Data Lead

High Wycombe, Buckinghamshire

Actively hiring, first seen by us 7 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: full_time
From the employer’s posting

What you’ll work on

Own and evolve the modern data platform as the single source of truth
Define and deliver the data strategy and roadmap
Design dashboards, reporting and self-service tools for teams across the business
Provide commercial insight on trading, merchandising, customer performance and operations
Develop forecasting, customer segmentation and predictive analytics

From the employer’s posting

Owning and evolving the company's modern data platform, ensuring it remains reliable, scalable and trusted as the single source of truth.

Defining and delivering the data strategy and roadmap, aligning priorities with wider business objectives.

Designing and delivering dashboards, reporting solutions and self-service tools that empower teams across the business.

Providing commercial insight across trading, merchandising, customer performance and operations.

Developing forecasting, customer segmentation and predictive analytics capabilities to support future growth.

What you’ll bring

All qualifications

Core experience

Significant experience leading data and analytics initiatives, ideally in retail or ecommerce
Track record of building and scaling modern data platforms and reporting
Strong hands-on experience in data engineering, analytics and business intelligence
Experience with cloud data warehouses and tools such as Snowflake, dbt and Fivetran

Qualification wording

Significant experience leading data and analytics initiatives, ideally within a retail, ecommerce or customer-focused environment.

A proven track record of building and scaling modern data platforms and reporting capabilities.

Strong hands-on experience across data engineering, analytics and business intelligence.

Experience working with cloud-based data warehouses and modern data-stack technologies such as Snowflake, dbt and Fivetran.

Apply at Mint Velvet

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 28, 20267 days ago
Recorded sightings: 9
Last seen by us: Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 7 and day 54.

From 7,977 similar postings that came down. Coming down is not always a hire.

Mint Velvet is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

dbt
Fivetran
Snowflake

Where the posting names them

- Strong hands-on experience across data engineering, analytics and business intelligence. - Experience working with cloud-based data warehouses and modern data-stack technologies such as Snowflake, dbt and Fivetran. - Knowledge of DataOps principles, data modelling, governance and best-practice development standards.

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Your next step

Complete your application on careers.mintvelvet.com. The employer’s form will show what is required.

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Hybrid working, 2 days per week in office

Mint Velvet began when founders Liz Houghton and Lisa Agar-Rea set out to create an unfailingly chic collection of contemporary, great quality staples and elevated fits that they felt were missing from their wardrobes. Feeling frustrated that they couldn’t find anything they wanted to wear, or the great customer service they craved, they started fusing relaxed comfort with glamorous yet wearable fashion trends. Relaxed Glamour was born.

As collaborative creatives, we take untold pride in our work, designing with heart and soul. We want to be a force for good and are committed to becoming a more circular and responsible business, from the fabrics we choose to our considered processes. We are an agile and growing business, and we work hard to create an environment which allows for growth and progression, balanced with the support and flexibility needed to meet the challenge of a high-performance culture.

Our leadership teams and founders sit amongst the teams and encourage a culture of balance and passion. MV is a very special place, and our values are anchored by three main pillars: people, planet, and community.

We're looking for an experienced and hands-on Data Lead to lead the next chapter of our data capability. This is a unique opportunity to take ownership of our modern data platform, shape our data strategy and build a culture where trusted insight drives every decision across the business.

As our Data Lead, you'll combine strategic vision with practical delivery, ensuring our data ecosystem is scalable, secure and commercially impactful. You'll play a pivotal role in enabling self-service analytics, supporting AI-driven decision-making and building a data capability that evolves alongside our business.

Our Values:

With Soul. Courage & Resilience. Passion & Drive. Entrepreneurial Spirit. Collaborative.

The Role

As Data Lead, you'll be responsible for defining the data vision, building capability and delivering insight that drives business performance.

Your responsibilities will include:

Owning and evolving the company's modern data platform, ensuring it remains reliable, scalable and trusted as the single source of truth.
Defining and delivering the data strategy and roadmap, aligning priorities with wider business objectives.
Leading the transition, optimisation and ongoing development of our data architecture and reporting capabilities.
Ensuring data from key business systems is accurately captured, modelled, governed and readily available to support decision-making.
Establishing and monitoring standards for data quality, documentation, platform performance and governance.
Managing relationships with technology partners and external data providers.
Remaining hands-on across data engineering, analytics and emerging data science initiatives, supporting delivery wherever needed.
Designing and delivering dashboards, reporting solutions and self-service tools that empower teams across the business.
Providing commercial insight across trading, merchandising, customer performance and operations.
Developing forecasting, customer segmentation and predictive analytics capabilities to support future growth.
Working closely with Product and Technology teams to ensure new systems, integrations and features generate high-quality, measurable data.
Defining KPIs, success metrics and reporting frameworks in partnership with business stakeholders.
Championing data literacy and encouraging evidence-based decision-making across the organisation.
Acting as the trusted data partner to senior leaders across the business.
Driving innovation in how data is accessed and utilised, including enabling safe and effective AI-powered data querying.
Ensuring data remains secure, governed and compliant with relevant data protection requirements.

As we continue to embrace AI, you'll play a key role in ensuring data can be used confidently, consistently and responsibly.

You'll:

Develop trusted data models and metric definitions that create consistency across reporting and AI-generated insights.
Enable governed self-service access to data through modern analytics and natural language querying tools.
Establish controls, permissions and security standards to ensure users only access appropriate information.
Validate AI-generated outputs against trusted business metrics and continuously improve data quality and accuracy.
Support the development and adoption of responsible AI practices across the organisation.

What You'll Have

We're seeking a commercially minded data professional who enjoys building capability, solving complex problems and influencing business strategy through insight.

You'll bring:

Significant experience leading data and analytics initiatives, ideally within a retail, ecommerce or customer-focused environment.
A proven track record of building and scaling modern data platforms and reporting capabilities.
Strong hands-on experience across data engineering, analytics and business intelligence.
Experience working with cloud-based data warehouses and modern data-stack technologies such as Snowflake, dbt and Fivetran.
Knowledge of DataOps principles, data modelling, governance and best-practice development standards.
Experience delivering advanced analytics, forecasting, customer segmentation or predictive modelling initiatives.
Strong understanding of how data can be leveraged to support AI and natural language querying.
Excellent stakeholder management skills, with the ability to translate complex concepts into clear business value.
A highly analytical mindset, balanced with commercial awareness and pragmatism.
Experience coaching, mentoring or developing others.
Strong communication and influencing skills, with confidence engaging stakeholders at all levels.
A passion for continuous improvement, innovation and creating a data-driven culture.

You'll Be Rewarded With

Competitive starting salary and great career prospects in a fast paced and growing business
25 days holiday, plus bank holidays and a day off on your birthday
Company-funded private health insurance and access to Smart Health
Life assurance
Discretionary bonus scheme
50% staff discount
Summer hours- 3pm finishes every Friday throughout June, July & August
Bespoke induction support and ongoing development to help you thrive in your new role
A welcoming and inspiring work-environment - take advantage of Yoga classes, social activities, an early finish on pay day and more

Employment type

Full Time

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