Senior Manager- Wealth Operations Analytics- Vice President
Listed on 2026-07-08
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, Business Systems/ Tech Analyst
Vice President – Wealth Operations Analytics (People Manager)
Shape the Future of Wealth Operations Be a Problem Solver. Enable AI Transformation. Lead with Impact.Job Description
Are you a results-oriented analytics leader with a strong ability to partner with business teams and translate complex operational problems into data-driven and AI-enabled solutions?
Join our Analytics & Information Management (AIM) organization as a Vice President – Wealth Operations Analytics
, and play a key role in enabling operational excellence across Wealth Management.
This role offers the opportunity to work at the intersection of business, analytics, and next-generation AI technologies
, including Generative AI and Agentic AI frameworks
. You will partner closely with Wealth Operations stakeholders to understand business priorities, design analytical and AI-driven solutions, and deliver measurable impact.
A critical success factor in this role is the ability to deeply understand business problems and translate them into structured analytics and AI solutions with measurable impact.
As a people leader, you will manage and grow a high-performing team while fostering a culture of innovation, problem-solving, and continuous learning.
Responsibilities Business Partnership & Problem Translation- Build strong partnerships with Wealth Operations, Risk, Product, and Technology stakeholders
- Develop deep understanding of Wealth Operations processes and priorities
- Translate business needs into structured analytics problems and AI solution frameworks
- Act as a bridge between business and analytics/AI teams, ensuring clarity, alignment, and impact
- Proactively identify opportunities where analytics and AI can solve business challenges
- Lead delivery of advanced analytics and AI initiatives across Wealth Operations
- Design and implement Generative AI use cases (e.g., document intelligence, knowledge copilots, workflow assistants)
- Build or drive development of Agentic AI solutions for workflow automation and decisioning
- Own end-to-end lifecycle: problem framing, solution design, execution, and deployment
- Measure and communicate business impact (efficiency, cost savings, risk reduction, client experience)
- Drive execution and adoption of scalable analytics and AI solutions aligned to business priorities
- Apply LLM-based approaches including prompt engineering and retrieval-based frameworks
- Collaborate with Technology teams to product ionize AI solutions
- Ensure adherence to responsible AI practices and governance standards
- Deliver analytically rigorous and business-relevant solutions with clear linkage to measurable outcomes
- Balance multiple priorities across stakeholders and ensure predictable, high-quality delivery
- Drive standardization and reusability across analytics and AI solutions
- Independently manage communication with global stakeholders
- Present insights and recommendations to senior leadership clearly and effectively
- Act as a trusted advisor, influencing adoption of analytics and AI-driven decision-making
- Manage and develop a team of analytics and AI professionals (typically 15–30 members)
- Coach and mentor team members on analytics techniques, AI tools, and business context
- Build capability in Generative AI, Agentic AI, and modern analytics practices
- Foster a culture of ownership, innovation, and continuous learning
- Build next-level leadership within the team (AVP/Lead pipeline)
- Drive high standards on delivery quality, stakeholder engagement, and business impact
- 10–14 years of experience in Analytics, Data Science, or AI
- 3–6 years of people management experience
- Experience in Financial Services or Wealth Operations analytics preferred
- Mandatory: Proven experience delivering production‑grade Generative AI and/or Agentic AI solutions
, including problem framing, model/application design, and measurable business impact realization - Experience working with enterprise constraints such as data privacy, latency, and model governance in AI deployments
- Strong…
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