Director of Analytics Engineering

Ennoble Care

5h

About The Position

Ennoble Care is seeking a hands-on technical leader to strengthen and expand its ACO analytics data infrastructure. This role involves designing a unified data platform that integrates Medicare claims feeds, CMS alignment and benchmark files, in-house clinical systems, and external vendor data into a single, queryable layer. The candidate will be an internal thought-leader on AI-augmented data engineering, including LLM coding assistants, automated QA, autonomous data-quality agents, intelligent cross-source reconciliation, MCP servers, and conversational query layers. This position will lead the large-scale analytics platform and web app rollout as the team's analytical foundation. While initially an individual contributor role, there is a clear path to building and leading an engineering team as the scope grows.

Requirements

• Strong hands-on experience with cloud-based analytics infrastructure and production data pipelines
• Microsoft Azure platform experience — incl. Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage
• Expert T-SQL skills
• Proficient Python for ingestion utilities, internal web apps, and AI-agent tooling
• Experience designing unified/canonical models across heterogeneous source systems
• Demonstrated validation, reconciliation, and audit framework design — especially where discrepancies have material downstream impact
• Familiarity with Medicare claims (CCLF, DPC, BCDA or similar) and/or risk-based contracting strongly preferred
• Track record using LLM-based tools (e.g., Claude Code, Copilot) to accelerate data engineering; comfortable as a visible thought-leader on AI practices for a small team
• Experience integrating pipelines with CI/CD, version control, branching strategies (dev → test → prod), DACPAC or equivalent schema-migration tooling, and managed-identity-based deployment
• Able to translate infrastructure decisions and engineering workflows into business impact for non-technical stakeholders

Nice To Haves

• Azure Databricks experience a strong plus

Responsibilities

• Strengthen and expand our analytics data warehouse infrastructure
• Lead AI-augmented engineering adoption: codify patterns for LLM coding assistants (e.g., Claude Code under BAA), agentic QA, autonomous data-quality monitoring agents, and conversational query layers
• Own data accuracy and reconciliation — build validation, monitoring, and audit infrastructure that catches issues before they reach reporting or CMS submissions — extending our ~158-object audit and observability framework (ADF run logging, MBI crosswalk QA, DPC parity harness, transactional refresh with auto-rollback)
• Partner with analytics leads (MSSP, ACO REACH/LEAD, GUIDE, Quality, Dashboards) to ensure infrastructure meets internal and external reporting requirements and advanced downstream modeling needs
• Lead large-scale analytics platform and web app implementation, integration, and maintenance
• Collaborate closely with IT and Engineering on tooling standards, organizational approvals, and security requirements (BAA scope, Microsoft Entra identity scoping, PHI/PII suppression, Azure SQL firewall)

Benefits

• Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
• Paid Time Off
• Paid Office Holidays
• Paid Sick Time
• 401(k) with up to 3% company match
• Referral Program
• Payactiv: pay-on-demand. Cash out earned money when and where you need it!

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed