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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