Online Client Experience Data Product Owner

Job Description Summary

For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.

In our collegial environment that’s marked by low turnover and high energy, you’ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.

We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.

HarbourVest is an equal opportunity employer.

This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.

The Online Client Experience Data Product Owner leads the development of data products that power HarbourVest’s digital client platform—connecting business priorities, client expectations, and technical delivery. This role is responsible for the roadmap for data product development, setting direction and priorities in close collaboration with business partners. It guides cross-functional teams to deliver scalable, high-quality solutions that improve visibility and client engagement.

We believe data is central to delivering a differentiated client experience, and we’re seeking a hands-on Data Product Owner with strong technical expertise in SQL, Python, and data modeling, along with a confirmed understanding of private markets investing and commercial strategy. This role involves close partnership with Investor Relations, Operations, Marketing, Distribution, and Data Engineering to design and deliver data solutions that improve transparency and client engagement.

We’re advancing how private markets firms connect with clients through digital channels, and this is a unique opportunity to shape HarbourVest’s Client 360 platform, redefining how Distribution teams guide and support the client journey. We are committed to digital transformation and long-term growth in wealth and distribution, and we’re investing in the tools, talent, and technology to make it happen. This position offers the opportunity to join a firm actively modernizing its data and technology capabilities to support strategic growth.

The ideal candidate is someone who:

• Excels at working with data.
• Communicates effectively across diverse teams, and transforms raw information into reliable, client-focused insights.
• Brings a blend of technical fluency, commercial insight, and a passion for enhancing the client experience through data-driven solutions.

What you will do:

• Take charge of the strategy and implementation of data solutions for the Online Client Experience, covering MVPs to forthcoming releases.
• Partner across business units to define goals and data needs aligned with client outcomes.
• Translate use cases into product definitions, including sources, field-level specs, and transformation logic.
• Ensure alignment with enterprise data standards, governance, and lineage requirements.
• Lead the backlog in Azure DevOps, writing epics and user stories with technical clarity.
• Coordinate internal and external data sourcing into Snowflake, supporting scalable integration.
• Serve as the main liaison across engineering, product, platform, and commercial teams.
• Report progress, risks, and outcomes to senior stakeholders in partnership with program leads.
• Drive data quality and embed monitoring to ensure reliability across client-facing datasets.
• Present solutions that boost visibility, reporting, and digital engagement for investors.
• And other responsibilities are required.

What You Bring:

• Ability to translate data features into outcomes that drive client engagement and business growth.
• Advanced SQL skills for working with large datasets; Python experience preferred.
• Experience in data product ownership, strategy, or product management within financial services or private markets.
• Knowledge of LP/GP structures, fund vehicles, evergreen products, and institutional reporting.
• Expertise in client data, entity mastering, and reference data frameworks.
• Familiarity with MDM, data governance, data modeling, and entity resolution.
• Skill in writing clear data definitions, acceptance criteria, and technical user stories.
• Strong communication and stakeholder engagement skills.
• Shown success leading cross-functional teams and delivering enterprise-grade data products.
• Understanding of agile methodologies and dedication to high-quality data solutions.

Education Preferred:

• Bachelor’s degree in Computer Science, Engineering or Finance, or equivalent experience
• Master of Business Administration (MBA), a plus

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