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 .
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.