Data Architect; SAP Data exp Emeryville, CA

Data Architect(SAPDataexp) – Emeryville, CA

Terms:

Contract (Only on W2)

• 12+ years of experience indatascience, analytics, ordatagovernance roles
• 5+ years leadingdatascience, AI, or enterprise analytics functions at a senior level
• Proven track record of successfully delivering AI and analytics solutions that drive measurable business impact
• Deep knowledge of machine learning techniques, predictive modeling, statistical analysis, anddatavisualization tools
• Strong understanding ofdatagovernance frameworks,data privacy, security, and regulatory compliance (e.g., CCPA, GDPR)
• Experience building and scaling analytics anddatateams within retail, consumer products, or supply chain organizations
• Bachelor’s degree in computer science,Data Science, Engineering, or related field required;
  Masters or advanced degree strongly preferred
• Experience with
  
  SAPDatamodels and familiarity with various functions within
  
  SAPwill be a big plus.

• Exceptional executive communication and stakeholder engagement capabilities
• Collaborative and inclusive leader who builds strong relationships across business and technology functions
• Skilled at translating complexdataconcepts into clear business insights and strategic recommendations
• Metrics-driven and outcome-focused; disciplined in demonstrating the ROI of analytics investments
• Strong team-builder and mentor with a proven ability to attract, grow, and retain analytics talent
• Innovative thinker who proactively explores new techniques, tools, and industry trends

• Define and execute comprehensivedatascience,da tagovernance and AI strategy aligned with corporate priorities
• Act as an influential advisor to executive leaders and business stakeholders on leveraging AI anddata-driven insights
• Champion the responsible and ethical use of AI anddata, ensuring that all initiatives balance business value with transparency, security, and regulatory compliance
• Lead the development and execution of Grocery Outlet’s enterprisedatagovernance framework

• Lead the vision and roadmap for advancing enterprisedatacapabilities and scaling AI, and advanced analytics across core business areas
• Lead enterprisedatadevelopment initiatives to improvedataquality, cleanse and standardize master data
• Drive close collaboration across thedatateam, businessdataorganization, IT, and functional stakeholders to accelerate prototyping, testing, and deployment of analytics solutions
• Stay current on emerging AI techniques, platforms, and trends; introduce innovation and best practices

• Establish and enforce standards, policies, and procedures fordataquality, accuracy, security, privacy, and compliance
• Oversee the design and implementation ofdatalineage, and masterdatamanagement (MDM) practices
• Collaborate closely with Enterprise Data Architect to ensuredataavailability, integrity, and accessibility across the enterprise
• Define and publish KPIs and metrics fordatagovernance effectiveness and maturity

• Recruit, build, and lead high-performing teams ofdata& AI engineers, anddatagovernance specialists
• Foster a culture of collaboration, accountability, and continuous learning within your teams
• Provide coaching and professional development to drive growth and career progression
• Manage relationships and performance with external vendors, consultants, and analytics partners

• Measure, track, and communicate the business impact and value of AI anddatainitiatives
• Develop clear success criteria, metrics, and dashboards for analytics-driven outcomes
• Partner with Finance and the PMO to quantify and articulate the ROI of investments in AI,data science, and governance
Ensure transparency, timely delivery, and alignment of analytics projects with organizational goals