Supply Chain Management Data Lead

Supply Chain Management Data Lead

Location: Oakland, CA

Onsite Flexibility: Hybrid 2 days onsite per week

Job Details

• Position Type: Direct Hire
• Start: June 15, 2026
• Pay / Salary: $128,000 $218,000 / Year (USD)
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

Enterprise Business & Technology Modernization is a cross-functional organization leading the Propel program, a major business and technology modernization initiative designed to unlock customer value by simplifying collaborative work processes. Propel will migrate the organization to the new version of SAP, S/4HANA, presenting a unique opportunity to standardize business processes, clean the technology core, and enable innovation for breakthrough change across Engineering, Operations, Finance, Supply Chain, Human Resources, and Information Technology. Through a phased approach, Propel will implement process standardization, operating model changes, data improvements, SAP, and other technology applications with a focus on incrementally improving business capabilities and delivering value.

Enterprise Business & Technology Modernization is comprised of multi-disciplinary coworkers with deep functional and industry expertise to design and implement end-to-end business processes and technology solutions following industry-leading practices. The team partners closely with IT and external partners to work collaboratively with many stakeholders to adopt standard processes and maximize the use of out-of-the-box proven technology solutions to meet business needs. Each role in this department offers immense career growth potential and a once-in-a-lifetime opportunity to accelerate the outcomes of the True North Strategy and deliver for our customers.

The Supply Chain Management Data Lead (Systems Analyst, Principal) will play a pivotal role in the Propel program, leading the data workstream within the Supply Chain functional team. This role will have accountability to execute Propel Program master data governance efforts for the Supply Chain functional workstream, provide sign-off around data conversion strategy, data governance plan, data retention and archiving, reporting, data quality assessment, and data cleansing approach and plan. This role requires a deep understanding of core SAP SCM modules MM (Material Management) and EWM (Extended Warehouse Management) as well as extended Procurement solutions Ariba, Fieldglass, and Icertis. The ideal candidate will possess the ability to drive cross-functional collaboration to achieve strategic objectives and will be responsible for ensuring alignment with Supply Chain and Propel's goals of standardizing business processes, enhancing data quality, and enabling technological innovation for the future state STP design. This position is hybrid, working from your remote office and Oakland on business needs or company requirements.

This opportunity is a key leadership role within the Propel program, which is currently driving the transformation from SAP ECC to S/4HANA. The position serves as a strategic liaison across the PMO, Propel program team, Center of Excellence (COE), Master Data organization, and Supply Chain functions, ensuring alignment between business objectives, data strategy, and system implementation. The role will initially be an individual contributor position focused on strategy, data governance, and analytics leadership, with the expectation of evolving into a people leadership role responsible for building and managing a team. This job is also open for relocating candidates and they will be eligible for relocation benefits.

Key Responsibilities

• Data Governance: Build and enforce standard naming conventions, global metadata rules, and rigid validation logic across the enterprise.
• Quality Auditing: Run routine master data compliance audits to proactively address profile discrepancies or missing fields.
• Lifecycle Migration: Drive technical execution for data cleansing, profiling, and loading during migrations like SAP ECC to S/4HANA.
• Module Integration: Validate functional relationships between foundational materials records and logistics execution modules.
• Stakeholder Management: Translate technical data parameters into operational requirements during functional blueprinting workshops.
• Supports the development of others by coaching on analytical techniques, data gathering techniques, and current system documentation.
• Discovers, analyzes, and documents data issues for future conversion and integration efforts.
• Provides subject matter expertise on projects to implement and enhance enterprise Supply Chain business applications.
• Supports the development and sharing of internal best practices and standards to enhance delivery efficiency, quality, and repeatability.
• Identify areas requiring data profiling and cleansing.
• Identify data requirements related to reporting and analytics to be designed.
• Identify and engage key stakeholders from various functional areas to support data quality assessment, conversion, reporting & analytics, governance, and archiving process.

Required Skills

• Experience with SAP MM (Materials Management) required.
• Deep expertise in supply chain data and analytics and enterprise data management.
• Ability to drive program needs, influence stakeholders, and provide strategic direction.

Preferred Skills

• SAP Module Depth: Advanced functional knowledge of SAP MM (Materials Management) and EWM (Extended Warehouse Management).
• Master Data Domains: Expertise governing specific asset fields like Material Master, Vendor Data, Source Lists, and Bills of Materials (BOM).
• Analytics Integration: Experience linking operational tables to advanced modules like SAP IBP and Ariba with analytical platforms.
• Experience with merging Large Language Models (LLMs) and data analytics to develop business insights.
• Exposure to SAP PP, Warehouse Management, Ariba, Fieldglass, Snowflake, data modeling, SQL, warehouse repositories, and asset management systems.
• Proven track record of successfully working in cross-functional projects and teams.
• Able to present highly complex data and findings to internal and external stakeholders.
• Strong change management mindset.
• Excellent communication, leadership, and stakeholder management skills.
• Ability to manage multiple priorities and deliver results in a fast-paced environment.
• Strong analytical and problem-solving skills.
• Influence, negotiation & persuasion skills to gain agreement on recommended process improvement.
• Adaptable to changing business conditions and ambiguity.
• Ability to interact, collaborate and work effectively with various organizational levels (from line employees to managers to directors to officers).
• Utility industry experience preferred but not required; candidates from other industries with experience managing complex enterprise data ecosystems of similar scale will be considered.
• Experience leveraging AI, developing data-driven insights, and familiarity with natural language recognition technologies.

Education Requirements

• Bachelor of Science in Management Information Systems, Data Analytics, Supply Chain, Computer Science, or related field, or equivalent work experience required.
• MBA or equivalent graduate degree preferred.

Required Experience

• 10 years of related or equivalent experience.

About the Client

Leading natural gas and electric energy company serving millions of customers across the United States. Offers reliable energy delivery and a positive work environment. Join our team and make a difference in your community.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-07076 Industry: Data & Analytics

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