Work Location:            Hybrid - Manhattan, NYC

Remote:                      No

Data Product Owner

Position Overview

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

Payrange - 68$/hr. - 72$/hr.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually – as applicable.