Product Manager - Reference Data

We are seeking a Product Manager to join our Reference Data team, based in Edinburgh. Reference Data is part of the Data Enablement team at Addepar. Our mission is to build a scalable, efficient, and high quality data platform that integrates, connects, productionises, and distributes third-party data content across Addepar and to our clients and partners. This role requires deep data skills, rigorous thinking, and the ability to approach tasks with a builder mindset.

Responsibilities

Work on projects serving as the analytical foundation across the team, running data investigations, ad hoc queries, and structured analyses; Drive data quality analysis layer for Market Data Feed builds and security master: profiling incoming vendor data, validating transformations, identifying anomalies and coverage gaps; Build and maintain reporting infrastructure for dataset profitability, vendor licensing costs vs. revenue, pipeline health, feed coverage, and commercial activity; Query across data systems to produce views and dashboards on profitability by dataset, spend vs. budget, commercial pipeline tracking; Support ASM operational workflows through data by running reconciliation queries, validating node matching and security ID linking, and surfacing data quality issues; Productise monitoring of market data pipelines and operational dashboards, triaging feed errors and flagging issues to operations and/or R&D; Actively use and apply AI-assisted tools to accelerate Refdata product outcomes; Maintain and upkeep licensing inventory including dashboards that track spend against budget, renewal timelines, and licensing events

Requirements

Deep data skills, rigorous thinking, and the ability to approach tasks with a builder mindset; Prior experience as a data analyst, business analyst, or product analyst; Strong SQL skills - can write complex queries confidently and use them as a primary tool for investigation; Experienced with AI-assisted tools for analytical tasks tied to business outcomes; Experience with Python for data work: analysis, scripting, and automation; comfortable with pandas, Jupyter, or similar tools; Able to build reporting that spans multiple data sources, including Salesforce, finance, and operational data; A builder and self-starter that is dependable; teammates trust what you produce; A clear communicator who can write up findings, document processes, and present analysis to diverse audiences; Applicants must have and maintain the right to work in the United Kingdom from the first day of employment (visa sponsorship not available)

Nice to have

Experience in financial services or a data-intensive SaaS environment where data quality and rigour matter; Knowledgeable in financial data concepts such as asset class and security level concepts, reference data, and pricing, or the desire to learn more about these concepts