Senior Director AI Data Enablement & Strategy

Fitch Group; New York (NY); On-site; USD 190,000 - 240,000; Full time

Benefits offered by this job

Innovation and Growth

Enterprise Impact

Professional Development

Job summary

Fitch Group is seeking an AI data enablement leader to join the Chief Data Office in New York. You will shape the CDO's strategy at the intersection of data and AI, ensuring data capabilities are AI-ready and scalable across enterprise programs.

Reporting to the Chief Data Officer, you will lead AI data enablement and collaborate with governance, engineering and business AI teams to translate needs into enacted data strategy, architecture and roadmaps.

Qualifications

• 10–15+ years of relevant experience across data and AI, including significant experience leading complex enterprise initiatives.
• Demonstrated experience designing or delivering AI-ready enterprise data capabilities, including semantic layers, knowledge graphs and ontologies.
• Strong practical understanding of modern AI technologies and architectures, including generative AI, large language models, retrieval approaches and agentic AI.
• Deep understanding of enterprise data capabilities, including data platforms and products, metadata, data quality, governance and modern data architecture.
• Demonstrated ability to translate AI use cases and emerging technologies into enterprise data, technology and operating-model strategies and requirements.
• Proven ability to lead complex cross-functional initiatives, influence senior stakeholders and drive execution across organizational boundaries.
• Strong strategic, analytical and communication skills, combined with sufficient technical depth to engage credibly with technical partners and communicate effectively with executive and non-technical audiences.

Responsibilities

• Define and drive the CDO's AI data enablement strategy and roadmap, establishing how enterprise data capabilities must evolve to support Fitch's AI ambitions and where AI can accelerate and improve CDO data programs.
• Define and advance Fitch's approach to AI-ready data, including the capabilities and patterns needed to make enterprise data trusted, accessible, well-understood and usable by AI applications and agents, including machine-readable context and semantics.
• Translate enterprise AI needs into data requirements and priorities, partnering across CDO, Emerging Technology, Software and business AI teams to anticipate needs and embed them into relevant roadmaps.
• Identify and drive opportunities to apply AI across CDO data capabilities and processes, including data operations, data governance, master data management, and others.
• Lead targeted experimentation with emerging AI and data technologies, validating high-value approaches and establishing a path from proof of concept to scalable adoption.
• Serve as the AI subject matter leader and senior advisor within the CDO, staying current on emerging technologies and translating developments into practical implications, opportunities and recommendations for Fitch's data strategy.
• Partner with Data Governance, Emerging Technology, Enterprise Architecture, Information Security and other stakeholders to ensure AI data capabilities appropriately address security, compliance, data rights, intellectual property and governance requirements.
• Own outcomes and execution of the CDO's AI data enablement agenda, establishing measurable objectives and providing clear visibility into progress, dependencies, risks and decisions.

Skills

AI strategy

Data governance

Semantic layers

Knowledge graphs

Ontologies

Executive communication

Cross-functional leadership

Job description

Fitch Group is seeking an AI data enablement leader to join the Chief Data Office in New York. You will shape the CDO's strategy at the intersection of data and AI, ensuring data capabilities are AI-ready and scalable across enterprise programs.

Reporting to the Chief Data Officer, you will lead AI data enablement and collaborate with governance, engineering and business AI teams to translate needs into enacted data strategy, architecture and roadmaps.