Data Product Partner

About Us
Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time‑consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale and saps innovation, we’re on a mission to power real work, with real impact. We’re trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling and Fabletics, and we’re tackling the 7 hours of lost productivity per employee each week – a $1.7 trillion problem. Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices worldwide, with headquarters in London and Boston. We combine innovation, control and simplicity to transform how businesses work and how people feel at work. At Perk, we’re driven by our values, like being an owner, delivering a 7‑star experience and working as one team. We value curiosity, purpose and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you’re excited about having a real impact and shaping how millions of people experience work, we’d love you on the team. Visit to learn more. The Opportunity We are building a new team of Data Product Partners to bridge the gap between business needs and complex data systems, ensuring our data assets are trustworthy, discoverable, impactful and truly solve user problems. Role Details Role Title: Data Product Partner Reporting To: Manager, Data Product Partner Core Mandate: Be the primary data consultant, fixer, strategist and relationship manager for a specific business domain (e.
G., Customer Care, Finance, Marketing, Revenue, Spend & Control, Travel) We are open to either Regular or Senior profiles.

What You'll Do
Relationship Management and Strategy Develop Business Data Strategy: Collaborate with business leaders to define how data can drive their strategic goals, solve critical challenges and uncover new opportunities. Identify and Qualify Value: Proactively identify high‑impact use cases and data initiatives that will generate maximum measurable value (e.
G., revenue increase, cost reduction, efficiency gain) for the partner business unit. Act as the primary translator across all disciplines, explaining the same concept differently to different data team roles and executives. Proactively manage expectations and define the appropriate scope and flexible roadmaps. Develop product sense for data, anticipating common data quality issues, recognising when simpler solutions are better and strategically saying “no” to requests that compromise our aligned vision. Publicise and amplify the work that has been done to drive adoption of and learning from our solutions. Coach teams to be able to self‑serve their own preliminary investigations. Demand Shaping and Portfolio Management Focus on defining what to build and why (Data Product Partner) rather than how (AE/DA/DE/DS/DG). Ensuring that we built the right thing – vs the Data Team Lead owning did we build the thing right. While the Data teams own the timeline estimates, the DPP defines the urgency, the required business target date and the prioritisation, which then influences how the Craft team approaches the estimate. Shape and prioritise demand: Work with business stakeholders to clarify their data needs, translating vague requests into well‑defined, measurable projects and technical data requirements that can be handed over to the Data Teams. Manage the Business Unit’s data portfolio: Oversee the pipeline of data projects, data products and initiatives relevant to their business unit, ensuring alignment with capacity and strategic priorities. Work closely with Data teams to evaluate technical trade‑offs with potential business impact. Conduct value realisation tracking: Continuously monitor and report on the actual business outcomes and ROI delivered by completed data projects and products. Ad‑Hoc Analysis, Triage & Intake Management The Data Product Partner is the first line of response for data questions from the business and plays a critical role in determining the right level of effort and ownership. Conduct initial ad‑hoc analysis where appropriate, including lightweight SQL queries, exploratory analysis in Looker as well as quick validations, sanity checks and hypothesis testing. Use this initial analysis to answer simple, time‑sensitive business questions directly, clarify the underlying problem and assess feasibility, data quality and potential impact. Triage and prioritise ad‑hoc requests by determining whether the request can be resolved quickly or requires deeper analytical or engineering work. Escalate and hand over well‑defined requests to Data Analytics, Analytics Engineering, Data Engineering, Data Science or Data Governa