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

Locations:
New York City, Charlotte, Dallas.

At EY, we’re all in to shape your future with confidence.

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 (some that not been solved before). 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.

You’ll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. Whether you have architectural and data experience, specialize in the math behind data algorithms, or are an expert at ensuring data is clean and correct, you can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

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, etc.

• 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 (SORs) 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.

• 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.
• Impl…