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About the Role
We are seeking a hands-on, commercially minded Data & AI Lead to manage our data stack and guide the team in building advanced systems. This role is pivotal in evolving our data function towards self-service capabilities through AI.
Responsibilities
- Own and maintain the modern data stack (Fivetran, Snowflake, dbt Cloud, ThoughtSpot, GCP), ensuring reliability and cost-effectiveness.
- Manage tooling decisions from selection to vendor management, keeping platform costs in check.
- Create frameworks for data validation and testing to ensure data accuracy.
- Serve as the primary point of contact for data-related inquiries and possess in-depth knowledge of our data.
- Stay updated on new stack features and implement relevant ones.
- Drive the company's data and AI strategy.
- Ensure AI operates in a safe, governed environment with high-quality data, focusing on access, privacy, and responsible use.
- Own the semantic layer for consistent metric definition across BI tools and AI agents.
- Implement checks and validations to monitor data accuracy and identify deviations.
- Collaborate with Finance to understand P&L drivers and margin impact in a D2C and retail business.
- Apply a commercial mindset to all decisions, challenging narratives not supported by data.
- Lead and develop a diverse team, including analytics engineers and AI/automation engineers.
- Ensure project delivery through clear prioritization and sound judgment.
- Lead by example, conduct code reviews, approve pull requests, and coach team members.
Requirements
- 5+ years of 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, including selecting data tooling and managing contracts.
- Experience leading and developing a team with a track record of project delivery.
- Experience implementing tests, evaluations, and validations for data and AI safety and accuracy.
- A commercial mindset with a clear understanding of margin in a D2C and retail business.
- Ability to work at pace and manage multiple priorities.
- A genuine drive to be at the forefront of AI and to lead the team in this area.
- Experience with a range of BI and visualization tools.
- DTC, subscription, or consumer goods experience.
- Experience with retail data such as EPOS or panel data.
- Experience building on AI and LLM tools with company data.
Skills
- Data Stack Management
- Data Pipeline Development
- Tooling Decision Making
- Data Validation and Testing
- Data Governance
- AI Strategy
- Responsible AI Use
- Semantic Layer Management
- Commercial Acumen
- Team Leadership
- Project Management
- Code Review
- Coaching
- BI Tools
- Visualization Tools
- DTC
- Subscription Models
- Consumer Goods
- EPOS Data
- Panel Data
- AI
- LLM
Location
- London, UK
Work Type
- Hybrid
- Full-time
Experience Level
- 5+ years
Benefits
- 25 days holidays + bank holidays
- 9 extra remote working days
- Enhanced maternity, paternity & parental leave
- 4% Company Pension
- Mental well-being support through Spill
- Private healthcare through Vitality
- Weekly early finishes
- Social events
- Annual L&D budget
- Free breakfast
- Free & discounted Wild products
- 2 x team volunteering days
- 2 x personal volunteering days
- Access to cycle to work & cycle saver scheme
About the Company
- Wild is a fast-growing personal care brand focused on eliminating single-use plastic.
- We offer refillable, natural deodorant and have expanded into various collaborations.
- Now part of the Unilever family, we combine global reach with a start-up's pace and ambition.
Equal Opportunity
- At Wild, we know that diversity drives innovation and creativity.
- We are committed to creating and maintaining a workplace where all employees feel valued and empowered to bring their most authentic selves to work.
- We recognise that diversity goes beyond visible differences such as race, gender, age, and ethnicity, and encompasses a broad spectrum of backgrounds, experiences, perspectives, and abilities.
- We encourage individuals from all backgrounds to apply.
- If we can make any adjustments to help you to perform your best in the process, please let us know!