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 analytics, data science, platform or engineering 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 and data science and ML/AI capabilities The development of standardised process and practices to maximise the efficiency, effectiveness and quality of data science, analytics and data platform capability Ensuring consistency in analytical, data science and data platform standards, definitions, methodologies across the global and data science 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 analytics, data science, platform or senior engineering management role Strong knowledge of data platform technologies (SQL, GCP/Looker/Alteryx) 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, C++ 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 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 Commercially minded individual with the ability to identify valuable opportunities for analytics initiatives across all business functions 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 3 rd 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