Sr. Director leading enterprise-level AI initiatives at Nasdaq, driving AI adoption and transformation across organizational functions. Focusing on strategic leadership and senior engagement in collaboration with technology leaders.
Responsibilities
Provide enterprise-level thought leadership on Artificial Intelligence and maintain a strong understanding of emerging trends, technologies, and best practices
Identify and prioritize AI opportunities based on business impact, feasibility, organizational readiness, and data availability, with a consistent 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 leaders on AI strategy, investment tradeoffs, and transformation priorities, ensuring alignment with enterprise architecture, data strategy, and regulatory expectations
Engage with vendors, platform providers, and external partners to assess solution maturity and determine alignment with Nasdaq’s needs
Promote responsible AI adoption by influencing governance, ethical considerations, and risk management practices
Lead discussions and present strategy to senior executives, including members of Nasdaq’s Management Committee and the Chief Executive Officer
Enable and influence delivery teams through strategic direction and prioritization without direct ownership of execution
Requirements
Significant experience leading or advising enterprise-level transformation initiatives where Artificial Intelligence, data, or advanced analytics delivered meaningful business outcomes
Experience in a management consulting environment, driving transformational change, is preferred but not required, particularly for roles involving executive advisory responsibilities
Demonstrated ability to operate at an Assistant Vice President level or equivalent senior leadership role within complex organizations
Proven experience identifying and shaping AI opportunities by balancing expected business value with feasibility, maturity, and organizational readiness
Experience guiding build versus buy decisions using structured financial and strategic evaluation approaches, including Return on Invested Capital principles
Background working across business domains such as Human Resources, Finance, Legal, Risk, Marketing, Sales, digital platforms, and enterprise data environments
Comfortable presenting to and engaging with senior executive audiences, including CEO and Management Committee level stakeholders.
Benefits
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
Comprehensive medical, dental and vision coverage
Health spending account with employer contribution
Paid flex days to support mental wellbeing
Gym membership discounts
Paid parental leave
Fertility benefits
Paid bereavement leave
Company gift matching program
Employee resource groups
Paid volunteer days
Education Assistance Program
Robust job skills training and Professional development opportunities
AI Engineer responsible for developing AI agents, tools, and machine learning models at IPFS. Focused on enhancing data accessibility and driving innovation across the IPFS ecosystem.
Lead AI automation strategy for Customer Service at Spotify by shaping AI agents' behavior and outcomes. Collaborate with cross - functional teams to ensure effective, safe, and trustworthy AI experiences.
Medical Affairs AI Lead driving AI transformation at Pfizer. Defines vision, builds prototypes, and collaborates with cross - functional teams for effective AI solutions.
AI Engineer developing AI solutions on Horizon for renewable energy optimization. Collaborating with product managers and software engineers to design and deploy LLM - powered systems.
Senior Lead AI Engineer developing responsible and reliable AI systems at Capital One. Leading teams to deploy AI - powered products and advance the company's AI capabilities.
Senior Manager, AI Engineering leading the strategic adoption and scaling of AI at VodafoneThree. Overseeing implementation of scalable AI capabilities and collaborating across teams for innovation.
AI Developer designing and delivering intelligent, production - grade AI solutions for clients. Building data foundations and shipping LLM features for various applications in cloud environments.
AI Developer intern at Atos working on healthcare innovation projects involving AI and R&D. Collaborating in a small team under the guidance of a mentor in an agile environment.