Data Architect Emeryville, CA

Data Architect (SAP Data exp) Emeryville, CA
Terms:
Contract (Only on w2)

• 12+ years of experience in data science, analytics, or data governance roles
• 5+ years leading data science, 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, and data visualization tools
• Strong understanding of data governance frameworks, data privacy, security, and regulatory compliance (e.g., CCPA, GDPR)
• Experience building and scaling analytics and data teams 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 SAP Data models and familiarity with various functions within SAP will 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 complex data concepts 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 comprehensive data science, data governance and AI strategy aligned with corporate priorities
• Act as an influential advisor to executive leaders and business stakeholders on leveraging AI and data-driven insights
• Champion the responsible and ethical use of AI and data, ensuring that all initiatives balance business value with transparency, security, and regulatory compliance
• Lead the development and execution of Grocery Outlet’s enterprise data governance framework

• Lead the vision and roadmap for advancing enterprise data capabilities and scaling AI, and advanced analytics across core business areas
• Lead enterprise data development initiatives to improve data quality, cleanse and standardize master data
• Drive close collaboration across the data team, business data organization, 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 for data quality, accuracy, security, privacy, and compliance
• Oversee the design and implementation of data lineage, and master data management (MDM) practices
• Collaborate closely with Enterprise Data Architect to ensure data availability, integrity, and accessibility across the enterprise
• Define and publish KPIs and metrics for data governance effectiveness and maturity

• Recruit, build, and lead high-performing teams of data & AI engineers, and data governance 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 and data initiatives
• 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