Required Education:
• High School Diploma or Equivalent
Required Experience, Knowledge & Skills:
• 15+ years of leadership experience across data, analytics, AI, or enterprise technology
• Proven experience delivering enterprise scale AI and data programs in complex, regulated environments
• Strong understanding of data governance, cloud platforms, AI/ML lifecycle management, and risk controls
• Executive leadership presence with the ability to influence across business, operations, and IT
Job Responsibilities:
• Enterprise AI & Data Strategy
• 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
• Data Governance & Stewardship
• 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
• AI Platform, Architecture & Delivery
• 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
• Governance, Risk & Responsible AI
• 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
• Portfolio & Value Realization
• 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
• Executive & Board Engagement
• 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
Chief AI & Data Architect
• The Chief AI & Data Architect is accountable for the enterprise-wide strategy, governance, and value realization of Artificial Intelligence, Advanced Analytics, and Data This role ensures that data is trusted, governed, reusable, and AI-ready, and that AI capabilities are deployed safely, compliantly, and at scale across a regulated enterprise.
• The Chief serves as the bridge between data foundations and AI-driven outcomes, ensuring alignment across business strategy, technology platforms, risk management, and regulatory obligations
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**
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