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Data Product Management - Manager - Financial Services - Consulting - NYC, Charlotte, Dallas

Job in New York, New York County, New York, 10261, USA
Listing for: Ernst & Young Advisory Services Sdn Bhd
Full Time position
Listed on 2026-01-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

Location:

New York

Other locations:
Anywhere in Region

Date:
Sep 7, 2025

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

What if your career could have a lasting impact on you, and on the world?

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

The exceptional EY experience. It's yours to build.

The opportunity: your next adventure awaits

Our Data and Analytics team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems. No two days will be the same, and with constant research and development, you’ll find yourself building knowledge that can be applied across a wide range of projects now, and in the future.

Role 2:
Data Product Manager

In this role, you will connect Business product owners with Technology delivery teams using data to power experiences for our Advisors and Investors. You will be accountable for multiple domains of data that power products including Advisor and Investor platforms, performance reporting, supervision, account lifecycle management, billing, compensation, trading, money movement, proposal generation, CRM, BI reporting and data distribution.

Responsibilities

  • Oversee the delivery of technology projects, ensuring adherence to methodologies like Agile and Waterfall, and mentoring team members.
  • Drive continuous improvement and innovation, applying research, analysis, and best practices to advance processes and solutions.
  • Develop and execute the data strategy and roadmap for multiple domains of data sources of record for consumers.
  • Provide both high-level and detailed scoping estimates with Technology partners for architecture and solution design, data flow and lineage, attribute-level data mapping, and data distribution mechanisms.
  • Manage complex technical initiatives, providing expert guidance, resolving issues, and achieving performance objectives across client service, risk management, and team development.
  • Engage actively with clients, leading work streams, and identifying opportunities to expand services.
  • Spearhead RFP responses and manage engagement economics, including resource planning and budgeting.
  • Travel as required to meet client needs and project demands.

Overall delivery

  • Lead the development and enhancement of Cast & Operations data domains and assets, aligning them with business objectives.
  • Manage and mentor a team of Data Product Managers to deliver high-impact, scalable data solutions across diverse use cases.
  • Define and execute prioritization strategies to guide engineering and architecture efforts toward high-value data initiatives.
  • Partner across the organization—including data producers, architects, and business stakeholders—to ensure cohesive data integration and alignment.
  • Drive the delivery of trusted, high-quality data assets by establishing clear definitions of 'done' including reusability, documentation, and metadata.
  • Implement data monitoring and measurement frameworks to assess and improve data quality.
  • Foster collaboration through shared standards and practices across the data product management community.
  • Analyze asset usage to identify data improvement opportunities and cultivate a positive, high-performing team culture.

Practice development

  • Serve as a part of a leadership team at EY focusing on all things customer in pharma and helping build the practice to achieve future vision and goals.
  • Contribute actively to points-of-view, POCs, proposals and selling materials to help win and close deals across…
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