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Data Product Owner

Posted 9 hours 44 minutes ago by Tour Partner Group

£60,000 - £80,000 Annual
Permanent
Full Time
Other
London, United Kingdom
Job Description

We are looking for a passionate and dynamic Data Product Owner to join our team in London. In this role, you will own TPG's data strategy and be accountable for transforming how data flows through our organisation. You will lead the Snowflake migration, establish Master Data Management (MDM), and create the data foundation that enables every other transformation initiative - from AI powered quoting to real time operations dashboards. You will work as part of a collaborative, international team, creating memories that last a lifetime for our clients and their customers.

Tour Partner Group is a leading DMC for the UK, Ireland, the Nordics and Baltics. We bring together more than 300 destination specialists, designing B2B travel for Groups and FIT. Along with our MICE division, HORIZONS by Tour Partner Group, we are the experts in creating authentic experiences and memories that last a lifetime.

We have offices in London, Edinburgh, Dublin, Copenhagen, and Phoenix. Our mission is to deliver personally tailored, authentic tours. Perfectly.

What will I be doing?
  • Own the Snowflake roadmap and data strategy
  • Translate technical Snowflake work into measurable business outcomes
  • Prioritise data pipeline development and data model iterations through structured backlog management
  • Establish and chair the Data Governance Council with business data owners from Commercial, Operations, and Finance
  • Define and implement data governance framework including quality rules, ownership, and lineage tracking
  • Ensure GDPR compliance and data privacy requirements are met
  • Deliver MDM for five core domains: Customer, Supplier, Product, Booking, and Financial
  • Create "golden records" that provide single source of truth across all TPG systems
  • Eliminate duplicate and inconsistent data across Tourplan, SugarCRM, NetSuite, and acquired entities
  • Define and prioritise data products including Customer 360, Supplier Master, and Booking Analytics
  • Enable all data consumers by understanding and delivering against their needs
  • Own Enterprise Dashboards as Product Owner, ensuring they deliver actionable insights
  • Establish data quality metrics, KPIs, and monitoring dashboards
  • Implement automated data quality rules within Snowflake Bronze/Silver/Gold architecture
  • Drive continuous improvement in data accuracy and completeness
  • Own the data foundation that powers all AI initiatives - "garbage in = garbage out"
  • Ensure data is structured and clean enough for RAG (Retrieval Augmented Generation) consumption
  • Deliver the four core knowledge bases that feed AI products and initiatives
  • Partner with AI Engineers and Product Owners to define data requirements for ML/Gen AI models
  • Ensure real time data availability for AI powered quote generation and win probability scoring
  • Support demand forecasting and predictive analytics with clean historical datasets
  • Collaborate with Product Owners across Digital Products, Booking Products, and Finance Products
  • Challenge the business constructively to ensure data requirements are properly defined
What skills do I need?
  • Travel industry data experience (understanding of booking lifecycle, suppliers, customers, products)
  • Proven track record in data product management or data governance roles
  • Strong business acumen combined with technical understanding - fluent in both "business" and "tech
  • Experience with modern data platforms (Snowflake, Databricks, or similar)
  • Product management methodology (Agile, road mapping, backlog prioritisation)
  • Experience establishing data governance frameworks
  • Experience with MDM implementations
  • Knowledge of Bronze/Silver/Gold data architecture patterns
  • Familiarity with data quality tools (Great Expectations, Monte Carlo, or similar)
  • PowerBI or similar BI tool experience
  • Understanding of AI/ML data requirements (RAG databases, vector embeddings, semantic search
  • Experience preparing datasets for machine learning or analytics models
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