As a Manager, Portfolio Data Feeds, you will lead and mentor a team of Portfolio Data Analysts, ensuring data quality and integration. You will work with external financial data providers, analyze and onboard content, and partner with engineering and product teams to deliver data solutions.
Salary not listed
On-site5+ YOEData Engineering
About the role
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
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