Product Manager, Reference Data & AI Pipelines

Addepar1; City of Edinburgh; On-site; GBP 70,000 - 100,000; Full time

Job summary

Addepar, based in Edinburgh, is seeking a Product Manager for the Reference Data team. You will turn raw data into structured insights, working on Market Data Feeds and the Security Master, enabling smarter decisions and faster delivery.

The role requires deep data skills, rigorous thinking, and a builder mindset, with visa-free access for UK work from day one. You will collaborate across data investigations, analytics, and commercial reporting to support data-driven decisions.

Qualifications

• Strong SQL skills for data investigations and analyses.
• Experience with Python for data work and automation.
• Familiarity with AI-assisted tools in analytics.
• Ability to join data from Salesforce, finance, and operations.
• Background in financial services or data-intensive SaaS.
• Effective written and verbal communication.

Responsibilities

• Run data investigations, ad hoc queries, and analyses to inform decisions.
• Profile vendor data and validate transformations for Market Data Feeds.
• Build reporting infra for dataset profitability and licensing costs.
• Create views and dashboards on profitability, spend, and pipeline.
• Support ASM operations with reconciliation queries and data quality issues.
• Monitor data pipelines and triage feed errors with context.
• Apply AI-assisted tools to accelerate product outcomes.
• Maintain licensing inventory dashboards and access.

Skills

SQL

Python

Data analysis

AI-assisted tools

Reporting

Dashboarding

Jupyter

Tools

Salesforce

Pandas

Jupyter

Job description

Addepar, based in Edinburgh, is seeking a Product Manager for the Reference Data team. You will turn raw data into structured insights, working on Market Data Feeds and the Security Master, enabling smarter decisions and faster delivery.

The role requires deep data skills, rigorous thinking, and a builder mindset, with visa-free access for UK work from day one. You will collaborate across data investigations, analytics, and commercial reporting to support data-driven decisions.