Senior Data Team Lead

We’re reinventing payments.
In less than four years, Dojo disrupted the market to become the largest and most loved acquirer in the UK. Our payments infrastructure, purpose-built for in-person commerce, is game changing.

Now, over 150,000 customers across four countries choose to transact billions with us every year.
But we’re just getting started.

Our people are the driving force behind our success. They are our greatest investment and our ultimate competitive advantage. We hire exceptional people and give them the autonomy, trust, and ownership to thrive. The results take care of themselves.

The Role

As the Senior Data Team Lead for Customer Operations, you are the strategic lead and technical architect for the data engine that keeps Dojo moving. This is a manager role designed for a "player/manager" who thrives on building high-performance teams while remaining deeply technical. 

You will lead a team of three Bristol-based data specialists, overseeing the data ecosystem for our core operational pillars: Customer Service, Performance Management (F&P, Training, Quality), Loyalty, Change, Collections, Logistics and Supply Chain. The Bristol office is our hub for all customer contact for 150k+ businesses across Europe, supporting Dojo as a scaling business currently in 4 markets and expanding into new countries.

Your mission is to bridge the gap between complex operational workflows and actionable data assets. You won't just manage; you will partner with senior stakeholders to challenge assumptions, refine requirements, and ensure every sprint delivers value that aligns with both Customer Ops priorities and company-wide goals.

What You Will Do

Team Leadership & Delivery

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  Manage and Mentor: Lead a team of three, focusing on day-to-day wellness, professional growth, and career development.

  
  


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  Agile Orchestration: Act as the lead for two-week sprints, gathering requirements from stakeholders and translating them into prioritised tasks.

  
  


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  Unblock & Align: Work closely with team members to resolve technical hurdles and ensure output remains consistent with our architectural standards.

  
  


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  Collaborative Forum: Represent Customer Ops within the wider "Embedded Data Manager" forum to align on global data strategy and best practices.

  
  

Strategic Partnering

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  Stakeholder Management: Act as a trusted advisor to senior leads in Logistics, Billing, and Service.

  
  


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  Create Actionable Insights: Interrogate requests to find the "true" business question, contributing to the design of solutions that drive operational efficiency.

  
  


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  KPI Stewardship: Shape and support operational KPIs, ensuring call centres and supply chain partners have accurate, real-time reporting.

  
  

Technical Contribution (The "Player" element)

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  Hands-on Modelling: Lead by example by contributing to our dbt projects and BigQuery environment.

  
  


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  System Evolution: Oversee critical data initiatives such as system migrations (CRM/Billing) and the adoption of best-in-class observability tools

  
  

What You Will Bring

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  Leadership Experience: Proven ability to manage technical teams, ideally in a fast-paced or agile environment.

  
  


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  Analytics Engineering Core: Expert-level SQL and significant experience with dbt for building version-controlled data models.

  
  


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  Operational Expertise: Deep understanding of transactional, billing, or logistical datasets.

  
  


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  Communication Mastery: The ability to explain complex data logic to non-technical stakeholders and influence senior leadership.

  
  


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  Strategic Vision: Experience balancing immediate "high-impact" business needs with long-term technical health and debt management.

  
  

Nice to Have

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  Tech Stack Proficiency: Familiarity with BigQuery, Looker (LookML), and GitHub.

  
  


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  Experience with Salesforce data integration.

  
  


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  Experience working with Agile methodologies using tools such as Jira.

  
  


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  Familiarity with orchestration and observability tools like Airflow or Monte Carlo.

  
  


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  Experience with Python.

  
  


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  Background in Fivetran or Airbyte for data ingestion.