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.

Key Skills

Fund Management,Drafting,End User Support,Infrastructure,Airlines,Catia

Employment Type : Full Time

Experience : years

Vacancy : 1