VP, Data and Analytics - flexible hybrid in Chicago, IL

About the Role

Key Responsibilities

• Define and execute the company-wide data strategy aligned with business goals.
• Build and lead cross-functional data teams to foster a culture of data-driven decision-making.
• Collaborate with senior technical and business leadership to identify opportunities for innovation and operational improvement.
• Ensure scalable, global data solutions that uphold high standards of quality, integrity, and accessibility across the enterprise.
• Build platforms and analytics to answer business questions, support product innovation, and deepen client understanding.
• Champion AI and data literacy across the organization.
• Oversee sub-teams including Business Intelligence, AI Center of Excellence, Quantitative Research, Analytics Engineering, and Client Engagement Software.
• Translate complex data insights into clear, actionable recommendations for technical and non-technical stakeholders.
• Work with systems owners and Data Pipeline Engineering to obtain new data sources.

Requirements

• Master's degree in technical fields or analytical fields such as Financial Math, Computer Science, Data Science, or Engineering.
• 15+ years in analytics/technology in Financial Markets, including 10+ years in leadership.
• Deep expertise in cloud data platforms (e.g., Snowflake) and analytics tools (e.g., Sigma, SageMaker).
• Expertise in analyzing Options, Futures, and Equities market data.
• Experience adopting and deploying enterprise-wide AI solutions.
• Experience reviewing technical solutions and code (e.g., SQL, Python).
• Demonstrated success in building and scaling high-performing data teams.
• Exceptional communication skills with the ability to present technical concepts to diverse audiences.
• Deep understanding of how data interacts across systems, teams, and business processes to uncover insights, anticipate needs, and drive enterprise-wide decision making.

Nice to Have

• Experience in analyzing Options, Futures and Equities market data.
• Experience with cloud data platforms like Snowflake and analytics tools such as Sigma and SageMaker.
• Experience in adopting and deploying enterprise AI solutions.
• Ability to review technical solutions and code.

Qualifications

• Master's degree in technical or analytical fields such as Financial Math, Computer Science, Data Science, or Engineering.
• 15+ years in analytics/technology in Financial Markets, including 10+ years in leadership.

Benefits & Perks

• Fair and competitive salary and incentive compensation packages with an upside for overachievement.
• Generous paid time off, including vacation, personal days, sick days and annual community service days.
• Flexible, hybrid work environment.
• Health, dental and vision benefits, including access to telemedicine and mental health services.
• 2:1 401(k) match, up to 8% immediately upon hire.
• Discounted Employee Stock Purchase Plan.
• Tax Savings Accounts for health, dependent and transportation.
• Employee referral bonus program.
• Volunteer opportunities to help give back to communities.
• Complimentary lunch, snacks and coffee in offices.
• Paid Tuition assistance and education opportunities.
• Generous charitable giving company match.
• Paid parental leave and fertility benefits.
• On-site gyms and discounts to fitness centers.