Company Description
At Frasers Group we’re rethinking retail. Through digital innovation and unique store experiences, we’re serving our consumers with the world’s best sports, premium and luxury brands globally. As a leader in the industry, we’re elevating the retail experience for our consumers through our collection of established brands, including Sports Direct, FLANNELS, USC, Frasers, and GAME.
Why join us?
Our mission - we are building the worlds most admired and compelling brand ecosystem
Our purpose – we are elevating the lives of the many with access to the world’s best brands and experiences
At Frasers Group, we fear less and do more. Our people are forward thinkers who are driven to operate outside of their comfort zone to change the future of retail, embracing challenges along the way. The potential to elevate your career is massive, the experience unrivalled. To be able to make the most of it you need to live and breathe our principles:
Think without limits - Think fast, think fearlessly, and take the team with you
Own it and back yourself - Own the basics, own your role and own the results
Be relevant - Relevant to our people, our partners and the planet
Are you ready to join the Fearless?
Job Description
The Data Product Owner (Operational) will play a crucial role in overseeing the lifecycle of our data products, ensuring their optimal performance and alignment with business objectives. This individual will collaborate with cross-functional teams to define product vision, strategy, and requirements while managing operational processes and ensuring data integrity. The ideal candidate is both a strategic and tactical thinker with a deep understanding of data operations, product management, and stakeholder engagement.
Key Responsibilities:
Product Vision & Strategy: Develop and communicate a clear vision and strategy for data products, aligning with business goals and market needs.
Requirements Gathering: Collaborate with stakeholders to gather and prioritize product requirements, translating them into actionable plans.
Roadmap Development: Create and maintain product roadmaps, ensuring timely delivery of features and enhancements.
Operational Management: Oversee the day-to-day operations of data products, including data ingestion, processing, and quality assurance.
Stakeholder Engagement: Act as the primary point of contact for stakeholders, ensuring their needs are met and fostering strong relationships.
Data Integrity: Ensure data accuracy, consistency, and reliability across all data products.
Performance Monitoring: Monitor product performance metrics, identifying areas for improvement and implementing solutions.
Cross-Functional Collaboration: Work closely with engineering, data science, and business teams to ensure seamless integration and alignment of data products.
Documentation: Maintain comprehensive documentation of product features, processes, and updates.
Compliance & Security: Ensure data products comply with industry standards, regulations, and security protocols.
Qualifications
Experience: Minimum of 4 years of experience as a data-focussed Business Analyst, Product Owner, or a related role.
Education: Bachelor's or Master's degree in Data Science, Computer Science, Business Administration, or a related field.
Analytical Skills: Proficient in analysing complex data sets and translating insights into actionable product features.
Experience with KPIs and OKRs: Able to set and drive clear KPIs and OKRs within a complex technology and data landscape.
Technical Proficiency: High technical acumen and the ability to communicate well with the Business, Architecture and Engineering is a requirement, as well as a strong understanding of data management technologies, including databases, ETL processes, and data analytics tools.
Project Management: Excellent project management skills, with the ability to prioritize tasks, manage timelines, and deliver results.
Communication: Exceptional verbal and written communication skills, capable of conveying technical concepts to non-technical stakeholders.
Problem-Solving: Strong problem-solving abilities, with a strategic and analytical mindset.
Collaboration: Proven ability to work effectively in cross-functional teams and build strong relationships.
Agile Methodologies: Experience with Agile/Scrum methodologies and tools.
Attention to Detail: High attention to detail, ensuring precision and accuracy in all aspects of data product management.
Leadership: Demonstrated leadership skills, with the ability to inspire and guide teams towards achieving common goals.
