Data Architect (SAP Data exp)

Role: Data Architect (SAP Data exp)

Location: Emeryville CA (3 days a week)

Job Description
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 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 that all initiatives balance business value with transparency security and regulatory compliance

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.