Senior Vice President, Group Delivery Lead, AI/ML Engineering

About the role

We’re seeking a future team member for the role of Senior Vice President, Group Delivery Lead to join our AI Hub team. This role is located in New York City.

Responsibilities

• Drive planning across business priorities, AI/ML initiatives, resource needs, delivery commitments, and priority management to support execution against strategic goals.
• Create portfolio visibility across strategic programs, including prioritization, dependency tracking, milestone management, executive reporting, and follow-through on key decisions.
• Support executable roadmaps, backlogs, and planning cadences by aligning demand, capacity, sequencing, and delivery commitments across teams and partners.
• Translate leadership strategy into actionable execution plans, helping ensure priorities are clearly defined, resourced, sequenced, and tracked.
• Build strong relationships across engineering, product, business, risk, finance, operations, and delivery stakeholders to align priorities, resolve dependencies, and accelerate execution.
• Orchestrate leadership forums, decision cadences, status reviews, and follow-up actions to support timely decision-making, transparency, and operational discipline.
• Help strengthen governance, delivery discipline, control effectiveness, and operating efficiency through metrics, analytics, process improvements, and clear communication of risks, dependencies, and tradeoffs.
• Facilitate engagement with risk, governance, and control partners while helping clarify business, commercial, and delivery needs.
• Prepare executive-level materials, insights, and recommendations that synthesize complex information into clear action plans and practical decisions.

Requirements

• Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree is preferred.
• 10+ years of experience in a systems SCM environment; experience in the securities or financial services industry is a plus.
• Preferred: 9+ years of experience in delivery leadership, strategy, business management, operations, program management, portfolio management, or a similar role supporting senior leadership in a complex environment.
• Strong planning, execution, and portfolio management capabilities, ideally within AI/ML, data, technology, or transformation-focused organizations.
• Experience driving end-to-end delivery across cross-functional teams, with practical knowledge of agile delivery methods, backlog management, dependency management, milestone tracking, and delivery metrics.
• Demonstrated ability to bring structure to ambiguity, manage competing priorities, and support disciplined follow-through across complex initiatives.
• Strong data literacy, including experience defining KPIs and OKRs, building executive-level reporting, and using analytics and visualization to inform decisions and improve outcomes.
• Demonstrated ability to influence across a matrixed organization and build credibility with senior stakeholders through clear communication, sound judgment, and disciplined execution.
• Excellent communication, analytical, and executive presentation skills, with the ability to synthesize complex information into clear action plans and practical recommendations.
• Understanding of enterprise SDLC processes is a plus; exposure to AI/ML-enabled solutions or agentic AI operating models is beneficial.

Qualifications

• Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree is preferred.
• 10+ years of experience in a systems SCM environment; experience in the securities or financial services industry is a plus.
• Preferred: 9+ years of experience in delivery leadership, strategy, business management, operations, program management, portfolio management, or a similar role supporting senior leadership in a complex environment.
• Strong planning, execution, and portfolio management capabilities, ideally within AI/ML, data, technology, or transformation-focused organizations.
• Experience driving end-to-end delivery across cross-functional teams, with practical knowledge of agile delivery methods, backlog management, dependency management, milestone tracking, and delivery metrics.
• Demonstrated ability to bring structure to ambiguity, manage competing priorities, and support disciplined follow-through across complex initiatives.
• Strong data literacy, including experience defining KPIs and OKRs, building executive-level reporting, and using analytics and visualization to inform decisions and improve outcomes.
• Demonstrated ability to influence across a matrixed organization and build credibility with senior stakeholders through clear communication, sound judgment, and disciplined execution.
• Excellent communication, analytical, and executive presentation skills, with the ability to synthesize complex information into clear action plans and practical recommendations.
• Understanding of enterprise SDLC processes is a plus; exposure to AI/ML-enabled solutions or agentic AI operating models is beneficial.

Skills

• Strong planning, execution, and portfolio management capabilities.
• Experience driving end-to-end delivery across cross-functional teams.
• Practical knowledge of agile delivery methods, backlog management, dependency management, milestone tracking, and delivery metrics.
• Data literacy, including experience defining KPIs and OKRs, building executive-level reporting, and using analytics and visualization to inform decisions and improve outcomes.
• Excellent communication, analytical, and executive presentation skills.
• Understanding of enterprise SDLC processes.
• Exposure to AI/ML-enabled solutions or agentic AI operating models.

Benefits

• Competitive compensation package, including an annual discretionary incentive award.
• Access to flexible global resources and tools for your life’s journey.
• Health, dental, vision, and basic life insurance plans for the employee and the employee’s eligible dependents.
• Various paid time off benefits, such as vacation and sick time.
• Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Pay

The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award.

Schedule

Details regarding the schedule will be provided if an employee receives an offer of employment.