Data Architect (SAP Data exp) Emeryville, CA

About the role

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