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Director of AI & Data - Home Care

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Care Advantage, Inc.
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

Location:

Richmond, VA (Hybrid; travel as needed).

Employment Type:

Contract - potential extension/long-term opportunity.

About Care Advantage:
Care Advantage is a leading home health organization recognized for delivering high-quality, compassionate care to the communities we serve. We operate at the intersection of healthcare excellence and technology innovation, supporting patients and caregivers through scalable, data-driven solutions. As part of our continued growth, we are undergoing a full-scale digital transformation, investing heavily in modern data infrastructure and artificial intelligence to drive better patient outcomes, operational efficiency, financial performance, and workforce empowerment.

The Role

This is not a maintenance role — this is a build, transform, and lead mandate. The Director of AI & Data will serve as the enterprise owner of our AI and data ecosystem, responsible for:

  • Setting strategy and governance
  • Driving execution and adoption
  • Delivering measurable business outcomes

You will partner directly with executive leadership and act as a force multiplier across the organization, transforming raw data into actionable insights and AI-powered capabilities. This role is ideal for a leader who thrives in high-ownership, high-visibility environments where they can shape the future — not just operate within it.

Core Responsibilities & Impact Areas

AI Strategy, Governance & Enterprise Adoption

You will architect and operationalize Care Advantage's AI vision across all business functions.

  • Enterprise-wide AI use cases delivering measurable ROI
  • Responsible AI practices embedded in workflows
  • Scalable AI adoption across departments

Key Responsibilities

  • Own and administer the organization's AI productivity stack (LLMs, automation tools, copilots)
  • Identify, prioritize, and deploy high-impact AI use cases (clinical, financial, HR, operations)
  • Develop governance frameworks for responsible AI usage, data privacy, and HIPAA compliance
  • Lead pilot-to-production lifecycle for emerging technologies
  • Partner with business leaders to define success metrics and adoption KPIs
Data Platform Ownership & Architecture

You will fully own the enterprise data platform, ensuring it is reliable, scalable, and aligned to business needs.

  • Cloud data warehouse ownership (architecture, performance, cost optimization)
  • ETL/ELT pipeline orchestration, monitoring, and expansion
  • Data modeling, transformation, and integration across systems
  • Data lifecycle management and technical documentation
Impact Expectations
  • Near real-time access to trusted data
  • Reduced data latency and improved data accuracy
  • Scalable architecture supporting growth and acquisitions
Business Intelligence & Analytics Delivery

You will lead the transformation from reactive reporting to proactive, insight-driven decisioning.

  • Own enterprise BI tools, dashboards, and reporting standards
  • Deliver critical reporting for Finance & Revenue Cycle, Operations, and Value-Based Care programs
Required Qualifications & Experience
  • 7–10+ years in data engineering, analytics, or BI leadership roles
  • 3+ years in formal people leadership roles
  • Proven experience owning cloud data platforms (Snowflake strongly preferred)
  • ETL/ELT orchestration tools (Matillion, ADF, Fivetran, or similar)
  • BI platforms (Tableau, Power BI, Looker)
  • Experience delivering end-to-end data or AI initiatives with measurable impact
Preferred Qualifications
  • Experience implementing AI tools or LLM-based solutions at scale
  • Healthcare, home health, or regulated data environment experience
  • Knowledge of revenue cycle data, value-based care reporting, and multi-system data ecosystems
Education

Master's degree in Data Science, Analytics, Computer Science, or related field.

Key Performance Indicators (KPIs)
  • AI adoption rates and business impact
  • Data platform uptime, performance, and cost efficiency
  • Reduction in manual reporting processes
  • Data quality and governance compliance
  • Stakeholder satisfaction and adoption of analytics tools
  • Delivery against roadmap timelines and priorities
Values and Leadership

ICARE Values:
Integrity, Compassion, Accountability, Respect, Excellence. Leaders are expected to embody these principles daily and foster ownership, collaboration, and innovation across the organization.

Why This Role is Unique
  • Direct impact on enterprise strategy and transformation
  • Opportunity to build a modern AI/data ecosystem from the ground up
  • High visibility with executive leadership and decision-makers
  • Mission-driven work in healthcare improving lives
  • Balance of technical ownership and strategic leadership
Ready to Lead the Future of Data & AI in Healthcare?

If you are a builder, strategist, and hands-on leader who wants to shape how AI and data transform healthcare, we want to meet you.

Location

Locations include multiple ZIP codes in the Richmond area. Specifics to be discussed during interviews.

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