Senior Manager, Enterprise Data Products

First Citizens Bank•Raleigh, NC

8h•Hybrid

About The Position

This hybrid role is based in Raleigh or Charlotte, North Carolina, or Phoenix, Arizona. The Senior Manager leads a team that advances technical innovation and continuous improvement through enterprise data product management. The role directs initiatives to improve enterprise data quality, governance, reporting, and analytics, and provides expert guidance to associates, management, and lines of business. It defines and executes data product strategies, roadmaps, and priorities in alignment with enterprise objectives and business outcomes. The position provides strategic direction to cross-functional teams, implements data management process improvements, and partners with business, technology, risk, and data teams to deliver trusted, scalable data products and solutions. The manager leads projects and process improvements that enhance enterprise data quality, management, and storage. The role oversees data profiling, exception reporting, analysis, issue resolution, and general fixes for the Enterprise Data Warehouse; creates department and enterprise-wide data policies and procedures; oversees data validation and reporting; and directs technical documentation and process enhancements. It also manages staff performance, training, evaluation, and professional development, and supports the Bank’s data management strategy while maintaining knowledge of technologies and trends affecting financial services.

Requirements

Bachelor’s degree and 8 years of experience, or high school diploma/GED/equivalent and 12 years of experience, in Risk Management including Enterprise Data Warehouse.
Strong experience in banking, regulatory reporting, enterprise data warehouses or data lakes, AWS, and Snowflake.
Experience leading end-to-end data product strategy, vision, roadmap development, prioritization, delivery, and lifecycle management.
Expertise in data product management, including defining and measuring KPIs, adoption metrics, operational metrics, and business value.
Track record of leading large-scale data, analytics, and cloud transformation initiatives using Agile methodologies such as Scrum, SAFe, and Kanban.
Experience partnering with business, technology, and data stakeholders to translate business needs into scalable data products and solutions.
Excellent communication, stakeholder management, and executive presentation skills, including the ability to influence business and technology leaders.
Knowledge of emerging technologies and trends affecting financial services and banking.

Responsibilities

Lead projects and process improvements that enhance enterprise data quality, management, and storage.
Manage a team of associates who facilitate data management initiatives.
Direct data profiling, exception reporting, data analysis, issue resolution, and general fixes for the Enterprise Data Warehouse.
Delegate work and adjust assignments to support appropriate data governance.
Create data policies and procedures for department and enterprise-wide use.
Review associate feedback to identify improvements to data management capabilities.
Oversee data validation and reporting to ensure data quality and completeness before business use.
Direct the creation and maintenance of technical documentation for the Enterprise Data Warehouse.
Modify Enterprise Data Warehouse processes to improve efficiency.
Establish and monitor expectations for achieving company and department goals.
Adjust team policies, procedures, and processes to meet objectives.
Manage assigned staff performance, training, and evaluation, and support their professional development.
Facilitate implementation of strategies and process improvements that develop the Bank’s data management capabilities.
Serve as an expert data resource to management, associates, and project teams.
Define and execute data product strategies, roadmaps, and priorities aligned with enterprise objectives and business outcomes.
Provide strategic direction to cross-functional teams and partner with business, technology, risk, and data teams to deliver data products and solutions.