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Open nowFirst seen 6 days ago

Data Architect (SAP Data exp) Emeryville, CA

ESRhealthcare and EXEC STAFF RECRUITERS1,405 open roles

Where
Emeryville, CA, USA
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Your applicationOpen nowData Architect (SAP Data exp) Emeryville, CAESRhealthcare and EXEC STAFF RECRUITERS · Emeryville, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ESRhealthcare and EXEC STAFF RECRUITERS's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 6 days ago

The posting

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
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