Director of Business Intelligence

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The Public Interest Company

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🤝 B2B

Healthcare Insurance • Artificial Intelligence • B2B

The Public Interest Company is a healthcare recovery firm that leverages predictive data science and AI/ML to identify claims that should have been paid by third-party insurers and to recover those funds for payers. It works with health plans, risk-bearing provider groups, self-funded employers, and public sector organizations using an all-upside, contingency model that minimizes risk for clients. The team combines PhD-level data scientists, experienced founders, and litigators to provide technology-driven identification plus relentless legal and recovery strategies, with a focus on returning money to the healthcare system without member abrasion or implementation lag.

📋 Description

• Own the business's data graph — the map of what data exists, where it lives (Databricks, Postgres), how entities relate, and what each field actually means in practice • Serve as the single source of truth on data accuracy and data quality across the business; know the source data well enough to catch errors before they reach a dashboard or a client • Partner closely with the data engineering and engineering teams on data model design, pipeline issues, and structural changes • Maintain documentation of data lineage, definitions, and known caveats so the business isn't relying on tribal knowledge • Design, build, and maintain dashboards and reporting in Sigma across all areas of the business • Own all client-facing reporting — every client data deliverable runs through you for scoping and accuracy sign-off • Act as the intake point for data and reporting requests across the business; triage, scope, and prioritize rather than simply executing what's asked • Before building anything, understand the underlying business question, the decision it will inform, and whether the requested output is actually the right one • Translate data into commercial insight — not just “what happened” but “what it means and what to do about it” • Work directly with business leaders across operations, litigation, and finance to help them develop and act on insights from the data • Proactively identify patterns, risks, and opportunities in the data rather than waiting to be asked • “Sell” insights internally — present findings in a way that drives decisions and gets adopted, not just circulated • Establish and enforce a standard for data quality and validation across all reporting and dashboards • Build a process (with data engineering) to catch and resolve data discrepancies before they surface downstream • Set the standard for what “production-ready” reporting looks like at TPIC and hold that line across the business.

🎯 Requirements

• 4+ years in business intelligence, analytics engineering, or a hybrid data/commercial role • Strong SQL and hands-on experience with modern data warehouses (Databricks required; Postgres a strong plus) • Proven experience building and maintaining dashboards in Sigma or a comparable modern BI tool (Looker, Mode, Tableau) • Demonstrated ability to reverse-engineer and document complex, multi-source data models • Strong commercial instincts — a track record of turning data into decisions, not just reports • Experience operating as the last line of defense on data accuracy in a business with multiple workflows and complex source data • Comfortable operating as a single point of ownership across a business with no BI team beneath you — this is a builder-operator role, not a manager role (for now) • Excellent stakeholder communication; able to push back on a request and be trusted for it • Healthcare, insurance, or claims data experience a plus but not required.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development