Job Openings Data Architect (SAP Data exp) Emeryville, CA

About the job Data Architect (SAP Data exp) Emeryville, CA

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

Job Details:

Experience & Expertise

  • 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.


Leadership & Skills

  • 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

Job responsibilities


Strategic Leadership & Vision

  • Define and execute comprehensive data science, da ta 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


AI & Data Science Development

  • 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


Data Governance & Management

  • 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


People & Team Leadership

  • 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


Performance & Value Realization

  • 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