Data Lead: Hybrid, AI-Driven Analytics Platform Owner

Mint Velvet; High Wycombe; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

25 days holiday

Private health insurance

Life assurance

Discretionary bonus

Staff discount

Summer hours

Induction & development

Yoga classes & social activities

Job summary

Mint Velvet is seeking an experienced Data Lead to own and evolve the company’s data platform, shaping data strategy and delivering trusted insights across the business. You’ll lead data engineering, analytics and BI, driving self‑service analytics and AI‑driven decision making.

In a hybrid model with dual office days, you’ll ensure data quality, governance and security, partner with Product and Technology, and mentor teams to create a data‑driven culture that supports growth and commercial

Qualifications

• Experience leading data and analytics initiatives in retail or ecommerce.
• Proven track record building modern data platforms and reporting capabilities.
• Hands-on data engineering, analytics and business intelligence.
• Experience with cloud warehouses and modern data stack (Snowflake/dbt/Fivetran).
• Knowledge of DataOps, governance and data quality standards.
• Experience with forecasting, segmentation or predictive analytics.

Responsibilities

• Own and evolve the modern data platform as single source of truth.
• Define and deliver the data strategy and roadmap aligned to business objectives.
• Lead data architecture, governance and reporting capabilities development.
• Ensure data from key systems is captured, modeled and available for decision-making.
• Develop dashboards and self-service analyses across the business.
• Collaborate with Product and Tech teams to enable new systems and integrations.

Skills

Data strategy

Stakeholder management

Analytical thinking

Communication

Mentoring/ coaching

Tools

Snowflake

dbt

Fivetran

Job description

Mint Velvet is seeking an experienced Data Lead to own and evolve the company’s data platform, shaping data strategy and delivering trusted insights across the business. You’ll lead data engineering, analytics and BI, driving self‑service analytics and AI‑driven decision making.

In a hybrid model with dual office days, you’ll ensure data quality, governance and security, partner with Product and Technology, and mentor teams to create a data‑driven culture that supports growth and commercial