Enterprise Data Analytics Manager

About the role

Step into a pivotal leadership role with a premier technology leader in the utility and smart infrastructure sector. We are seeking an Enterprise Data Analytics Manager to build and modernize an enterprise-wide data and analytics practice from the ground up. If you are a strategic visionary with hands-on architectural expertise who enjoys bridging technical data infrastructure with overarching business goals, this is the opportunity for you. You will drive the shift from fragmented reporting to centralized, high-value data capabilities. This hybrid position comes with a comprehensive benefits package, including medical, dental, and vision coverage.

Location: Duluth, Georgia | Job type: Permanent

Responsibilities

• Lead, mentor, and elevate a dedicated internal team of data analysts and engineers while overseeing key technical vendor relationships.
• Establish and enforce robust data governance policies, master data management frameworks, and quality standards across the organization.
• Architect and launch a modernized cloud data lake and warehouse ecosystem to centralize enterprise reporting.
• Act as the primary data authority for major enterprise transformation initiatives, including a large-scale ERP implementation.
• Oversee data requirements, legacy cleansing, transformation logic, and post-migration readiness to ensure master data consistency.
• Partner with cross-functional leaders in sales, finance, marketing, and operations to develop durable, self-service data products like pricing analytics and customer insight models.
• Champion data literacy across the business by providing intuitive dashboards and leading comprehensive training programs.

Qualifications

• 7 to 10 or more years of progressive professional experience focusing on enterprise data management, business intelligence, or data architecture.
• Demonstrated experience in people management, including direct oversight of technical teams and vendor partnerships.
• Proven track record of managing enterprise master data governance, taxonomy strategy, and data quality frameworks.
• Direct hands-on involvement leading data profiling, cleansing, and mapping workstreams within large-scale ERP implementations.
• Solid working knowledge of cloud data warehousing, SQL pipelines, modern integration tools, and enterprise