Data Architect

Overview

Reporting to the VP of Development & Data, you will build and lead a team focused on leveraging data‑driven insights and advanced analytics to optimize decision‑making, improve operational efficiency, and drive strategic business value across Grocery Outlet. Your role will guide the design and implementation of Grocery Outlet’s data science, AI, and data governance programs, ensuring robust data management, governance practices, and innovative AI‑enabled solutions that support key business areas such as merchandising, supply chain, marketing, and operations.

You will collaborate closely with senior stakeholders across Business Intelligence, Enterprise Data Architecture, and Business Solutions to align data and analytics investments with enterprise goals. As a visionary, strategic leader, you combine deep technical expertise with strong business acumen and excellent stakeholder communication to turn data into actionable insights that move the needle.

• Define and execute a 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 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.

• 12+ years of experience in data science, analytics, or data governance roles.
• 5+ years of senior leadership in data science, AI, or enterprise analytics functions.
• Proven track record of 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;
  Master’s or advanced degree strongly preferred.
• Experience with SAP data models and familiarity with various functions within SAP is a 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.