Data Architect 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
• Bachelors 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 Outlets 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