Clean Energy AI and Automation Section Manager - CES Digital Products

The Section Manager will lead the AI and Automation Delivery team in the CES Digital Products organization, responsible for the successful execution and implementation and ongoing support of AI and automation use cases for business organizations. This role provides direct oversight of the project lifecycle for AI and automation solutions, from intake to final delivery.

This role functions at the intersection of business needs and technology, with a primary focus on the rapid and effective identification and delivery of solutions. The successful manager in this role will be dedicated to identifying and executing on prioritized use cases that provide immediate value to business units, ensuring that all projects align with the enterprise technical and operational standards.

The Section Manager will oversee the development and delivery of AI/Automation solutions, ensuring that their team has the necessary technical proficiency to execute on project goals and customer requirements. This leadership role is centered on managing the successful delivery of a portfolio of AI and automation cases through a functional support model that connects business requirements and the technical implementation of solutions.

Required Education/Experience
- Bachelor's Degree and minimum of 8 years related experience.

Relevant Work Experience
- Experience managing multi-million dollar program budgets, executing strategic resource allocation and providing administrative/operational Experience managing multi-million dollar program budgets, executing strategic resource allocation and providing administrative/operational oversight for internal staff, external vendors and specialized contractors, required.
- 3-5 years Demonstrated experience developing and managing comprehensive data governance practices including data quality management, privacy standards, and strategic data accessibility frameworks, required.
- 3-5 years Experience directing or leading technical initiatives within clean energy, energy efficiency, distributed energy resources or electrification portfolios with a proven ability to translate clean energy business objectives into advanced digital products and capabilities, required.
- 3-5 years Demonstrated ability to develop and execute on an accelerated evaluation and selection process for technologies with a key focus on targeted delivery metrics, preferred.
- 3-5 years Experience leading complex software deployment cycles and overseeing strict quality assurance frameworks, cyber safety controls and system testing processes, preferred.
- 3-5 years Demonstrated experience building or overseeing modern MLOps pipelines, AI/Machine Learning and automated workflow solutions through the full delivery cycle, preferred.
- 3-5 years Experience leading the end-to-end technology development lifecyclefrom conceptualization and design through a delivery and ongoing support model for successful business adoption. Proven ability to lead digital initiatives that optimize operations, eliminate manual task-based workflows, and drive organization-wide consistency through standardized digital processing of records and data for utilization in business analytics applications, preferred.
- Exceptional communication skills with a track record of managing high level stakeholder relationships, presenting complex program statuses and roadmaps clearly to leadership teams and fostering collaboration between business units and enterprise technology groups, preferred.

Licenses and Certifications
- Driver's License Required

Additional Physical Demands
- The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.
- The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.