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

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.

This is a strong opportunity for an experienced delivery leader who can partner closely with AI/ML Engineering leadership to drive planning, prioritization, portfolio execution, stakeholder alignment, and operating rigor across a complex and evolving portfolio. The role is ideal for a highly organized operator and communicator who can connect strategy to delivery, create visibility across priorities, and enable disciplined execution across senior stakeholders and cross‑functional teams.

The successful candidate will bring structure to ambiguity, help leadership manage competing priorities, translate strategy into actionable plans, and strengthen how the organization plans, operates, and delivers across a broad AI/ML Engineering agenda.

• 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 trade‑offs.
• 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.

• 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 judgement, 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.