Data Modeler (Only W2)

Role: Data Architect/Data Modeler

Location: Cupertino, CA or Austin, TX (Hybrid)

Client: Apple

Experience:12 Years

W2 profiles only

JD

Lead Data Strategist – Legal Operations Transformation

Summary:

This role will focus on driving improvements in data integrity, governance, and standardization across legal operations. You will work on the business side of the Data Management Office, ensuring that matter, billing, vendor, litigations, patents, contracts, and compliance data is clean, consistent, and aligned with enterprise standards. A key component of the role will also include leveraging AI to support data remediation efforts and ensuring that our legal department data is fit-for-purpose in AI-enabled use cases.

Key Responsibilities:

• Lead business data architecture efforts within Legal Operations in collaboration with cross-functional stakeholders.
• Define and maintain canonical data definitions and standards across legal, billing, vendor, litigation, patent, contract, and compliance domains.
• Partner with Legal Ops leadership to implement scalable data governance practices that align with enterprise data strategies.
• Conduct current-state assessments and design optimized, future-state data flows that support transformation goals.
• Identify and resolve data quality and integrity issues through root-cause analysis and hands-on remediation, leveraging AI tools where appropriate.
• Shape and execute a strategy for making business data AI-ready, including proper labeling, enrichment, and structuring for downstream analytics and ML use cases.
• Translate complex business needs into detailed technical and operational data requirements.
• Engage confidently with both business and technical stakeholders to drive alignment and adoption.

Key Qualifications:

• 10 years of experience in business data analysis, data architecture, or related fields.
• Proven success in transformation initiatives or large-scale enterprise change programs.
• Deep understanding of enterprise data management, governance, and quality frameworks.
• Experience with Salesforce, Snowflake, and Tableau to support reporting, data modeling, and analytics needs.
• Strong SQL skills, with working knowledge of data profiling tools and techniques.
• Exposure to machine learning (ML) concepts and best practices for structuring data to support AI use cases.
• Experience using or guiding the use of AI/ML technologies for data remediation, categorization, or enrichment.
• Excellent facilitation and documentation skills; able to drive consensus and clarity across varied stakeholders.
• Highly detail-oriented, hands-on, and pragmatic—able to toggle between strategy and execution.
• Demonstrated ability to navigate complex, matrixed environments in large tech or enterprise settings.
• Familiarity with legal operations, billing systems, or professional services environments is a strong plus.
• Self-starter with a high sense of ownership, accountability, and follow-through.