Manager, Investor & Client Data Strategy

Manager, Investor & Client Data Strategy

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.

HarbourVest is an equal opportunity employer.

This position will be a hybrid work arrangement, which translates to 2-3 days minimum per week in the office.

The Manager, Investor & Client Data Strategy will play a critical role in developing & implementing the strategy and plan for improving Investor & Client data across the firm. The individual in this position will work closely with multiple internal & external teams - Investor Relations, Wealth Distribution, Investor Services, Marketing, Compliance, IT, external fund administrators, and data & technology vendors - to develop a sustainable & scalable data model meets the needs of those businesses. This individual will also be responsible for developing and implementing a data governance framework to ensure that our data is accurate, complete, and up-to-date. We are seeking a strategic, organized individual passionate about crafting data & tech solutions for a global private equity firm.

The ideal candidate is someone who has :

• Proven success in developing & implementing data models, tools, and technologies at a financial services firm with sophisticated distribution & fund administration models.
• Proficiency in CRM systems (Salesforce, eFront), data modeling & architecture (Azure, Snowflake), master data management (Profisee), data analysis (Python, SQL, Excel), and unifying data across multiple systems & vendors.
• Experience developing & implementing data governance frameworks including operating models, data quality scorecards, data validation rules, and data dictionaries.

What you will do :

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Experience :