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TriEdge Investments

Healthcare investments with AI-driven value creation

Director – BI & Data Engineering

Data Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USA$165k - $195kRemote

About the Job

Requirements

  • At least 10 years of experience in data warehousing, data engineering, and business intelligence, including at least 3 years leading teams.
  • Strong hands-on experience building enterprise data warehouse permanent tables, including dimensional and normalized data modeling, ETL/ELT development, and stored procedures; expert-level SQL.
  • Hands-on Databricks experience with lakehouse, Delta, Unity Catalog, SQL warehouses, and semantic layer development.
  • Proven experience with an enterprise BI and semantic modeling platform such as Looker (LookML), Omni, or MicroStrategy.
  • Experience acting as product owner for a BI or data platform, including roadmap, backlog, requirements, and stakeholder adoption.
  • Required healthcare industry experience with payer, claims, eligibility, and clinical data and its sensitivity, including HIPAA, HITECH, PHI, and BAAs.
  • Proven ability to lead a team through agile processes, including sprints, code review, testing, and CI/CD, while remaining a hands-on contributor.
  • Excellent communication with executives and business users, and ability to translate between the two.
  • A bachelor's degree in Computer Science, Data/Information Systems, Statistics, or a related field is required.

Responsibilities

  • Design, build, and own permanent tables in the Databricks enterprise data warehouse, including dimensional and normalized data models across Bronze, Silver, and Gold medallion layers and curated data marts.
  • Develop and maintain production ETL/ELT pipelines and stored procedures using SQL and Spark/PySpark, and set standards for ingestion from payer, claims, clinical, and Salesforce sources.
  • Govern the platform through Delta and Unity Catalog, including lineage, access, performance tuning, and per-workload cost management on Azure and Databricks.
  • Implement data-quality gates for freshness, completeness, and reconciliation so upstream disruptions do not propagate downstream and failures are traceable.
  • Serve as product owner of the BI solution by owning its vision, roadmap, prioritized backlog, requirements, and user acceptance.
  • Build and govern the semantic and metrics layer, including Databricks-native semantic capabilities, as a single source of truth for business metrics.
  • Lead development on an enterprise BI platform such as Looker, Omni, or MicroStrategy, building governed, reusable models and dashboards used by leadership and operations.
  • Partner with clinical, operations, finance, and growth stakeholders to translate business questions into data products and drive organizational adoption.
  • Model payer, claims, eligibility, membership, and clinical healthcare data to support value-based care performance.
  • Deliver analytics for Medicare Advantage and value-based arrangements, including HCC/risk adjustment, HEDIS/Stars quality, utilization, MLR, and capitation.
  • Enforce HIPAA-aligned controls across the data estate, including least-privilege access, private networking, encryption, audit logging, and access review.
  • Lead, mentor, and grow a small team of data engineers and BI developers, direct offshore engineering resources, build hiring pipelines, and lead interview loops.
  • Run a two-week sprint cadence using JIRA, GitHub, and Confluence, including defining and freezing requirements per sprint, backlog grooming, sprint planning, reviews, and retrospectives.
  • Set engineering standards for PR review, tests that assert effect, CI/CD, and development/QA/production parity, and champion AI-assisted development tools such as Claude Code and Cursor under human review.
  • Contribute code, models, and reviews alongside the team while protecting focus with a single prioritized roadmap.

Desired Qualifications

  • Value-based care experience is strongly preferred.
  • Direct experience at a healthcare MSO, IPA, ACO, or other value-based-care organization.
  • Medicare Advantage experience with HEDIS, HCC/risk adjustment, MMR, eligibility, and claims (X12 837/835/834/270/271).
  • Experience with dbt, Airflow/Astronomer, or comparable data-platform tooling, and Azure cloud data services.
  • Experience with Salesforce data pipelines and FinOps/cloud cost management.
  • Experience leading distributed or offshore teams across time zones.
  • A master's degree is preferred but not required.

About the Company

TriEdge Investments

Healthcare investments with AI-driven value creation

TriEdge Investments is a New York–based family office and technology firm that backs healthcare companies through two vehicles: TriEdge Capital for healthcare as a whole and TriEdge Ventures for healthcare-focused technology. It combines operational healthcare expertise with an AI-driven approach, building an AI platform and a shared data lakehouse to standardize data, reduce documentation, and improve interoperability among electronic health records, while supporting administrative AI, clinical decision support, and patient engagement. Unlike typical venture funds, it uses patient, permanent capital with longer investment horizons and pursues control positions and strategic co-investments to build lasting value. The firm’s goal is to lessen fragmentation and waste in healthcare by deploying AI-powered data infrastructure and workflow tools that improve care coordination and value-based outcomes.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

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