Data Product Owner Client Experience Platform- Global Investment firm Boston onsite

Are you passionate about building data-driven solutions that elevate the client experience? We’re seeking a hands-on Data Product Owner to lead the development of data products that power a global digital client platform—bridging business priorities, client needs, and technical delivery.

In this role, you’ll own the roadmap for client data products, collaborating with cross-functional teams to deliver scalable, high-quality solutions that drive visibility, transparency, and engagement.

What You’ll Do

Define and execute the strategy for data solutions supporting the online client experience—from MVP to future releases.
Partner across business units to identify goals, data requirements, and client-centric outcomes.
Translate business use cases into detailed product definitions, including sources, field-level specs, and transformation logic.
Maintain alignment with enterprise data standards, governance, and lineage requirements.
Manage the product backlog in Azure DevOps—writing clear epics and user stories.
Oversee data sourcing and integration into Snowflake to support scalable infrastructure.
Act as the key liaison between engineering, product, platform, and commercial teams.
Report on progress, risks, and outcomes to senior stakeholders.
Champion data quality and build monitoring processes for client-facing datasets.
Present solutions that enhance reporting, transparency, and digital engagement.

Requirements:

Proven industry experience in financial services, private markets, or investment management—with a deep understanding of how data drives client engagement and commercial success.
Strong ability to translate data capabilities into measurable business and client outcomes.
Advanced SQL skills for managing and analyzing large datasets; Python experience preferred.
Proven experience in data product ownership, strategy, or product management within financial services or private markets.
Working knowledge of LP/GP structures, fund vehicles, and institutional reporting.
Expertise in client data, entity mastering, and reference data frameworks.
Familiarity with MDM, data governance, modeling, and entity resolution.
Skilled in writing data definitions, acceptance criteria, and user stories.
Excellent communication and stakeholder management skills.
Demonstrated success leading cross-functional teams to deliver enterprise-grade data solutions.
Understanding of agile methodologies and a strong commitment to data integrity.

Education

Bachelor’s degree in Computer Science, Engineering, Finance, or related field required.
8+ years of
MBA or advanced degree a plus.

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