Vice President, Client Service Management
At a glance
Why this role might suit you
The role offers senior‑level influence over client‑service strategy, leading cross‑functional data and AI initiatives within a major investment bank. Candidates with extensive banking experience and strong Power Platform and analytics expertise will thrive.
Skills
About the role
Key Responsibilities
Engage and collaborate with senior stakeholders, shaping and executing strategies that deliver world ‑ class client service across Asset Servicing and other line of business
Develop and drive enterprise client reporting capabilities by focusing on service governance and a single enterprise view for the client
Plan and prioritize, define scope, goals, milestones, dependencies, and sequence work effectively
Requirements translation — convert business goals into clear deliverables for product, tech, operations and analytics teams
Stakeholder management — aligning senior leaders, business teams, tech teams, and control/support functions
Cross-functional leadership — connecting product managers, engineers, data teams, operations, and business stakeholders
Lead enterprise level data analysis projects by applying advanced statistical techniques, ML and AI models to extract actionable insights, driving business strategy and improve client experience and BNY’s Commercial Goals
Stay updated on industry trends and emerging technologies in data science to continuously enhance analytical capabilities and methodologies
Direct, motivate and mentor team members, maximize their individual contribution, their professional growth and their ability to function effectively
Support financial and strategic objectives of the organization by working towards process improvement, automation opportunities, AI integration and thereby generating efficiencies
Bachelor's degree or higher is required
10+ years in investment banking industry and strong understanding of financial domain concepts
Sound knowledge and hands-on experience on Power Platforms (Power Apps, Power BI and BI infrastructure), hands on AI experience
Strong analytical and problem-solving skills, with the ability to interpret complex data sets and generate actionable insights
Proven ability to lead initiatives and drive results in a client-centric environment
Excellent communication skills, capable of conveying data-driven insights to both technical and non-technical audiences
People management experience would be an added advantage
To be successful in this role, we're seeking the following:
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