Vice President, AI Strategy & Enablement

About the role

The VP, AI Strategy and Enablement will spearhead Cohen & Steers’ enterprise-wide AI product strategy, working closely with the CTO and COO to manage and prioritize all AI initiatives.

Responsibilities

• Own the end-to-end AI product strategy across the enterprise, from ideation to delivery and iteration, ensuring alignment with Cohen & Steers’ strategic business goals.
• Collaborate with business units, stakeholders across Operations, Finance, Investments, Distribution, etc., to surface requirements, understand pain points, drive prioritization, and deliver measurable outcomes.
• Partner with Cohen & Steers’ IT team, strategic vendors, and stakeholders to build AI solutions to specification and budget, ensuring scalability, performance, and seamless integration.
• Translate ambiguous or emerging business challenges into clear problem statements and comprehensive product requirements, focusing on the underlying business value.
• Execute the enterprise AI product roadmap, managing dependencies, trade-offs, and timelines to deliver tangible business value and technical excellence.
• Stay current with industry trends and innovations in AI/ML, enterprise software vendors, and AI governance, incorporating best practices into Cohen & Steers’ product thinking and strategy.

Requirements

• 10+ years of experience in business analysis or engineering within established financial services organizations, with at least 3 years specifically focused on AI or ML.
• Strong technical acumen, demonstrated by the ability to engage confidently and productively with Cohen & Steers’ IT team, strategic vendors, and stakeholders on architecture, APIs, model selection, and infrastructure decisions.
• Proven track record of success in building, launching, and scaling enterprise-level AI solutions that have delivered clear, measurable business impact.
• Exceptional collaboration and communication skills, with a demonstrated ability to influence and align diverse stakeholders from both technical and non-technical backgrounds.
• Strategic thinker with a strong bias for action, a high degree of curiosity, and a consistent track record of driving innovation and transformation within an organization.
• Demonstrates inclusive behaviors in support of a culture that values diverse perspectives.

Qualifications

• Deep and practical understanding of the entire AI/ML product lifecycle, including model development, deployment, and integration with third-party platforms.
• Understanding of Microservices and Model-Context-Protocol interfaces.
• Experience with Data Lakehouse and/or Warehouse platforms supporting unified analytics such as Microsoft Fabric, Data Bricks, or Snowflake.
• Experience in AI model training and prompt engineering.
• Experience with Python and various data manipulation libraries.
• Deep understanding of either buy-side investment workflows and processes, or financial sales and distribution equivalents.