Director, Business Intelligence & Data Engineering

We are seeking an experienced, hands-on Director of Business Intelligence & Data Engineering to own our data platform and analytics end-to-end - the Databricks Enterprise Datawarehouse with curated data marts, a governed semantic layer and BI, and the engineering discipline behind the data-adjacent applications. This is a builder-first leadership role: you will set the technical direction for data, lead by example on quality and delivery, and grow a team that turns a data-and-analytics group into a stable engineering organization., You will be the technical leader who guarantees data quality at the source - so that upstream disruptions never propagate. You will own a single source of truth for metrics through a modern semantic layer, and you will bring the requirements discipline, review, testing, environment parity, and cost governance that keep a healthcare data platform trustworthy and auditable.

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· 10+ years in data engineering / business intelligence, with at least 3 years leading teams.

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· Fluent in Databricks / Spark - hands-on with the lakehouse, Delta, Unity Catalog, and SQL warehouses.

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· Fluent in a modern semantic-layer BI platform - Cube or Looker (LookML) - building governed, reusable metrics; PowerBI reporting a strong plus.

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· Strong SQL and dimensional + semantic data modeling.

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· Healthcare industry experience is REQUIRED - you understand payer, claims, and clinical data and its sensitivity (HIPAA, HITECH, PHI, BAAs). MSO / IPA / ACO / value-based-care experience strongly preferred.

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· Proven delivery discipline - sprints, code review, testing, and CI/CD - for data and/or application teams.

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· Cloud data platforms (Azure preferred); data governance, lineage, and data-quality practice.

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· Excellent communication with executives and business users; you translate between the two., · Direct experience at a healthcare MSO, IPA, ACO, or value-based-care organization is strongly preferred.

· Own the Databricks medallion architecture (Bronze / Silver / Gold): pipeline reliability, Delta/Unity Catalog governance, lineage, and performance.

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· Keep the Gold layer trustworthy and observable - monitor freshness and alert on failure, not just success.

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· Set standards for ingestion from payer, claims, clinical, and Salesforce sources.

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Semantic Layer & Business Intelligence

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· Own a modern, governed semantic / metrics layer (Cube or Looker) as the single source of truth for business metrics - consistent numbers across every consumer.

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· Own the reporting the business runs on: accurate, timely, and governed dashboards for leadership and operations.

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Data Quality & Integrity

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· Put data-quality gates and controls in place so upstream disruptions (e.g., provider / organization data) don’t propagate downstream.

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· Instrument freshness, completeness, and reconciliation checks; make failures loud and traceable.

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Engineering Standards & Delivery

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· Establish requirements defined and frozen per sprint, PR review, tests that assert effect, trunk-based delivery, and dev / QA / prod parity - across pipelines and the apps built on top of them.

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· Operate the 2-week sprint cadence (JIRA, GitHub, Confluence); champion AI-assisted development (Claude Code, Cursor) as a daily team practice, kept under human review and tests.

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Cost & Security Governance

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· Own per-workload cloud cost governance on Azure and Databricks: budgets, caps, owners, tagging, and right-sizing - so an ungoverned run can never surprise us again.

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· Enforce private networking, least-privilege access, and HIPAA-aligned controls (audit logging, encryption, access review) across the data estate.

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Team Leadership & Roadmap

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· Lead and grow the data engineering and BI team, and direct the offshore full-stack engineer(s); build hiring pipelines and lead interview loops.

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· Partner with clinical, operations, and finance stakeholders; protect focus with a single, prioritized roadmap instead of many half-built efforts.

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At Salud Healthcare, we are transforming how value-based care is delivered by empowering clinical and operational teams with data-driven insights. As a growing MSO, we serve provider groups, supporting better patient outcomes through smart infrastructure, modern technology, and people-first innovation.