Expert Procurement Services Master Data

PG&E Corporation•Oakland, CA

47d•$114,000 - $162,000•Hybrid

About The Position

The Expert Procurement Services Master Data role plays a key role in ensuring the integrity, accuracy, and governance of procurement-related master data. This individual contributor is responsible for maintaining and improving data quality, supporting the optimization of data processes, and supporting procurement transformation initiatives through effective data management. This individual collaborates with cross-functional teams, including Procurement, IT, and Supply Chain, to support development of and enforce data governance policies, support automation, and enhance reporting capabilities. This role requires expertise in data management, strong analytical skills, and the ability to translate business needs into data solutions that support procurement efficiency and decision-making. Key responsibilities include creation, maintenance, and governance of procurement master data while ensuring data accuracy, completeness, and compliance. The ideal candidate has a strong background in data management, and experience in data governance frameworks, data quality management, and process automation. This position is hybrid, working from your remote office and your assigned work headquarters. PG&E is providing the salary range that can reasonably be expected for this position at the time of the job posting. This salary range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The decision will be made on a case-by-case basis related to these factors. This job is also eligible to participate in PG&E's discretionary incentive compensation programs.

Requirements

Bachelor's degree or equivalent combination of education and experience with an emphasis in Business, Finance, Computer Science, Engineering or MIS.
6 years of experience in data management, data governance, data quality, reference (master) data management, and/or designing and implementing functional systems and data in a structured process.

Nice To Haves

Knowledge of data management best practices, compliance requirements, and regulatory standards (e.g., SOX).
Experience in working with complex, cross-functional teams.
Experienced in supporting enterprise-wide initiatives to drive awareness and improvements around data quality and data management maturity.
Experience with coaching and mentoring others.
Excellent verbal and written communication skills to drive engagement, adoption, and inform the business.
Proven ability to establish and cultivate relationships with vendors and business SMEs.
Excellent analytical skills, organizational skills, and attention to detail.
Proficiency in data governance landscape, processes, and design principles.
Proficiency in business process mapping and design.
Ability to translate between data management and Procurement principles
Prior experience working with ERP systems (i.e., SAP) and procurement platforms (i.e., Ariba)

Responsibilities

Supports the creation, maintenance, and governance of procurement master data, including vendor, material, contract, and pricing data.
Acts as the primary contact for questions, issues, and problems for multiple datasets.
Communicates the business value of data management maturity efforts and how data management maturity activities support them.
Develop a deep understanding of current and future needs of business SMEs.
Leads efforts that drive continuous improvement and monitoring of data management maturity.
Maintains and shares in-depth knowledge of how data is collected, maintained, and interpreted in the organization.
Develops and refines data quality, metadata, and management maturity standards and policies.
Leads both processes and cultural change for data management and governance functions.
Facilitates governance discussions, provides guidance, and best practices, documents agreed upon data policies and standards, and enforces activities.
Partners with data owners, data architects, data scientists, and engineering teams to meet the data needs of the business.