Head of AI Strategy

A leading financial services organization is seeking a Director of AI Strategy & Enablement to lead enterprise AI adoption, innovation, and delivery initiatives. This role will serve as a strategic bridge between business stakeholders, technology teams, and executive leadership, helping identify high-value opportunities for artificial intelligence while driving successful implementation and organizational adoption.

The ideal candidate combines product strategy, technology leadership, and business transformation expertise with a practical understanding of AI, machine learning, and emerging technologies. This is a highly visible leadership role focused on turning AI opportunities into measurable business outcomes.

What You'll Tackle:

• Develop and execute an enterprise AI strategy aligned with business priorities and organizational objectives.
• Build and maintain a prioritized roadmap for AI and automation initiatives.
• Identify, evaluate, and prioritize high-impact AI use cases across multiple business functions.
• Translate business needs into actionable product requirements and implementation plans.
• Partner with engineering, architecture, data, and product teams to deliver AI-enabled solutions.
• Support solution design, model selection, integrations, APIs, and deployment strategies.
• Evaluate emerging AI technologies, platforms, and vendor solutions.
• Establish governance, operating models, and best practices for AI adoption and delivery.
• Drive organizational change management, user adoption, and AI enablement initiatives.
• Build relationships with senior business and technology stakeholders to align AI investments with business value.
• Support the growth and development of AI capabilities, processes, and future team structures.

What You Bring:

• 10 years of experience across technology, product management, business transformation, consulting, engineering, or related disciplines.
• 3 years of experience supporting AI, machine learning, generative AI, or advanced analytics initiatives.
• Experience building, deploying, or scaling enterprise AI solutions.
• Strong understanding of AI product lifecycle management, implementation, and adoption strategies.
• Technical fluency across APIs, integrations, architecture, data platforms, and modern technology ecosystems.
• Ability to influence senior stakeholders and drive cross-functional alignment.
• Experience within financial services, investment management, asset management, or highly regulated industries.
• Strong communication, prioritization, and leadership skills.
• Experience leading strategic initiatives from concept through execution.
• Ability to balance innovation, governance, risk management, and business outcomes.

Nice to Have:

• Experience with large language models (LLMs), generative AI, prompt engineering, or AI-enabled applications.
• Exposure to modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or similar technologies.
• Experience with cloud-native architectures, microservices, or AI integration frameworks.
• Experience establishing AI governance, operating models, or responsible AI practices.
• Experience building or leading emerging technology teams.
• Exposure to investment management, capital markets, wealth management, or financial operations workflows.

What Success Looks Like:

• Successful delivery of enterprise AI initiatives that create measurable business value.
• Strong alignment between AI investments and strategic business priorities.
• Increased adoption of AI-enabled capabilities across the organization.
• Effective governance, scalability, and operationalization of AI solutions.
• Strong collaboration across business, technology, and executive stakeholders.
• Establishment of a sustainable foundation for long-term AI innovation and growth.