Lead Academy Performance Scientist

Sheffield United FC; Sheffield; Presencial; GBP 65 000 - 80 000; Tempo integral

Resumo da oferta

Sheffield United FC’s Training Academy seeks a Lead Academy Performance Scientist to deliver high-quality applied performance science support across the Academy, with a focus on the Professional Development Phase.

You will oversee data collection, athlete monitoring and analysis, developing dashboards to inform training design, player management and long-term athletic development, while collaborating with coaches, medical staff and performance practitioners.

Qualificações

• BSc in Sport & Exercise Science or related field required.
• Experience delivering sports science support within professional or elite sport.
• Advanced proficiency in Microsoft Excel and Power BI.
• Experience using GPS technology and interpreting performance data.
• Strong understanding of statistical analysis methods.
• Ability to interpret complex datasets and communicate practical recommendations.
• Experience delivering gym/pitch-based athletic development.
• Strong organisational and communication skills.
• Ability to communicate with players and coaches across academy phases.

Responsabilidades

• Lead collection, management and interpretation of Academy performance data.
• Manage athlete monitoring systems and develop performance dashboards.
• Ensure data governance and quality assurance; report findings to coaching staff.
• Translate analytical insights into practical recommendations for training design and player management.
• Lead or support physical testing and development sessions.
• Support development of performance science practices and technologies.

Conhecimentos

BSc in Sport & Exercise Science

Sports science in elite sport

Excel

Power BI

GPS data interpretation

Statistical analysis

Communication skills

Team leadership

Athlete development

Formação académica

BSc in Sport & Exercise Science

Postgraduate qualification in Data Analytics

Ferramentas

Catapult GPS

VALD

Power BI

Excel

Python

R

Descrição da oferta de emprego

Lead Academy Performance Scientist | Sheffield United FC (Jobs in Data Science TheASPA)

Sheffield United FC Sheffield United Training Academy Contract: Permanent | FT Hours: 40 hours/week Salary: DOE Reports to: Academy Head of Elite Performance Closing: Thursday 22 October 2026 Job reference: AC1026-PLAPS

Sheffield United FC are recruiting a Lead Academy Performance Scientist to deliver high-quality applied performance science support across their Academy, with a particular focus on the Professional Development Phase.

The role combines performance data analytics, athlete monitoring, data visualisation and applied physical development, supporting evidence-based decision-making, player availability and long-term athletic development.

Working within the Academy Elite Performance Team, the successful candidate will help translate complex performance information into practical insights for coaches, medical staff and physical performance practitioners.

The Role

The Lead Academy Performance Scientist will oversee the collection, management, analysis and interpretation of key physical performance data across the Academy.

A central responsibility will be managing athlete monitoring systems, developing performance dashboards and ensuring data informs decisions around training design, player management, rehabilitation and athletic development.

Alongside these analytical responsibilities, the role includes supporting gym and pitch-based physical development, leading the Academy Data Analyst and Data Analyst Volunteers and contributing to the ongoing development of performance science practice.

Key Responsibilities

Performance Data & Athlete Monitoring

• Lead the collection, management and interpretation of Academy performance data.
• Manage athlete monitoring systems using Catapult GPS and VALD technologies.
• Ensure accurate data capture, quality assurance, reporting and appropriate data governance.
• Develop and maintain performance dashboards, reports and visualisations.
• Interpret complex datasets and communicate meaningful findings to coaches and multidisciplinary staff.
• Identify performance trends that inform player development, performance and availability.

Applied Performance Science

• Work collaboratively with coaching, medical and physical performance staff.
• Provide evidence-informed recommendations supporting training design, player management and rehabilitation progression.
• Contribute to long-term athletic development planning.
• Lead or support physical testing and the delivery of gym and pitch-based athletic development sessions.
• Evaluate existing performance science practices and introduce evidence-based improvements.

Leadership & Professional Development

• Manage the Academy Data Analyst and Data Analyst Volunteers.
• Ensure consistent and high-quality analytical support across the Academy.
• Contribute to the ongoing development of performance science processes and technologies.
• Lead and participate in internal CPD activities.
• Maintain professional development through external learning opportunities.
• Support effective multidisciplinary collaboration within the Academy Elite Performance Team.

Essential Skills & Experience

Candidates must demonstrate:

• A BSc in Sport & Exercise Science, Strength & Conditioning or a related discipline.
• Experience delivering sports science support within professional or elite sport.
• Advanced proficiency in Microsoft Excel and Power BI.
• Previous experience using GPS technology and interpreting associated performance data.
• Strong understanding of statistical analysis methods.
• Ability to interpret complex performance datasets and communicate practical recommendations.
• Experience delivering gym and/or pitch-based athletic development.
• Strong organisational and communication skills.
• Ability to communicate effectively with players across different age groups and coaches across Academy phases.

Essential Certifications & Checks

• FA Safeguarding Children certificate.
• FA First Aid — Level 2 Emergency First Aid in Football.
• Enhanced DBS check following acceptance of an offer.

Desirable Skills & Experience

• Postgraduate qualification in Data Analytics, Data Management or a related discipline.
• Experience using Python, R or similar programming languages for data analysis and visualisation.
• Previous line management or performance management responsibilities.
• Experience working within a professional football Academy.

Technical Skills & Technologies

Catapult GPSVALDPower BIExcelPython — DesirableR — Desirable

Why This Role?

This is an opportunity for practitioners who want to work at the intersection of sports science, performance analytics and player development.

The role extends beyond traditional physical monitoring, incorporating responsibility for data infrastructure, analytical reporting and the management of Academy data personnel.

The successful candidate will contribute across the performance workflow:

Data Collection → Athlete Monitoring → Statistical Analysis → Data Visualisation → Applied Performance Decisions

For candidates with experience in GPS analytics, Power BI and applied sports science, the position offers scope to influence how physical performance data is translated into coaching and player development practice.

Working Requirements

The role involves working at Sheffield United's Training Academy and travelling to opposition clubs as required.

Applicants must demonstrate eligibility to work in the UK and comply with the club's safeguarding, equality and diversity policies.

Sheffield United FC are committed to safeguarding children, young people and adults at risk and promoting an inclusive working environment.

Closing date: Thursday 22 October 2026

Lead Academy Performance Scientist | Sheffield United FC (Jobs in Data Science TheASPA)

The club reserves the right to close applications early if a high volume of applications is received.

Adapted for the ASPA Jobs Board from Sheffield United FC's official Lead Academy Performance Scientist Job Description and Person Specification.

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