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Executive Director Data Strategy & Operations

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Baldwin Group Colleague, Inc.
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Change Management, Data Analyst, AI Business & Operations
  • Management
    Change Management, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 180000 - 250000 USD Yearly USD 180000.00 250000.00 YEAR
Job Description & How to Apply Below
Executive Director, Data Strategy & Operations

The Executive Director, Data Strategy & Operations, is responsible for leading the firm’s data strategy, governance, and operational execution across enterprise platforms, analytics, and reporting capabilities. This role serves as the senior functional leader accountable for translating enterprise strategy into scalable data solutions that improve decision‑making, operational efficiency, regulatory compliance, and business performance. Operating at the enterprise functional level, the Executive Director partners closely with executive leadership, business unit leaders, Technology, Finance, Risk, and Product teams to ensure data assets are governed, accessible, reliable, and aligned to business priorities.

The role oversees multiple data‑related functions, including data governance, quality, analytics enablement, reporting platforms, and operational data services—and drives consistency across regions and business units. This leader balances strategic influence with execution accountability, ensuring that data initiatives deliver measurable value while maintaining strong controls around privacy, security, and regulatory requirements. The Executive Director plays a critical role in shaping the firm’s data operating model, building organizational capability, and enabling data‑driven leadership across the enterprise.

Primary

Responsibilities
  • Define and execute the enterprise data strategy, aligned with business objectives, regulatory requirements, and technology roadmaps.
  • Translate firm‑wide priorities into multi‑year data and analytics initiatives with clear execution plans and measurable outcomes.
  • Design and maintain the enterprise data operating model, including governance structures, decision rights, and accountability frameworks.
  • Establish and oversee enterprise data governance, including data ownership, stewardship, classification, lineage, and quality standards.
  • Ensure compliance with data privacy, security, and regulatory obligations through partnership with Risk, Legal, Cybersecurity, and Compliance teams.
  • Drive data quality management practices to improve accuracy, consistency, and trust in enterprise reporting and analytics.
  • Lead teams responsible for data platforms, reporting solutions, analytics enablement, and operational data support services.
  • Ensure reliable, scalable, and cost‑effective delivery of data products and services across the organization.
  • Oversee prioritization of data initiatives, balancing demand from multiple business units with enterprise value and capacity constraints.
  • Partner with executive and senior leaders to identify opportunities where data and analytics can drive growth, efficiency, or risk reduction.
  • Enable self‑service analytics and reporting capabilities while maintaining appropriate governance and controls.
  • Establish success metrics and performance indicators to track adoption, business impact, and return on investment for data initiatives.
  • Lead and develop senior managers, data leaders, and cross‑functional teams responsible for strategy execution and operations.
  • Build data literacy and capability across the organization through standards, training, and enablement programs.
  • Foster a culture of accountability, collaboration, and continuous improvement within data and analytics functions.
Required Knowledge, Skills & Abilities
  • Deep understanding of enterprise data strategy, data governance frameworks, and analytics operating models.
  • Strong knowledge of data management disciplines, including data architecture, quality, metadata, master data, and reporting platforms.
  • Demonstrated ability to lead large, complex data organizations and deliver outcomes through multiple layers of leadership.
  • Strong business acumen with the…
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