Skip to main content
Header Image

Mid America Search – the Insurance Recruiter. And one of the world’s best Insurance Recruiters.

Director, Data Management & Data Governance | Profile 12239

EXECUTIVE PROFILE

Strategic and results-driven analytics and data management executive with extensive experience leading enterprise analytics, data governance, business intelligence, cloud modernization, and AI-enabled transformation initiatives within financial services, healthcare, banking, and consulting environments. Proven success building scalable analytics capabilities, improving data quality and reliability, modernizing cloud data platforms, and driving enterprise adoption of predictive analytics, automation, and AI technologies. Recognized for aligning analytics strategy with business objectives, strengthening governance frameworks, improving operational efficiency, and delivering actionable insights to executive leadership. Experienced leading cross-functional teams including BI developers, analysts, data engineers, architects, and governance professionals in highly regulated industries.

CORE COMPETENCIES

  • Enterprise Analytics & Data Strategy
  • Data Governance & Stewardship
  • AI, GenAI, Machine Learning & Predictive Analytics
  • Cloud Analytics Platforms & Data Modernization
  • Business Intelligence & Self-Service Reporting
  • Data Quality, Lineage & Metadata Management
  • Data Warehousing & Medallion Architecture
  • Agile & DevOps Analytics Delivery
  • Executive Reporting & Strategic Planning
  • Cybersecurity, Risk & Compliance Controls
  • Data Literacy & Organizational Enablement
  • Vendor Management & Technology Roadmaps

PROFESSIONAL EXPERIENCE

ENTERPRISE ANALYTICS & DATA LEADERSHIP

Directed enterprise analytics, business intelligence, data governance, cloud modernization, and AI transformation initiatives for financial services, healthcare, banking, and consulting organizations. Led modernization of analytics ecosystems, improved governance maturity, and strengthened enterprise decision-making capabilities.

Selected Accomplishments:

  • Improved enterprise data reliability by up to 35% through implementation of proactive monitoring, multi-tier alerting, and analytics-driven operational controls.
  • Increased analytics and reporting system uptime from 82% to 97%, including achievement of 99.9% uptime within mission-critical enterprise environments.
  • Reduced software and data defects by as much as 70% through enhanced testing, governance standards, and quality control initiatives.
  • Led transition from legacy and on-premise data environments to modern cloud analytics platforms including Snowflake, Azure, AWS, and Databricks.
  • Established self-service analytics environments utilizing Tableau, SSRS, Power BI, and related BI technologies, significantly improving enterprise access to actionable insights.
  • Designed and implemented Medallion Architecture frameworks to improve data curation, consistency, and accuracy across analytics pipelines.
  • Created and led enterprise Data Governance and AI Steering Committees to align analytics, cybersecurity, compliance, and responsible AI initiatives.
  • Built foundational MLOps and AI governance capabilities including model monitoring, lineage tracking, lifecycle controls, and AI policy standards.
  • Integrated AI copilots and automation-first analytics workflows to improve operational efficiency and accelerate decision-making.
  • Directed enterprise data warehouse, BI, governance, data quality, and analytics support functions while partnering closely with executive leadership teams.
  • Established governance standards, stewardship models, and data literacy programs that improved consistency, reduced duplication, and elevated organizational analytics maturity.
  • Improved development and delivery efficiency by implementing Agile and DevOps methodologies across analytics and technology teams.
  • Managed modernization initiatives involving platform engineering, software development, server consolidation, and infrastructure standardization to support advanced analytics and AI workloads.
  • Strengthened cybersecurity and compliance posture through implementation of HIPAA-aligned controls, audit remediation initiatives, and enterprise data security governance.
  • Led large-scale database migration and consolidation efforts involving more than 300 databases, improving enterprise analytics performance and operational reliability.
  • Applied industry frameworks including TOGAF, Zachman, DAMA, ITIL, and Six Sigma to improve governance, architecture alignment, and analytics delivery effectiveness.
  • Advised organizations on long-term analytics strategy, data architecture, governance frameworks, and AI readiness initiatives.

TECHNICAL EXPERTISE

Python, SQL, Databricks, Snowflake, Azure, AWS, Redshift, S3, Glue, Tableau, Power BI, SSRS, SSAS, Cognos, Looker, SQL Server, Oracle, DB2, PostgreSQL, Microsoft Fabric, Data Warehouse Architecture, Erwin, Machine Learning, AI, GenAI, LLM Architectures, AI Copilots, DevOps, ServiceNow, Salesforce, Collibra, Alation, CrowdStrike, Arctic Wolf, ESRI, ITIL, Six Sigma

EDUCATION & CREDENTIALS

  • Bachelor of Arts in Computer Science
  • Certified Data Management Professional (CDMP) — In Progress

PROFESSIONAL AFFILIATIONS & KNOWLEDGE AREAS

  • Data Management & Governance Best Practices
  • Enterprise Architecture & Data Standards
  • Regulatory Compliance & Risk Management
  • NIST, HIPAA, ISO27001, GDPR, and CCPA Framework Familiarity

Should you have an interest in this Candidate, please complete the Contact Us Form below. Thank you for your inquiry.

If you prefer, back to the hub; our Home page.

Contact Us Form

*Required

Please Do Not Upload Same File Twice, Second Attempt Will Fail.

Top