be required to work in a hybrid capacity, which includes three in-office days per week to support in-person collaboration and team engagement.
• Areas of Accountability  Define and drive the strategy, roadmap, and execution of core data initiatives that power internal and customer-facing analytics.  Own the intake, prioritization, and delivery process for cross-functional data requests and reporting requirements.  Partner closely with engineering, architecture, and vendor teams (e.g.

Snowflake, WhiteSpace Health) to implement scalable data infrastructure and integrations.  Understand and document current-state workflows and system dependencies across PracticeTek verticals.  Quickly develop working knowledge of how data is structured across disparate systems (e.g., EHRs, payment platforms, patient engagement) and how it can be modeled, transformed, and unified in Snowflake.  Translate business problems and reporting needs into detailed product requirements, user stories, and success metrics.  Lead cross-functional discovery, user research, and systems analysis to identify data gaps and uncover opportunities.  Ensure our data tools and pipelines support security, privacy, and compliance standards (HIPAA, SOC2).  Drive the adoption and enablement of data products through clear documentation, training, and stakeholder engagement.  Track and report on KPIs to evaluate the success and usage of data initiatives post-launch.  Competencies for Success  5+ years of product management experience in SaaS, with a focus on data products, analytics platforms, or business intelligence.  Strong understanding of modern data infrastructure tools and ecosystems, including data pipelines (Fivetran), transformations (dbt), how they materialize in the data warehouse (Snowflake), and how they support downstream reporting and analytics in BI tools (PowerBI).  Ability to analyze and interpret data schemas across systems and partner on normalization strategies for data lakes.  Demonstrated expertise in analyzing large data sets and using data platforms / tools for analysis and reporting (e.g., Power BI, Tableau, Python, SQL).  Experience building or managing products that rely on data modeling, ETL pipelines, and complex integrations.  Ability to collaborate cross-functionally with Engineering, Compliance, Accounting, and Customer-facing teams.  Exceptional communication and documentation skills, with the ability to simplify complexity for both technical and non-technical audiences.  Proven success in leading discovery and translating ambiguous needs into structured product initiatives.  Self-motivated, detail-oriented, and skilled at moving work forward even when faced with ambiguity or roadblocks.  Bonus :