Director of Business Intelligence & Analytics-Managed Care

Director, BI & Analytics

Houston, TX

Hybrid, 2 days in office

We are hiring a Director of BI & Analytics for our client, a Houston nonprofit managed care organization committed to helping improve the health and well-being for Texas residents.

This Director, BI & Analytics Center of Excellence, is a strategic leader within our client's Finance and Analytics organization, responsible for advancing medical economics, strengthening regulatory reporting, and leading the enterprise Analytics Center of Excellence (COE). The position develops and executes a comprehensive medical economics framework using claims, utilization, and membership data to identify cost drivers, assess affordability initiatives, and generate actionable insights that support enterprise decision-making and value- based care strategies. It translates complex healthcare and financial data into clear recommendations that improve medical cost performance, utilization management, and long-term financial sustainability.

Responsibilities:

• Lead regulatory reporting support by ensuring data accuracy, consistency, and

compliance across all submissions, including managing Health and Human Services

Commission (HHSC), Texas Department of Insurance (TDI), Centers for Medicare &

Medicaid Services (CMS) and other governing body deliverables to ensure reports

are filed timely and accurately; establish validation controls and standardized

processes, and proactively identify opportunities for automation to transition reporting

toward scalable, self-service solutions and reduce manual dependency over time.

• Provide support for medical economics analysis by evaluating cost and utilization

trends, interpreting complex healthcare data, and delivering actionable insights to

inform strategic decision-making across clinical, operational, and financial areas;

partner with stakeholders to support enterprise initiatives, identify opportunities to

enhance business processes, improve financial performance, quality outcomes, and

overall organizational effectiveness.

• Lead and continuously enhance the Reporting & Analytics Center of Excellence

(COE) by establishing governance, operating models, and performance tracking,

while partnering with business stakeholders to translate enterprise needs into

actionable reporting solutions; prioritize and deliver analytics initiatives that drive

quality outcomes, regulatory compliance, financial performance, and operational

efficiency, and maintain a forward-looking roadmap to advance data standardization,

reporting capabilities, and enterprise adoption.

• Lead and develop a high-performing BI & Analytics organization by structuring cross-

functional teams, coaching talent to translate data into business value, and elevating

technical and strategic capabilities to deliver actionable, decision-ready insights

across the organization.

• Lead the enterprise BI and analytics function by governing report inventory,

standardizing KPI definitions, and aligning reporting with data governance to ensure

a single source of truth while modernizing analytics platforms, expanding access to

trusted data, driving automation, and enabling advanced analytics capabilities that

improve decision-making, efficiency, and scalability.

• Drive enterprise adoption of standardized analytics practices by implementing

consistent intake, prioritization, documentation, and reporting standards while

establishing disciplined operating routines and embedding data-driven decision-

making across the analytics teams and business stakeholders. Other duties as

Assigned.

Requirements:

• Bachelor’s degree required in Information Systems, Analytics, Computer Science, Healthcare Administration, Business, or a related field.
• 10+ years of analytics, BI, or data leadership experience; Managed Care/Healthcare experience required
• 5 years leading reporting, analytics, or BI teams
• Software Proficiencies: Microsoft Office (Word, Excel, Access, and Outlook); Strong Power BI, SQL Skills, SQL Server, and Power BI; Strong knowledge of Microsoft Azure, SSAS and data warehousing; Experience with modern analytics ecosystems including cloud data platforms