AVP, Enterprise Solutions AI Leader
As a senior leader at Nasdaq, you will be accountable for shaping and executing AI strategy across Enterprise Solutions, advancing our position as a global technology company powering markets and economies. This role requires a proven ability to set direction, influence across business functions, and deliver measurable impact in complex, regulated environments.
Responsibilities
- Define and lead enterprise AI strategy for Expert Functions, Web Properties, and Enterprise Data, ensuring alignment with Nasdaq's global objectives.
- Identify and prioritize AI opportunities based on business impact, feasibility, and organizational readiness, with a focus on measurable outcomes.
- Guide build versus buy decisions using Nasdaq's Return on Invested Capital framework to balance strategic value, risk, and long-term enterprise benefit.
- Advise senior leadership and the Board on AI investment tradeoffs, transformation priorities, and emerging trends, ensuring alignment with enterprise architecture and regulatory expectations.
- Engage with vendors, platform providers, and external partners to assess AI solution maturity and determine strategic fit.
- Champion responsible AI adoption by influencing governance, ethical considerations, and risk management practices across the organization.
Requirements
- Extensive leadership experience in enterprise AI, data, or advanced analytics, with a proven track record of delivering measurable business outcomes.
- Demonstrated success in setting and executing multi-year AI or technology strategies within complex, global organizations.
- Strong executive presence with the ability to present to and influence senior stakeholders, including Management Committee and CEO-level audiences.
- Deep understanding of governance, compliance, and risk management in AI adoption, with the ability to translate complexity into practical guidance.
- Track record of guiding strategic investment decisions using structured financial frameworks such as Return on Invested Capital.
- Exceptional communication and change management skills, with the ability to align people, process, data, and technology around a shared vision.
Qualifications
- Advanced degree (e.g., MBA, Computer Science, Data Science) or equivalent senior leadership training.
- Experience in management consulting or advisory roles driving transformational change.
- Familiarity with capital markets, fintech, or regulated industries and their unique data and AI challenges.
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
This position will be located in New York or Philadelphia, and offers a hybrid work environment (at least 3 days a week in office, subject to change).
Benefits
We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families, and incentivizes employees for their contribution to Nasdaq’s overall success.
- Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
- Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
- Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
- Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
- Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
Pay
The base pay range for this role is $172,000 - $335,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive).
Schedule
Hybrid work environment (at least 3 days a week in office, subject to change).