Senior Data Product Manager, HealthCare – RCM

Naveera Technology LLC

Senior Data Product Manager defining data strategy for healthcare transformation at Naveera Technology. Spearheading data governance and decision making to enhance product insights and capabilities.

Posted 6/1/2026full-timeDenver • Colorado • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftSQLTableau

About the role

Key responsibilities & impact

Enable Data Across Products
Partner with Product Managers to define what success looks like for each product and feature — the metrics, instrumentation, and data requirements needed to measure outcomes.
Ensure data considerations are included in discovery, design, and delivery stages for all product initiatives.
Collaborate closely with engineering and analytics to align event tracking, schema design, and system integrations.
Build frameworks and best practices that improve how product teams plan, track, and learn from data.
Act as a bridge between business, analytics, and technology teams to ensure the right data is available for decision-making.
Strengthen Data Governance
Establish consistent definitions and taxonomies for key product and business metrics.
Partner with data engineering and analytics teams to improve data quality, completeness, and lineage
Introduce standards for data documentation, ownership, and change management.
Drive cross-functional adoption of shared data assets, dashboards, and tools.
Promote a culture of data stewardship across teams.
Drive Data-Driven Decision Making
Create visibility into how products perform through reliable reporting and metrics dashboards.
Work with operations, customer success, finance, and product leadership to ensure business decisions are informed by accurate, consistent data.
Lead post-launch reviews and experimentation analysis to quantify impact and guide iteration towards adoption and optimized results.
Identify opportunities to automate insight generation or embed analytics into the product experience.
Prepare for Future Data Products & AI
Collaborate with product and engineering leaders to identify opportunities where data can enhance the customer experience through benchmarks, insights, or predictive recommendations.
Develop a long-term vision for data and AI readiness, including the infrastructure, quality, and processes required to support intelligent features.
Partner with design and engineering to prototype and validate data-powered capabilities that create measurable value.

Requirements

What you’ll need

8–10 years of relevant experience in data analytics or data-intensive environments, including at least 3 years in a product management or data analytics leadership role.
Demonstrated success collaborating with engineering, product, and business teams to define and deliver data-related initiatives.
Strong understanding of data modeling, event tracking, and analytics instrumentation.
Working knowledge of SQL and familiarity with modern data tools (dbt, Snowflake, Redshift, Power BI, Tableau, or similar).
Excellent communication and stakeholder management skills — able to translate between technical and business perspectives.
Proven ability to balance near-term operational improvements with long-term strategic vision.
Experience working in Agile product development environments — comfortable defining stories, managing backlogs, and collaborating with teams through sprint cycles.

Benefits

Comp & perks

Hybrid Model 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsdata modelingevent trackinganalytics instrumentationSQLdata documentationdata qualitydata governanceautomationdata-driven decision making

Soft Skills

communicationstakeholder managementcollaborationstrategic visionoperational improvementsdata stewardshipleadershipcross-functional teamworkproblem-solvingadaptability