Head of Business Data - Technology, Data, & Operations

Truist Bank•Charlotte, NC

20h•Onsite

About The Position

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 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.

Requirements

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.

Nice To Haves

Expert in solution designs based upon business requirements
Experience in building financial services data strategy
Experience in leading business data governance across processes and solutions.
Experience in data architecture, solution architecture and/or designing enterprise business processes.
Skills demonstrated in data engineering, computer engineering, data transformation (ETL), digital transformation and cloud computing
DAMA CDMP certification (Practitioner or Master level).
Experience standing up a data product / data mesh operating model with federated governance.
Experience making data AI- and agentic-ready in a regulated setting, including adherence to all related data management, model, and AI governance requirements.
Experience owning data end-to-end, from authoritative source through certification, lineage, quality measurement, and consumption. This includes operational data such as application inventories, configuration management, entitlements, and incident and change records.
Experience building advanced and nimble business analytics capabilities that deliver rapid, decision-grade insight to executive leadership and support regulatory and board reporting.

Responsibilities

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.