Product Manager - Reference Data

The Role

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.

Our team is organised across two product tracks — Market Data Feeds and Addepar Security Master (ASM). This role will power these tracks. You will be working on projects that focus on turning raw data into the clear, well-structured insights that help our team make better decisions, move faster, and deliver more confidently across feeds, security mastering, and commercial reporting.

This role requires deep data skills, rigorous thinking, and the ability to approach tasks with a builder mindset. 

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You'll Do

• Work on a series of projects that will serve as the analytical foundation across the team, running the data investigations, ad hoc queries, and structured analyses that inform our prioritisation, requirements, and decisions.
• Drive data quality analysis layer for Market Data Feed builds and our security master: profiling incoming vendor data, validating transformations, identifying anomalies and coverage gaps.
• Build and maintain the reporting infrastructure that gives the team and leadership visibility into dataset profitability, vendor licensing costs vs. revenue, pipeline health, feed coverage, and commercial activity. 
• Query across our data systems to produce views and dashboarding on profitability by dataset, spend vs. budget, commercial pipeline tracking.
• Support ASM operational workflows through data by generating output that help us such as running reconciliation queries, validating node matching and security ID linking, and surfacing data quality issues that require attention by our team.
• Productising our ability to monitor market data pipelines and operational dashboards, triaging feed errors and flagging issues to operations and/or R&D with enough context to act.
• Actively using and applying AI-assisted tools to accelerate Refdata product outcomes.
• Maintain and upkeep our licensing inventory including dashboards that track spend against budget, renewal timelines, and licensing events and keep those views accurate and accessible to a wide audience.

Who You Are

• Prior experience as a data analyst, business analyst, or product analyst ideally in financial services or a data-intensive SaaS environment where data quality and rigour matter.
• Strong SQL skills -  you can write complex queries confidently and use them as a primary tool for investigation, not just reporting.
• Experienced with AI-assisted tools to facilitate getting work done, particularly applying them to real 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 with knowledge on how to join pieces of information like Salesforce data with finance data and operational data and produce something coherent and trustworthy.
• Ideal if 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.
• A builder and self-starter that is dependable in your work. Teammates trust what you produce.
• A clear communicator who can write up findings, document processes, and present analysis to diverse audiences.