Enterprise Data Management Director

Ranked among the largest accounting and consulting firms in the country and consistently recognized as a Great Place to Work (), Cherry Bekaert delivers innovative advisory, assurance and tax services to our clients. We are proud to foster a collaborative environment focused on enabling your career growth and continuous professional development. We are looking for an Enterprise Data Management Director. The Enterprise Data Management Director is a senior leadership role responsible for defining, building, and scaling the firm’s enterprise data, analytics, and AI capabilities.

This role provides strategic direction while remaining actively involved in hands‑on execution, ensuring that data platforms, models, and analytics solutions deliver measurable business value.

The role will lead the transformation of an established modern data foundation into a business‑ready, trusted, and scalable enterprise data environment. This includes designing enterprise data models, improving data quality and governance, accelerating analytics delivery, and enabling data‑driven decision‑making across service lines and corporate functions.

• Provide leadership to team including coaching, mentoring and professional development or oversight to a department. Responsible for providing performance feedback on a regular basis.
• Develop and implement enterprise data, analytics, and AI strategies that align with the Firm’s overall goals, growth objectives, and operating model.
• Lead the design, development, and evolution of a business‑ready enterprise data environment that enables trusted reporting, analytics, and decision‑making.
• Partner and collaborate with business leaders, technology teams, and cross‑functional stakeholders to understand requirements, prioritize initiatives, and ensure business needs are met.
• Translate business strategy into actionable data initiatives that deliver measurable value across service lines and corporate functions.
• Provide hands‑on technical leadership in data architecture, modeling, integration, analytics, and reporting, establishing best practices and standards.
• Establish and enforce data governance, data quality, security, privacy, and compliance frameworks to ensure reliability and responsible use of data.
• Build, lead, and develop a high‑performing enterprise data team, fostering an environment that supports professional growth, learning, mentorship, and career development.
• Define roles, responsibilities, and operating processes to enable effective collaboration between data, technology, and business teams.
• Efficiently manage departmental resources, including budget, staffing, tools, and vendor relationships, to maximize productivity and achieve delivery targets.
• Oversee the planning and execution of data initiatives, ensuring timely delivery, scalability, and alignment with business priorities.
• Support growth initiatives, including forecasting, performance management, and integration of data from acquisitions and new systems.
• Promote data literacy and a data‑driven culture by enabling self‑service analytics and improving stakeholder confidence in enterprise data.
• Communicate progress, risks, and outcomes effectively to executive leadership, ensuring transparency and accountability for results.

• Bachelor’s Degree in Information Technology, Computer Science, Engineering, Management Information Systems, or a related field.
• 15+ years of progressive technology experience in data and analytics, with 5 years in senior leadership roles leading cross‑functional teams and enterprise‑wide D&A programs.
• Ability to develop, implement, and execute enterprise data, analytics, and AI strategies aligned with organizational goals, growth objectives, and client needs, with clear accountability for outcomes.
• Deep technical expertise in modern data architectures, including enterprise data lakes, business‑ready relational data models, and analytics platforms, with the ability to remain hands‑on when needed.
• Strong hands‑on technical skills in SQL, data modeling, ETL/ELT processes, cloud‑based data platforms, and enterprise analytics and reporting tools (e.g.,…