In this role, the selected candidate will be leading the establishment of data governance roles, policies, processes, and standards that are in line with organizational priorities, and working with Data Stewards in IT and the business to enforce and ensure data is used and maintained properly. The successful candidate will have demonstrated proficiency in promoting efficient, accurate records, and effective information/data management throughout the organization. Must have good interpersonal relationship-building skills & strong written and verbal communication skills. Must be able to work independently with minimal supervision. Knowledge of utility operations is a significant plus. The main tasks/responsibilities will include leading the design of a data governance framework and processes to make it easy to find, access, and understand data and solve data quality issues. The candidate will work in close partnership with cross-functional teams throughout the organization to evaluate and drive data governance processes. Collaboration with the data governance council, business, and data & analytics teams will be essential to provide oversight and uncover ongoing data governance opportunities. The candidate will identify and define the right strategies to integrate Master Data with other operational systems that leverage the Master data more efficiently and optimally. Mentoring and upskilling data and analytics teams on data governance will also be a key responsibility. The candidate will ensure Data Governance procedures and data integrity across multiple platforms, instilling confidence and consistency in the quality of data. They will lead the development of data dashboards to supervise data quality, data lineage, and performance, and identify/resolve issues. Coordination of the Data Governance function with the broader AES organization will be necessary, as well as helping to maintain the material master data domain by defining data standards, establishing related business rules and processes, instituting data quality metrics, and supervising master data operations.