Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Wild

Data & AI Lead

Wild

. Own the modern data stack, including Fivetran, Snowflake, dbt Cloud, ThoughtSpot and GCP .

Posted 10/16/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing the modern data stack, including Snowflake and dbt, while ensuring data governance and accuracy in AI applications. Proven ability to lead teams, manage vendor contracts, and drive data strategy in a D2C and retail environment.

Highest-signal resume keywords
Snowflake ExpertiseDbt ExperienceData Governance KnowledgeTeam LeadershipGCP Familiarity

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Architecture DesignData Validation FrameworksAI Strategy DevelopmentData Tool SelectionContract Management
Soft Skills
Project DeliveryTeam CoachingMultitasking AbilityCommunication Skills
Tools & Technologies
FivetranThoughtSpotGCPBI ToolsAI Tools
Industry Keywords
D2CRetail BusinessP&L ManagementConsumer GoodsEPOS Data

Tech Stack

Tools & technologies
CloudGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Own the modern data stack, including Fivetran, Snowflake, dbt Cloud, ThoughtSpot and GCP
  • Select tools, manage contracts and vendors, and control platform costs
  • Create data validation and testing frameworks
  • Provide technical guidance and answer data-related questions
  • Drive data and AI strategy
  • Ensure AI operates in a safe, governed environment with appropriate access, privacy and responsible use
  • Own the semantic layer defining metrics for BI tools, Claude and agents
  • Build evaluations, checks and validations for data and AI accuracy
  • Work with Finance on the P&L and margin in a D2C and retail business
  • Lead and develop analytics engineers, AI and automation engineers and offshore colleagues
  • Set priorities, ensure delivery, review code, approve pull requests and coach the team
  • Report to the Chief Finance & Operations Officer

Requirements

What you’ll need
  • 5+ years experience in a Data role
  • Deep, hands-on experience with Snowflake and dbt
  • Good experience with GCP
  • Strong knowledge of data governance
  • Experience designing data architecture, choosing data tooling and managing contracts
  • Experience leading and developing a team, with a track record of getting projects delivered
  • Experience putting tests, evals and validations around data and AI to keep it safe and accurate
  • Commercial mindset, with a clear understanding of margin in a D2C and retail business
  • Ability to work at pace and juggle a lot at once
  • Genuine drive to be at the forefront of AI and bring the team with you
  • Desirable: experience with a range of BI and visualisation tools
  • Desirable: DTC, subscription or consumer goods experience
  • Desirable: retail data such as EPOS or panel data
  • Desirable: experience building on AI and LLM tools with company data

Benefits

Comp & perks
  • 25 days holidays + bank holidays + 9 extra remote working days
  • Hybrid working, 3 days a week in our shiny new London office
  • Enhanced maternity, paternity & parental leave
  • 4% Company Pension
  • Mental well-being support through Spill
  • Private healthcare through Vitality
  • Weekly early finishes and social events
  • Annual L&D budget
  • Free breakfast
  • Free & discounted Wild products
  • 2 x team volunteering days and 2 x personal volunteering days
  • Access to cycle to work & cycle saver scheme