Chief AI and Data Architect

Requirement/Must Have:

• Minimum 15 years of leadership experience across data, analytics, AI, or enterprise technology required.
• Proven experience delivering enterprise-scale AI and data programs in regulated and complex environments required.
• Strong expertise in data governance, cloud platforms, AI/ML lifecycle management, and risk management required.
• Executive leadership experience with the ability to influence business, operations, and IT stakeholders required.
• Strong understanding of AI governance, Responsible AI principles, and enterprise architecture required.
• Experience with enterprise AI platforms, MLOps, data pipelines, and analytics ecosystems required.

Responsibilities:

• Define and lead the enterprise AI and Data strategy, roadmap, and operating model aligned with business and regulatory objectives.
• Partner with business and technology leaders to prioritize AI and data initiatives that deliver measurable business value.
• Ensure AI initiatives are built on strong, governed, and scalable data foundations.
• Sponsor enterprise data governance programs including ownership, data quality, lineage, and lifecycle management.
• Establish policies, standards, and controls supporting AI/ML, GenAI, and analytics use cases.
• Define and monitor metrics related to data quality, trust, accessibility, and governance.
• Lead strategy for AI and data platforms including model lifecycle management, MLOps, data pipelines, and GenAI enablement.
• Ensure AI and data solutions are scalable, secure, auditable, compliant, and cost-effective.
• Define enterprise reference architectures and approved technology patterns in collaboration with IT teams.
• Establish and enforce AI governance frameworks including intake, approval, risk assessment, and production readiness processes.
• Operationalize Responsible AI principles including privacy, transparency, explainability, and human oversight.
• Collaborate with Legal, Cybersecurity, Privacy, Compliance, and Risk teams to ensure regulatory alignment.
• Oversee the enterprise AI and data portfolio to ensure successful transition from pilot to production.
• Define value realization metrics including financial impact, operational efficiency, reliability, and risk reduction.
• Reduce duplication and fragmentation across enterprise AI and analytics initiatives.
• Serve as the enterprise technical authority on AI and Data for executives, regulators, and Board leadership.
• Translate complex technical concepts into executive-level business insights and recommendations.
• Monitor industry, regulatory, and technology trends to guide enterprise AI and data strategy.

Should Have:

• Experience working in highly regulated industries preferred.
• Knowledge of GenAI governance and enterprise AI enablement preferred.
• Experience presenting to executive leadership and Board members preferred.
• Familiarity with enterprise cloud ecosystems and modern data architectures preferred.

Skills:

• Enterprise AI and data strategy leadership required.
• Strong knowledge of AI/ML lifecycle management and MLOps required.
• Expertise in data governance, data architecture, and analytics platforms required.
• Strong risk management and compliance knowledge required.
• Excellent executive communication and stakeholder management skills required.
• Strategic planning and organizational leadership skills required.
• Strong analytical and problem-solving abilities required.
• Ability to influence cross-functional enterprise initiatives required.

Qualification and Education:

• Bachelor s degree in Computer Science, Data Science, Information Technology, Engineering, or related field required.
• Master s degree preferred.
• Relevant AI, cloud, or enterprise architecture certifications preferred.