Data Health Partner

Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there. For more information, visit arcadia.io. Why This Role Is Important to Arcadia Love data and want to make a difference? The Data Health Partner (DHP) plays a critical role in ensuring that customer data within Arcadia’s platform is accurate, reliable, and actionable. This role sits at the intersection of data validation, dataset analysis, backend troubleshooting, and cross-functional delivery. The Data Health Partner analyzes healthcare datasets, validates system behavior, and resolves data issues so customers can confidently trust and act on their data. The Data Health Partner operates within a matrix team structure alongside a TechOps Delivery Lead, Data Engineers, fellow DHPs, and the Customer Management team. In this environment, the role is expected to deliver technical work on planned timelines, identify risks early, and communicate proactively with cross-functional partners and leadership. While primarily focused on backend systems and data integrity, the Data Health Partner will often engage directly with customers to explain findings and support resolution efforts. The Data Health Partner is part of Arcadia’s TechOps organization and reports to the Data Health Manager, ensuring strong technical mentorship, structured growth, and alignment with data quality and platform best practices. Arcadia embraces modern tooling and innovation. The Data Health Partner is expected to thoughtfully leverage AI tools in daily work to enhance analysis, improve documentation, and increase efficiency while maintaining strong technical judgment and data security standards. What Success Looks Like In 3 months - Learn Arcadia’s data model, ingestion processes, and orchestration framework - Develop familiarity with assigned customer datasets and business context - Begin analyzing datasets to support validation and issue investigation - Use AI tools to enhance productivity in analysis and documentation In 6 months·       - Take ownership of data quality and monitoring processes associated with customers - Troubleshoot routine validation and orchestration issues with minimal assistance - Deliver assigned work within expected timelines - Identify risks to delivery and communicate proactively - Support customer-facing communication when technical clarification is needed   In 12 months - Manage day-to-day data validation and troubleshooting for complex activities independently - Apply lessons learned to improve quality and consistency for the team - Have customer facing conversations independently on a regular basis - Develop subject matter expertise in healthcare data - Leverage AI tools strategically to scale impact while maintaining compliance  What You'll Be Doing

Serve as a technical expert responsible for ensuring data accuracy, validating backend systems, and troubleshooting complex data issues

Query and analyze healthcare datasets to identify data quality issues, inconsistencies, and anomalies

Validate data integrity through backend systems and configuration reviews

Troubleshoot ingestion, transformation, and orchestration failures

Monitor job workflows and diagnose dependency or sequencing conflicts

Deliver assigned technical work within agreed timelines and flag risks early

Partner with the Customer Management team to align technical execution with customer priorities

Support customer discussions when technical clarification is needed

Participate in production support workflows to verify fixes and confirm resolution

Collaborate across Data, Product, R&D, and customer teams to support scalable data solutions and translate technical findings into clear, actionable outcomes

Document investigations clearly and escalate issues when appropriate

Apply structured problem-solving to propose practical, technically sound solutions

Use AI tools to improve efficiency in analysis, troubleshooting, and documentation

What You'll Bring

Bachelor’s degree in a STEM or quantitative field, or equivalent experience

Professional experience working with data in a technical or analytical capacity

Proficiency in SQL and experience querying complex relational databases. This role requires strong SQL skills and a proven track record of working with large or complex data environments

Experience analyzing datasets to identify patterns or discrepancies

Strong analytical and problem-solving skills

Comfort leveraging AI tools to improve efficiency and workflows

Ability to operate effectively in a matrixed, cross-functional environment

Clear written and verbal communication skills

Curiosity, attention to detail, and strong desire to grow technically

Typically 2–5 years of relevant experience, though we welcome strong candidates with varied backgrounds

Would Love for You to Have

Exposure to healthcare data (claims, clinical, ADT, provider, etc.)

Familiarity with AWS (S3, Redshift) or similar cloud platforms

Experience with Python or other scripting languages

Experience using Jira, Confluence, or similar collaboration tools

Interest in value-based care models  

What You'll Get

The opportunity to change healthcare for the better by integrating and improving critical data that powers population health

The chance to work alongside some of the best minds in healthcare to solve complex, high-impact data challenges

Exposure to a diverse portfolio of healthcare customers focused on modernizing care delivery through data

A collaborative team with deep expertise in population health, data quality, data management, and analytics

A supportive culture that values flexibility while creating opportunities for connection, growth, and professional development

Competitive benefits, including flexible time off