Digital Product Manager

Location: Royal Borough of Kingston upon Thames

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 customer experience – nothing is too much trouble.

About the Role:

We are looking for a technically minded, data-driven graduate to join our team as a Graduate Product Manager
, helping to shape the technology and data capabilities that support our growing fashion business.

Our business ismoving to Microsoft Dynamics 365 (D365) as its in-house Enterprise Resource Planning (ERP) system. As we onboard new brands, we need to ensure theirsystems, processes and data integrate effectively with our existing infrastructure. 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 an exciting 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 and product management.

You will initially undertake a structured nine-month training programme delivered in partnership with our specialist agency partner, developing your knowledge of Microsoft Dynamics 365, with a particular focus on Finance and Supply Chain Management. Following this training, you will take on increasing responsibility for technology and data initiatives, with a growing focus on how AI can beapplied to improve business processes, decision-making and operational efficiency.

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

Responsibilities:
1. Brand onboarding and systems integration

• 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 required to bring new brands onto our systems.
• Help map existing brand processes, data structures and system requirements to our in-house operating model.
• Support the identification of integration requirements, data dependencies and potential system issues.
• Work with internal teams and external technology partners to help deliver 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 core business processes, including financial operations, purchasing, inventory management and supply chain activities.
• Apply your learning to real business scenarios, supporting system configuration, testing and implementation activities.
• Assist with investigating system issues, analysing requirements and identifying 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 product thinking

• 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 solutions across 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 technology solutions, assessing their practical value to the business.
• Work with business stakeholders and technology partners to investigate emerging technologies and translate promising…