Data, Analytics & Business Intelligence Leader

Truist•Atlanta, GA

3d•Onsite

About The Position

The Head of Business Data is the executive leader accountable for the delivery and management of business data governance, data management, reporting, and analytics. This role owns the business unit data organization, delivery culture, hiring and team development, cross-functional delivery execution, and the operational discipline required to transform the business through data and analytics enablement. The Head of Business Data is accountable to adhere to governance requirements established by the Chief Data Governance Officer and partner with the Business Unit/Corporate Functions CDOs, Chief Divisional Technology, Data, and Operations Officer, and business unit leaders to execute on the business strategy in alignment with the enterprise data strategy. Must be able to communicate and interact effectively with C-Level BU/CF executives, in senior level committees and with regulators on data related topics. Must be able to partner, negotiate, influence and balance priorities across multiple technology and business unit 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 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.

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.