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, delivering positive business results.

WHAT YOU'LL BE DOING:

• 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, ERD’s 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 

 WHAT YOU'LL NEED:

Essential Criteria:

• 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 things like pub/sub and 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, delivering 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 
• Knowledge of the technical skills throughout data analytics, science and engineering 
• 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 

WHAT YOU COULD ALSO HAVE:

• 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 

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

CLOSING DATE: 3rd November 2025

BELONGING AT GYMSHARK.

Our mission is to be a place where everyone belongs. We’re an equal opportunities employer, and for us that means 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 have a 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 talent@gymshark.com. 

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.

THE PERKS.

Standard benefits include:

• 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 specific benefits include:

• 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.