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Manager, Portfolio Data Feeds

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: Addepar1
Full Time position
Listed on 2026-07-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 147000 - 184000 USD Yearly USD 147000.00 184000.00 YEAR
Job Description & How to Apply Below

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity.

Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.

The Role

We are currently seeking a Lead, Product Manager to join our Portfolio Data Feeds team in Salt Lake City. As well as performing the role of a Product manager within the team by using your skills to effectively contribute towards the overall goals of the team, you will lead and develop the analysts within the team to enable them to do the same.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions.

The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $147,000 - $184,000 (base salary) + bonus + equity + benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do
  • Serve as a "player/coach" who will contribute to and supervise a team of Portfolio Data Analysts across the US
  • Develop and maintain effective process controls and accurate metrics to ensure quality standards and organisational expectations are met
  • Manage the onboarding, mentorship, and career development of individuals on the team through timely and effective performance feedback and by providing learning and growth opportunities
  • Lead the team to accomplish goals that are aligned with the organisation’s business and culture objectives and hold self and team members accountable for meeting expectations
  • Work with a variety of external financial data providers to develop and support the integration of their portfolio data into our platform
  • Use your understanding of our existing data models to write technical requirements on how to transform raw data into functional content on our platform
  • Analyze and onboard content from different sources into Addepar’s data integration ecosystem
  • Partner with engineering, product management and data operations to deliver high quality, timely and reliable data solutions
  • Understand Addepar’s products and clients. Using these insights, work with counterparts within the business to drive new and innovative opportunities to improve client experience
Who You Are
  • At least five years of experience in data analysis and product management with relevant finance domain-specific experience
  • Experience with leading teams, cross-functional projects and learning and development initiatives. Proven ability to plan, design, and manage numerous processes, people and projects simultaneously
  • Track record of effective problem solving abilities, self-motivation to take on responsibility, and a strong team-player mentality
  • Ability to work cross functionally to define functional and technical implementations to tackle a business problem. This includes understanding of high level data development concepts, data modeling, and the ability to write and review technical requirements documents
  • Technical skills preferred in any or all of the following:
    Excel, VBA, SQL, Python, Databricks or other common financial services systems and applications
Our Values
  • Act Like an Owner – Think and operate with intention, purpose and care. Own outcomes.
  • Build Together – Collaborate to unlock the best solutions. Deliver lasting…
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