Enterprise Data Governance Business Analyst Manufacturing & AI

Source One is a consulting services company and we’re currently looking for the following individual to work as a consultant with our direct client, an on demand autonomous ride-hauling company in Foster City, CA

No Third-Party, No Corp to Corp, No Sponsorship Now or Future or Temporary Authorization

Title: SP - Enterprise Data Governance Business Analyst Manufacturing & AI

Location: Foster City, CA

Onsite (Mon-Fri, 30 + hours)

Contract Duration: 6 - 12 months, with likely extension

Pay Rate: $107.15 per hour (w2)

We are helping an on-demand, autonomous ride-hailing company hire an Enterprise Data Governance Business Analyst (Manufacturing & AI) to build and scale a Manufacturing Data Control Tower.

In this role, you’ll leverage enterprise data, system signals, and AI to enable real-time visibility, actionable insights, and proactive decision-making across manufacturing operations. You’ll work across systems such as SAP and PLM (3DX) to connect data, identify risks, and drive AI-enabled solutions that improve efficiency and throughput. You’ll also lead AI-focused initiatives and support cross-functional program execution within Enterprise Data Governance (EDG).

The ideal candidate is a strong cross-functional operator with experience in enterprise systems, data-driven initiatives, and emerging AI applications, who thrives in fast-paced, evolving environments.

As an Enterprise Data Governance Business Analyst (Manufacturing & AI), you'll:

Build and support data control tower capabilities, including dashboards, monitoring tools, and exception management workflows.

Enable cross-system visibility and alignment across platforms (e.g., PLM and ERP).

Drive AI initiatives in partnership with EDG leadership, including identifying use cases, prototyping solutions (agents, copilots, workflows), and scaling with IT and engineering teams.

Lead and manage cross-functional programs, including scope definition, timelines, and stakeholder alignment.

Drive automation of data workflows and improve data quality and governance processes.

Partner with Manufacturing, Engineering, IT, and Supply Chain teams to deliver scalable, data-driven solutions.

Develop documentation, generate insights, and support stakeholder communication.

Ideal candidate profile

Soft Skills Strong communication and stakeholder management Ability to operate in fast-paced, ambiguous environments Strong execution and ownership mindset Curiosity and interest in applying AI to real business problems

Daily tasks

The Business Analyst role will focus on building a Manufacturing Data Control Tower, leveraging enterprise data, system signals, and AI to enable real-time visibility, intelligent insights, and proactive decision-making across Zoox manufacturing operations. This role will work across SAP, PLM (3DX), and other systems to connect data, identify risks, and drive AI-enabled solutions that improve operational efficiency and throughput. The role will also own and drive AI initiatives and support program management of cross-functional efforts within EDG. This role is onsite in Foster City, CA and reports to the Head- Business Processes & Enterprise Data Governance.

Required skills

Responsibilities Build and support data control tower capabilities (dashboards, monitoring, exception management) Enable cross-system visibility and alignment (PLM ↔ ERP) Drive AI workstream based on direction from Head-EDG, including: Identifying use cases Prototyping solutions (agents, copilots, workflows) Partnering with IT/Engineering to scale solutions Lead and manage EDG and cross-functional programs (scope, timeline, stakeholder alignment) Drive automation of data workflows and improve data quality and processes Partner with Manufacturing, Engineering, IT, and Supply Chain teams to deliver scalable solutions Create documentation, insights, and support stakeholder communication

Business driver of role

Qualifications Bachelor’s Degree with 8–12 years of experience in data, business analysis, program management, or enterprise systems Experience with SAP and/or PLM (3DX) Experience in manufacturing, automotive, or supply chain environments Experience in AI/ML, automation, or data-driven initiatives, including prototyping use cases Strong analytical skills with ability to connect data across systems Basic understanding of master data (BOM, material, routing) preferred