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Senior Manager- Wealth Operations Analytics- Vice President

Job in Indiana Borough, Indiana County, Pennsylvania, 15705, USA
Listing for: Citigroup Inc.
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below

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
Analytics & AI Solution Delivery
  • 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)
AI Enablement & Innovation
  • 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
Execution Excellence & Continuous Improvement
  • 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
Stakeholder Management & Communication
  • 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
Team Leadership
  • 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
Qualifications Experience
  • 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
Industry & Functional Knowledge
  • Strong…
Position Requirements
10+ Years work experience
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