Digital Product Manager

Graduate Product Manager - ERP, Data & AI Kingston-on-Thames (4 days in office, 1 day from home) Full-Time (37.5 hours)

Our people areat the heart of our company. With a passion for exceptional service, anda love for our product, our team is dedicated to offering the best customerexperience – nothing is too much trouble.

About the Role:

We are lookingfor a technically minded, data-driven graduate to join our team as a GraduateProduct Manager, helping to shape the technology and data capabilities thatsupport our growing fashion business.

Our business ismoving to Microsoft Dynamics 365 (D365) as its in-house Enterprise ResourcePlanning (ERP) system. As we onboard new brands, we need to ensure theirsystems, processes and data integrate effectively with our existinginfrastructure. You will play an important role in making this happen, helpingto build, configure and set up the systems and data flows that enable newbrands to operate seamlessly within our business.

This is anexciting opportunity for a graduate with a degree in a data-driven,technology-based, computer science or engineering discipline who wants todevelop a career at the intersection of technology, business systems, data andproduct management.

You willinitially undertake a structured nine-month training programme delivered inpartnership with our specialist agency partner, developing your knowledge ofMicrosoft Dynamics 365, with a particular focus on Finance and Supply ChainManagement. Following this training, you will take on increasing responsibilityfor technology and data initiatives, with a growing focus on how AI can beapplied to improve business processes, decision-making and operationalefficiency.

You do notneed previous ERP experience. We are looking for someone withstrong technical foundations, analytical thinking, a genuine interest inenterprise systems and data product management, and the curiosity and drive tolearn.

Responsibilities:

1. Brand onboarding and systemsintegration

• Support the technical onboarding of new fashion brands into our business, helping to ensure their systems integrate effectively with our in-house Microsoft Dynamics 365 ERP platform.
• Assist with the build, configuration and setup activities requiredto bring new brands onto our systems.
• Help map existing brand processes, data structures and systemrequirements to our in-house operating model.
• Support the identification of integration requirements, datadependencies and potential system issues.
• Work with internal teams and external technology partners to helpdeliver successful, efficient and repeatable onboarding projects.

2. Microsoft Dynamics 365 and ERPdevelopment

• Complete a structured nine-month training programme coveringrelevant Microsoft Dynamics 365 modules, with a focus on Finance and Supply Chain Management.
• Develop a practical understanding of how ERP systems support corebusiness processes, including financial operations, purchasing, inventorymanagement and supply chain activities.
• Apply your learning to real business scenarios, supporting systemconfiguration, testing and implementation activities.
• Assist with investigating system issues, analysing requirements andidentifying opportunities to improve existing processes.
• Build knowledge of how different business functions, systems anddata sets connect across an integrated technology environment.

3. Data management and productthinking

• Support the management, validation, mapping and migration of dataas new brands are onboarded.
• Help ensure data is accurate, consistent and structuredappropriately for use across our ERP and related systems.
• Analyse data and business processes to identify gaps,inefficiencies and opportunities for improvement.
• Translate business requirements into clear technical tasks and workwith relevant stakeholders to support their delivery.
• Develop a product-oriented mindset, understanding user needs,defining problems and helping to deliver technology solutions that createmeasurable business value.

4. AI, automation and innovation

• Following the initial nine-month training period, becomeincreasingly involved in exploring and implementing AI-enabled solutionsacross the business.
• Identify opportunities to use AI, automation and data-driven toolsto improve operational efficiency and decision-making.
• Support the evaluation, testing and rollout of new technologysolutions, assessing their practical value to the business.
• Work with business stakeholders and technology partners toinvestigate emerging technologies and translate promising ideas intopractical applications.
• Help establish a strong understanding of how high-quality data andwell-integrated systems provide the foundation for effective AI adoption.

5. Collaboration and continuousimprovement

• Build effective working relationships with colleagues acrosstechnology, finance, supply chain and other business functions.
• Work closely with our external agency partner during training andsubsequent implementation projects.
• Document system configurations, processes, requirements andsolutions to support consistency and knowledge sharing.
• Take ownership of your learning, seek feedback and continuouslydevelop your technical and commercial understanding.
• Contribute ideas, challenge existing processes constructively andhelp the business make better use of technology and data.

Key Skills & Experience:

• Relevant degree: A degree in Computer Science,Software Engineering, Data Science, Information Systems, Mathematics,Engineering or another quantitative, data-driven or technology-focused discipline.
• Technical aptitude: A natural interest in howsystems, software, databases and technology work, with the ability tounderstand technical concepts and apply them to practical problems.
• Analytical thinking: A logical, structured approachto problem-solving, with the ability to interpret data, identify patterns andbreak complex problems into manageable steps.
• Interest in ERP and enterprise technology: Agenuine desire to understand how enterprise resource planning systems connectbusiness processes, data and technology.
• Interest in data product management: An enthusiasmfor understanding business needs, improving data-driven products and helpingtranslate requirements into effective technology solutions.
• Learning agility: The motivation and ability tolearn new systems, tools and concepts quickly, particularly in a structuredtraining environment.
• Attention to detail: A methodical approach toworking with data, system configurations and processes, where accuracy andconsistency are essential.
• Communication and collaboration: The ability toexplain ideas clearly, ask thoughtful questions and work effectively with bothtechnical and non-technical colleagues.
• Proactive mindset: A willingness to takeinitiative, investigate problems, seek solutions and take responsibility forpersonal development.

Desirable Attributes:

• Someexperience with programming, SQL, databases, data analysis, APIs or systemsintegration through university projects, internships or personal projects.
• Familiaritywith tools such as Excel, Power BI, Python or other data and analyticstechnologies.
• An interest inAI, machine learning, automation or emerging business technologies.
• An understanding of software development, testing, requirements gathering orproject delivery.
• An interest in the fashion industry and the operational challengesinvolved in managing multiple brands, products, inventory and supply chains.

Compensation: Competitive salary

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