Chief AI & Data Architect

This position requires a clear background check, drug test, and education verification. You must be authorized to work in the US for any employer without sponsorship. (Principal only! No Corp to Corp.)

Title: Chief AI & Data Architect
Location: Oakland, CA
Pay: $190.00 per hour
Contract: 6‑month

This is a local‑candidate only, hybrid role. The team requires presence in the OGO office at least two days a week (Tuesday and Wednesday). Other days may be needed depending on meetings and work requirements. Client laptop will be provided.

• Define and own the integrated AI and data strategy, roadmap, and operating model aligned with enterprise goals and regulatory commitments.
• Partner with leaders to prioritize AI and data use cases that deliver measurable value (safety, reliability, efficiency, customer outcomes).
• Ensure AI investments are grounded in strong data foundations and avoid unmanaged experimentation.

• Serve as sponsor for enterprise data governance, ensuring clarity in ownership, quality, lineage, and lifecycle management.
• Ensure data policies, standards, and controls support AI/ML, GenAI, and analytics use cases.
• Establish metrics for data quality, trust, and accessibility across critical data domains.
• Own strategy for AI and data platforms, including model lifecycle management, data pipelines, MLOps, and GenAI enablement.
• Ensure AI and data solutions are secure, scalable, auditable, and cost‑effective.
• Partner with all areas of IT to define reference architectures and approved patterns.
• Establish and enforce AI and data governance frameworks, including intake, classification, approval gates, and production readiness.
• Operationalize Responsible AI principles (privacy, transparency, explainability, human oversight).
• Collaborate closely with Legal, Cybersecurity, Privacy, Compliance, and Risk functions to ensure regulatory alignment.
• Oversee the enterprise AI and data portfolio, ensuring initiatives progress from pilot to production with clear value realization.
• Define success measures that include financial and non‑financial value (risk reduction, reliability, regulatory confidence).
• Reduce duplication and fragmentation across AI and analytics efforts.

• Serve as the enterprise technical authority on AI and Data for executive leadership, regulators, and the Board.
• Translate complex technical topics into clear, decision‑oriented executive insights.
• Monitor external technology, regulatory, and industry trends to inform strategy.

We encourage minorities, women, protected veterans, and disabled individuals to apply for all positions that they may be qualified for. We maintain a drug‑free workplace and perform pre‑employment substance abuse testing and background checks.