Head of Business Data - Technology, Data, & Operations

Regular or Temporary:
Regular Language Fluency:
English (Required)

Work Shift:

1st shift (United States of America)

The Head of Business Data is the executive leader for the quality of Technology, Data & Operations (TD&O) data and for how that data is used across the business unit. This role carries end-to-end responsibility for TD&O's data, from authoritative source through certification and lineage to consumption, including business data governance, data management, reporting, and analytics. This leader owns TD&O's adherence to the enterprise data governance policy: data ownership and accountability, business data stewardship, the inventory of data-critical business processes, critical data element identification and quality measurement, and the resolution of data issues and sub-issues.

The role is accountable to governance requirements established by the Chief Data Governance Officer and partners with the Business Unit/Corporate Functions CDOs, the Chief Divisional Technology, Data, and Operations Officer, and division leaders to execute the business strategy in alignment with the enterprise data strategy. This is a critical role - TD&O's ability to run and modernize its operations depends on data the business unit can trust.

The leader also directs TD&O's use of that data to deliver management insight into performance and operations, including an advanced and nimble analytics capability that turns TD&O data into rapid, decision-grade insight, and the innovation agenda that comes with it across analytics, data science, and modeling. Making TD&O data ready for AI and agentic use is central to the role: certified, well-governed data is the precondition for AI consumption, in adherence with all related data management and AI governance requirements.

This is a senior leadership role. The Head of Business Data leads the TD&O data organization, including hiring, team development, delivery culture, and cross-functional execution, and represents TD&O in executive forums and senior committees, partnering, negotiating, and influencing across technology and business teams.

• Develop and execute the business unit/corporate functions (BU/CF) data & analytics strategy and roadmap. This includes coordination with the Chief Business Execution & Risk Officer, BU/CF CDO, and the Chief Divisional Technology, Data, and Operations Officer to align the strategy with the business vision and priorities.
• Partner across C-Level executive business leaders to transform the business through cultivating data driven decision-making and enabling data analytics to re-engineer processes to grow and sustain the business.
• Coordinate with the Chief Data Governance Officer to align BU/CF roadmap to data governance priorities, roadmap, and risk/regulatory commitments.
• Provide regular updates to C-Level BU/CF executives and business unit committees regarding progress across key business initiatives and data risk in relation to appetite.
• Drive accountability within the BU/CF for data ownership and sound data management practices including partnering with business leaders to resolve open data issues and sub-issues.
• Own and maintain the BU/CF inventory of data critical business process and partner with process owners to drive adherence to governance requirements.
• Oversee the business data stewards and partner across the company to implement and sustain data governance requirements across data critical processes and critical data elements.
• Oversee implementation of the enterprise data strategy within the BU/CF and partner with business leaders to drive modernization efforts, AI enablement, and consumption of data from governed data sources.
• Manage and execute innovation across data analytics, data science (AI/ML), reporting and modeling.
• Partner with the AI & Data Office to define the target state tools, solutions, and capabilities to execute on the business strategy.
• Partner across Truist to achieve the business unit data strategy and roadmap objectives, while bringing best in class industry practices to improve people, process and technology.
• Accountable to manage the business analytics, data science, data stewards and reporting teams that can span 50-200 teammates.
• Maintain knowledge of emerging industry practices and technologies while bringing those new practices to Truist.

• Undergraduate degree in either computer science, information systems, analytics, data engineering, finance or equivalent degree
• Fifteen years of data management experience inclusive of driving enterprise data strategy, data execution, data engineering or software delivery
• Expert problem solving skills and being able to define detailed strategies
• Experience in financial services or payments industry
• Experience in meeting regulatory obligations and operating in a highly regulatory environment
• Experience partnering with C-Level executives to accomplish business objectives.

• Expert in solution designs based upon…