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Head of Data Platform

Gymshark US

Metropolitan Borough of Solihull

Hybrid

GBP 80,000 - 100,000

Full time

6 days ago
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Job summary

A leading fitness brand in Solihull is seeking a Head of Data Platform to lead the development of data strategies and insights. This role requires extensive experience in data infrastructure, excellent leadership skills, and strong knowledge of relevant technology such as SQL and GCP. You'll coach the data team, influence key decision-makers, and ensure data practices align with commercial goals. The position is hybrid with a commitment of at least 3 days onsite.

Benefits

Performance-based bonus opportunity
Funded healthcare benefit
25 days holiday + additional day for birthday
Contributory employer pension scheme
Flexible benefits programme
Employee discount
Financial, physical and mental wellbeing support

Qualifications

  • Extensive experience in a data platforms/data infrastructure or operations.
  • Strong knowledge of relevant programming languages and their application.
  • Experience collaborating with stakeholders to deliver commercially valuable solutions.

Responsibilities

  • Lead the coaching and development of the data platform and data science team.
  • Develop a data strategy that aligns with commercial goals.
  • Provide day-to-day support to the team and ensure they meet objectives.

Skills

Data platform knowledge
Leadership skills
Machine learning understanding
Collaboration skills
Stakeholder management

Education

Experience in data platforms/data infrastructure
Experience in data engineering or related discipline

Tools

SQL
Python
Terraform
GCP
Looker
Job description
Overview

Are you our next Head of Data Platform

We're looking for someone to join our Tech Engineering team to support the development of Gymshark's data platform, data science and data platform capabilities to deliver a deep, accurate, reliable and continuously improving understanding of Gymshark’s business and customers.

Currently, in a senior data or technical leadership role, you will have a strong knowledge of data platform technologies and excellent leadership skills with an ability to drive actionable, data‑driven insights influencing senior decision makers and delivering positive business results.

Responsibilities
  • Leading coaching and developing the data platform, data science and developing ML/AI capability at Gymshark
  • Development of a data strategy that aligns with Gymshark’s commercial goals
  • Providing Gymshark’s data platform to support our insights, analytics and ML/AI capabilities
  • The development of standardised process and practices to maximise the efficiency, effectiveness and quality of data platform and data infrastructure
  • Ensuring consistency in analytical, data science and data platform standards, definitions, methodologies across the global and data community
  • Providing day‑to‑day support to the team; giving clear direction on responsibilities, objectives and development plans ensuring they are delivering against each area
  • Documentation of our data assets ensuring we understand what data we store, how they can access it and what it represents (such as a data dictionary, ERDs for data systems, etc.)
  • Personal and professional development of all data teams
  • Putting Gymshark on the leading edge of applied data disciplines through the trialling and adoption of appropriate new methodologies and tools
  • Continuously assessing our analytics, data science and data platform toolkit ensuring it is fit for purpose and enables market‑leading and forward‑thinking initiatives
  • Fostering a culture of continuous learning, sharing and development
  • Encouraging a culture of belonging that everyone wants to be part of

This is a hybrid role and would require the successful candidate to attend at least 3 days a week in GSIQ Solihull, UK.

Qualifications
  • Extensive experience in a data platforms/data infrastructure or operations
  • Strong knowledge of data platform technologies (we use SQL, Python, Terraform, GCP, Looker)
  • A core understanding of machine learning, analytics and data platform concepts (predictive modelling, forecasting, clustering, data quality, ETL, data lakes, etc.)
  • Knowledge of relevant programming languages (SQL, Python, Java, etc.) and their application in data analytics, data science, data engineering or related field
  • Knowledge of the technical skills throughout data analytics, science and engineering
  • Demonstrable knowledge of appropriate data ingestion and storage patterns (we use Pub/Sub, dataproc with BigQuery and Iceberg tables, and still have some batch and FTP things laying around)
  • Ability to lead effectively through coaching, personal and professional development plans and effective feedback
  • Ability to delegate, support, coach and direct and know when and how to adopt each appropriately
  • Experience of delivering actionable data‑driven insight that has influenced senior decision makers and delivered positive business results
  • Experience distributed stakeholder management (UK, EU, US)
  • Experience collaborating with stakeholders to deliver commercially valuable solutions
  • Ability to influence senior decision makers specifically on the impact and opportunities that data‑disciplines can deliver
  • Ability to effectively prioritise workload for your team understanding which projects will drive the most commercial value and ensuring your team works efficiently on all projects.
  • Ability to manage high‑pressure projects and balance conflicting business goals
  • Experience with challenging methodologies and approaches within and outside your preferred domain to ensure the right techniques are used to complete projects.
  • Experience collaborating with 3rd parties and partners to deliver business goals
Additional Qualifications
  • Experience as data engineer, data scientist, data quality or data analyst or related discipline
  • Experience or ability to lead organisational change towards data‑related decision‑making (data‑led vs data‑informed)
  • Experience in a delivery‑focused role
  • Knowledge of GDPR and related governance practices
Belonging at Gymshark

Our mission is to be a place where everyone belongs. We’re an equal‑opportunity employer and we always strive to be as inclusive as possible in all aspects of employment, right from your application. We’re committed to finding reasonable adjustments for candidates with specific needs or disability during our recruitment process and all applicants will be considered fairly and equally. We do not tolerate discrimination of any kind.

If you’d like to request a reasonable adjustment please email us.

About Us

We’re here to unite the conditioning community. We believe that putting the sweat in today prepares us for tomorrow. So we give people the tools they need to reach further, go faster, be stronger. We celebrate those who show up for themselves to be their physical or mental best, whatever that means for them. It’s what we want for our community and our team. A team that’s growing rapidly around the world. A collective of talented individuals working together to invent Gymshark’s future. Our plans are ambitious and we’re looking for people who want to join us for the ride. Our growth will be your growth.

Benefits
  • Performance‑based bonus opportunity
  • Funded healthcare benefit
  • 25 days holiday + additional day for your birthday & bank holidays
  • Contributory employer pension scheme
  • Flexible benefits programme including salary sacrifice, EV scheme, dental insurance, cycle to work, tech scheme, holiday trading
  • Gymshark employee discount & long‑service awards
  • Access to high‑street cashback and discounts
  • Financial, physical and mental wellbeing support
  • Enhanced family leave package
  • Life assurance
Office Location Benefits
  • Gym membership to The Lifting Club (LC)
  • Onsite lunch provision & coffee bars
  • EV charge points available

Note: The bonus program and benefits have certain eligibility requirements. Gymshark reserves the right to amend these programs in whole or in part at any time without advance notice.

Closing Date

3rd November 2025

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