Data Product Owner

Data Product Owner

Location: New York, NY (Hybrid 2-3 days)

Position Overview

We are seeking a highly capable and self-driven Data Product Owner to join our data and technology team in New York. This individual will serve as the bridge between business stakeholders and technical data engineering teams, owning the strategy, roadmap, and delivery of client data products that power critical client-facing and investment management functions across the firm.

The ideal candidate is a seasoned, hands-on data professional with deep roots in financial services—particularly asset management or wealth management—who can hit the ground running and contribute immediately at a high level. This person thrives in a fast-paced environment, exercises strong judgment, and balances strategic thinking with meticulous execution. They are as comfortable writing a SQL query to validate a dataset as they are presenting a product roadmap to senior leadership.

Primary Responsibilities

Product Ownership & Roadmap

Own the end-to-end product lifecycle for multiple enterprise data products simultaneously—including core data assets such as Client Master, Transaction Master, Product Master, and other foundational datasets—from ideation through delivery and continuous improvement

Define, maintain, and communicate a prioritized product roadmap aligned to business objectives and the firm's broader data strategy

Develop and manage detailed product backlogs; author clear, actionable user stories, acceptance criteria, and functional specifications

Define and track product KPIs, adoption metrics, and data quality benchmarks; iterate on products based on outcomes and user feedback

Stakeholder Engagement & Requirements

Partner closely with stakeholders across Sales & Strategy, Finance, Operations, the Enterprise Data Office, and Engineering to surface data needs and translate them into well-scoped product requirements

Conduct structured discovery sessions, workshops, and user interviews to understand pain points and define the right problem before designing solutions

Serve as the primary liaison between business users and data engineering teams, ensuring requirements are unambiguous and delivered solutions meet user expectations

Proactively manage stakeholder expectations, communicate trade-offs clearly, and build trusted, long-term relationships at all organizational levels

Prepare and present executive-level updates, roadmap reviews, and business cases to senior leadership and key decision-makers

Data Analysis & Quality

Perform hands-on data analysis—including dataset profiling, anomaly identification, lineage validation, and accuracy checks—across large and complex financial datasets

Define and enforce data quality standards, governance frameworks, and data dictionaries for owned products

Collaborate with data engineers and architects to understand underlying data models, pipelines, and platform infrastructure; provide informed input into technical design decisions

Leverage AI and automation tools to accelerate data analysis, surface insights, and improve product delivery velocity

Champion data literacy across business teams; help users understand, trust, and effectively use data products

Cross-Functional Collaboration

Manage dependencies, risks, and blockers across workstreams; escalate issues proactively with recommended resolution paths

Evaluate and recommend data tools, platforms, and vendors in support of product and technology strategy; manage vendor relationships where applicable

Produce clear, audience-appropriate documentation, executive summaries, and business cases to support decisions and secure organizational alignment

Foster a collaborative, outcome-oriented culture across business and technology teams, driving shared accountability for data product success

Qualifications & Experience

Required

8–10 years of experience in data product management, data product ownership, or a closely related data-focused role within financial services; background in investment management or wealth management is strongly preferred

Proven track record of owning and delivering multiple data products simultaneously, including full roadmap ownership and end-to-end management of data transformation programs

Strong hands-on proficiency with data analysis and querying

Demonstrated experience managing large, complex datasets across enterprise data platforms (e.g., Snowflake, Databricks, or equivalent)

Working knowledge of data governance principles, data quality management, metadata management, and data lineage practices

Excellent communication skills—written, verbal, and visual—with the ability to translate complex data concepts into clear business language and present confidently to senior and executive leadership

Highly organized and detail-oriented; able to manage competing priorities independently, hold high personal standards, and deliver quality work with minimal supervision

Proficiency with product and project management tools such as Jira, Confluence, or equivalent

Preferred

Direct domain expertise in asset management or wealth management data (e.g., portfolio and position data, investor reporting, AUM and flows, trade and settlement data)

Demonstrated experience leveraging AI tools—including generative AI assistants, LLM-based workflows, or AI-powered analytics platforms—to accelerate data product development and analysis

Experience evaluating and managing third-party data vendors