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Data Product Partner - London
About Perk
Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to eliminate the tedious manual work distracting employees from their core responsibilities, our solutions streamline everything from travel bookings to expense processing, invoice management, and more. By removing shadow workloads (which waste 7 hours per employee weekly and contribute to a $1.7 trillion productivity gap), we empower businesses to focus on real work with real impact.
Trusted by over 10,000 companies, including Wise, On Running, Breitling, and Fabletics, we help organisations reclaim lost productivity. Founded in 2015, Perk has evolved into a global company of 1,800+ people across 12 offices, headquartered in London and Boston.
We blend innovation, control, and simplicity to transform how businesses operate and how people thrive at work.
At Perk, we live by our core values:
- Being an owner who takes accountability
- Delivering a 7-star experience
- Working as one team
We value curiosity, purpose, and mindset, not just expertise. Our talent team comprises leaders from travel and SaaS industries, unified by a shared mission across 70+ countries. If you’re eager to drive real impact and shape how millions experience modern work, we’d love to collaborate with you.
Learn more: www.perk.com
The Opportunity
We’re building a new team of Data Product Partners, serving as a bridge between business needs and complex data systems. Our goal is to ensure data assets are: ✅ Trustworthy (reliable, accurate) ✅ Discoverable (findable, accessible) ✅ Impactful (driving measurable outcomes) ✅ User-centric (solving real problems)
Role Title: Data Product Partner
Reports To: Manager, Data Product Partner
Core Mandate
As a Data Product Partner, you’ll be the sole data expert assigned to a specific business domain (e.g., Customer Care, Finance, Marketing, Revenue, Spend & Control, Travel). You’ll act as the primary consultant, strategist, and relationship manager, ensuring data initiatives are aligned, impactful, and owned across the business.
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We’re hiring for both Regular and Senior levels.
Responsibilities
1. Relationship Management & Strategy
- Collaborate with business leaders to define how data can:
- Drive strategic objectives
- Solve critical challenges
- Uncover new opportunities
- Proactively identify high-impact use cases and data initiatives delivering measurable value (e.g., revenue growth, cost reduction, efficiency gains).
- Translate data concepts across disciplines—sraining for non-technicals, simplifying the business case for technical teams.
- Manage expectations and scope while maintaining a flexible roadmap.
- Develop product intuition by:
- Anticipating data quality issues
- Scrutinising requests for simplicity (strategically saying "no" when risks outweight benefits)
- Amplifying success to scale adoption and learning
- Enable self-sufficiency by coaching inato-matic teams to conduct preliminary investigations.
2. Demand Shaping & Portfolio Management
- Focus on "what to build and why" (your expertise), not “how” (left to AE/DA/DE/DS/DG teams) to ensure relevance, not just execution.
- While Data Teams handle timelines, you drive:
- Technical urgency → Business deadlines → Elitical prioritisation for the Craft team’s estimates.
- Translate business needs into:
- Well-defined projects with clear, measurable requirements
- Technical specifications handed to Data teams
- Manage the business unit’s data portfolio, ensuring alignment with:
- Available capacity
- Strategic priorities
- Track value realisation through:
- Monitoring business outcomes
- Reporting on ROI from completed projects/products
3. Ad-Hoc Analysis, Triage & Intake Management
- Serving as first-response triage for business data questions
- Conduct lightweight analyses where appropriate:
- SQL queries
- Exploratory analysis in Looker
- Sanity checks, hypothesis testing
- Use initial findings to:
- Answer urgent questions
- Clarify problems
- Assess feasibility, quality, and impact
- Prioritise requests:
- Escalate based on effort: Intended vs. scalable/engineering-oriented
- Hand off clearly with:
- Context
- Urgency
- Success criteria
- Identify recurring issues indicating gaps such as:
- Breakages in data quality
- Documentation/accessibility hurdles
- Enabling team adoption rather than dependency
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4. Consultation & Enablement
- Consulting: Offer expert advice on:
- Data availability
- Methodologies
- Insight interpretation
- Boost data literacy by:
- Championing use of data tools
- Coaching teams on integrating data into decisions
- Proactively surface insights (trends, risks).
- Close the loop from insight to action by ensuring:
- Insights are clearly communicated, translated, and embedded.
- Prioritise data quality pain points for resolution by the Data Team.
How We Work
Perk’s IRL-first approach emphasises collaboration on-site 3 days a week, to fuel productivity, creativity, and connection.
- Location: This role requires commuting proximity to our hubs (London/Boston).
- Relocation Support: Offered for eligible candidates from anywhere globally.
- Language: English is the only language used.
We champion diversity and inclusion, welcoming candidates regardless of background, origin, or identity.
Key Policies
🔴 Scam Prevention: All official communication is via:
- Email:
@perk.comor@externalperk.com - Authorised social media channels
- Recruiters listed on Perk’s official LinkedIn Page.
❌ Legitimate Perk never:
- Asks for payment (equipment, training, fees)
- Requests early financial data (bank details)
- Communicates via unsanctioned apps (WhatsApp, Telegram, Signal)
If suspicious convcrs - Report to security@perk.com.
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Jessica, London
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