Data Architect (SAP Data exp) Emeryville, CA

EXECUTIVE RECRUITERS
Emeryville, CA, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Business Analytics Applications Data Analysis Data Architecture Data Governance Data Visualization Machine Learning SAP (Applications) SAP NetWeaver Data Management Enterprise Data Management System Availability Information Technology
+2 more
Data Lineage Data Management

Job description

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

Requirements

DataArchitect Data Modeling Tool, SAP, Data Science, Data Analysis, Artificial Intelligence (AI), Data Visualization Tools, Predictive Modeling, Machine Learning, Statistics, Regulatory Compliance, * 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

About the company

ESR Healthcare

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