Data Architect; SAP Data Exp

Position: Data Architect (SAP Data Exp)
Job Description:

Pay Range: $80hr - $85hr

• The Data Architect will provide strategic and technical leadership across enterprise data architecture, analytics, AI, and data governance initiatives.

• This role is responsible for defining and executing a comprehensive data strategy aligned with business priorities, driving measurable value through analytics and AI solutions, and ensuring strong governance, security, and compliance practices.

• The ideal candidate brings deep experience with SAP data models and enterprise‐scale data ecosystems, along with proven leadership in building and scaling high‑performing data teams.

Requirement/Must Have

• 12+ years of experience in data science, analytics, data architecture, or data governance roles.

• 5+ years of senior‑level leadership experience leading data science, AI, or enterprise analytics functions.

• Strong experience delivering AI and analytics solutions that drive measurable business impact.

• Deep understanding of data governance frameworks, data privacy, security, and regulatory compliance.

• Experience with SAP data models and familiarity with multiple SAP functional areas.

• Exceptional executive communication and stakeholder engagement skills.

• Proven ability to translate complex data concepts into clear business insights.

Experience

• Experience building and scaling analytics and data teams within retail, consumer products, or supply chain environments.

• Proven ability to define metrics and demonstrate ROI for analytics and AI initiatives.

• Strong background in machine learning, predictive modeling, statistical analysis, and data visualization.

• Experience collaborating across business, IT, and data organizations to deliver enterprise solutions.

Responsibilities

Strategic Leadership and Vision:

• Define and execute enterprise data science, AI, and data governance strategies aligned with corporate priorities.

• Act as a trusted advisor to executive leadership on data‑driven decision‑making.

• Champion responsible and ethical use of data and AI, ensuring compliance with security and regulatory standards.

• Lead the development and execution of enterprise data governance frameworks.

AI and Data Science Development:

• Define the roadmap for advancing enterprise analytics, AI, and data capabilities.

• Lead initiatives to improve data quality, standardization, and master data management.

• Drive collaboration across data, IT, and business teams to accelerate analytics solution delivery.

• Stay current on emerging AI technologies and introduce best practices and innovation.

Data Governance and Management:

• Establish and enforce standards for data quality, security, privacy, and compliance.

• Oversee data lineage, metadata management, and master data management practices.

• Partner with enterprise data architecture teams to ensure data accessibility and integrity.

• Define and publish KPIs to measure data governance maturity and effectiveness.

People and Team Leadership:

• Recruit, develop, and lead high‑performing data engineering, AI, and governance teams.

• Foster a culture of collaboration, accountability, and continuous learning.

• Provide coaching, mentoring, and career development support.

• Manage relationships with external vendors and analytics partners.

Performance and Value Realization:

• Measure, track, and communicate the business value of analytics and AI initiatives.

• Develop dashboards and success metrics tied to business outcomes.

• Partner with Finance and PMO teams to quantify ROI and investment impact.

• Ensure transparency, alignment, and timely delivery of data initiatives.

Qualification And Education

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field required.

• Master’s degree or advanced education strongly preferred.

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