Director, Transformation Analytics and Architecture

UofL Health

$120K — $150K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Business, Information Science, or Computer Science.
  • 7-10+ years in data analytics or BI with leadership experience.
  • Background in AI Engineering or Machine Learning is essential.
  • Proficient in tools like Microsoft Fabric, Databricks, Power BI, Tableau, or Looker.
  • Deep understanding of data modeling, ETL processes, and data warehousing concepts.
  • Exceptional communication skills to connect technical details with business needs.
  • Experience in Agile development methodology for analytics projects.

Responsibilities

  • Lead the Transformation Analytics and Data Architecture Units to align with TMO goals.
  • Manage and mentor a multi-functional team including Managers, Engineers, Architects, and Analysts.
  • Establish enterprise-wide data governance standards for accuracy and compliance.
  • Oversee the implementation of data warehouses and ensure efficient BI pipelines.
  • Develop KPI frameworks and decision-grade dashboards for strategic insights.
  • Own the AI roadmap and ensure alignment with organizational priorities.
  • Engage with senior executives to provide strategic recommendations based on data.

Benefits

  • Opportunity for professional development in cutting-edge data and AI technologies.
  • Collaboration with a diverse team of skilled professionals.
  • Engagement in high-impact analytics projects that drive business transformation.
  • Ability to influence decision-making at the executive level.
  • Support for continuous learning and adoption of innovative tools.
Full Job Description
Primary Location:
250 E Liberty St

Address:
250 East Liberty St.Louisville, KY 40202

Shift:

Job Description Summary:

Job Description:

Position Summary and Purpose

The Director of Transformation Analytics and Architecture is a leadership role responsible for owning and executing the data strategy of the Transformation Management Office (TMO). This leader bridges the gap between technical data architecture and business goals by managing a multi-function team of Managers, AI Engineers and Data Architects, among others. As the Director of Transformation Analytics and Architecture, you will lead the evolution of our data and AI ecosystem. You will transform complex enterprise data into actionable insights that drive growth, efficiency, and data-driven decision-making across all departments.

Essential Functions:

Leadership: Champion and lead the Transformation Analytics and Data Architecture Units and roadmap aligned with TMO and organizational goals.

Team Management: Recruit, mentor, and lead a team of Managers, Engineers, Architects and Analysts, among others.

Data Governance & Quality: Partner with Analytics Leadership Team to establish enterprise-wide data standards, ensuring accuracy, security, and compliance with regulations like HIPAA.

Infrastructure Ownership: Lead data architecture/engineering to manage and implement data warehouses (e.g., Fabric, Databricks) and ensure scalable, high-performing BI pipelines across all domains, such as clinical, operational, financial, etc.

Transformation Analytics Ownership: Translate turnaround priorities into:

KPI frameworks, Driver-based models (volume, yield, cost), Initiative tracking (benefits realization), Build decision-grade dashboards

AI Strategy & Deployment (Transformation Lever): Own AI roadmap aligned to TMO priorities

Works with Analytics Leadership to identify and prioritize high-value use cases.

Support build vs buy decisions, stand up AI product lifecycle, ensure governance risk, and compliance.

Ensure AI is deployed as products/capabilities embedded in workflows, not tools

Transformation Execution & TMO Integration:

Embed analytics + AI into each TMO workstream

Partner with initiative owners to quantify opportunity, track impact, course-correct in real time, build benefits tracking system tied to finance, support operating cadence with TMO leadership.

Stakeholder Engagement: Act as a primary consultant to senior executives, translating complex technical findings into clear, strategic recommendations.

Driving Data Literacy: Champion the adoption of self-service BI tools across the organization to empower non-technical users.

Additional tasks/responsibilities as defined.

Other Functions:

Works closely with Analytics and Strategy leadership team, business teams and IT infrastructure teams to design, implement and support the goals and objectives of the organization set by the leadership

Proactively communicates and collaborates with internal and external customers to analyze information needs and functional requirements and delivery

Maintains compliance with all company policies, procedures and standards of conduct

Complies with HIPAA privacy and security requirements to maintain confidentiality at all times

Performs other duties as assigned

Additional Job Description:

Job Requirements

(Education, Experience, Licensure and Certification)

Education:

Bachelor's Degree in Business, Information Science or Computer Science required.

Experience (required/preferred):

7-10+ years in data analytics or BI, with prior experience in a leadership role managing direct reports.

Experience in AI Engineering, Machine Learning Engineering, or Advanced Data Engineering.

Knowledge of tools like Microsoft Fabric, Databricks, Power BI, Tableau, or Looker.

Deep understanding of data modeling, ETL processes, and data warehousing concepts.

Exceptional storytelling and communication skills to bridge technical and business domains.

Expert knowledge of data governance practices and data life cycle management highly desired.

Experience in Agile development methodology for analytics projects required.

Experience working directly with vendors, customers and other Technology teams.

Licensure:N/A

Certification:N/A

Job Competency:

Knowledge, Skills, and Abilities critical to this role:

Language Ability:

Must be able to communicate effectively in both verbal and written formats

Reasoning Ability:

Ability to break down problems or tasks; using prior knowledge and experience to identify causes and consequences of events

Computer Skills:

Proficient with Microsoft 365 and Office Tools

Strong data modeling skills and concepts

Must have the capacity to learn other relevant systems and databases, as needed

Additional Responsibilities:

Demonstrates a commitment to service, organization values and professionalism through appropriate conduct and demeanor at all times

Maintains confidentiality and protects sensitive data at all times

Adheres to organizational and department specific safety standards and guidelines

Works collaboratively and supports efforts of team members

Demonstrates exceptional customer service and interacts effectively with physicians, patients, residents, visitors, staff and the broader health care community

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