<div><b>Graduate Product Manager - ERP, Data &amp; AI<br>Kingston-on-Thames (4 days in office, 1 day from home)<br>Full-Time (37.5 hours)&nbsp;</b><br><br><p><span>Crew Clothing

Company was founded in Salcombe in 1993.&nbsp; Today Crew is a great British

brand, and our success lies in our authentic passion for producing great

looking, well-made clothes.&nbsp; We now have more than 135 stores and a

thriving website, and the business continues to grow.</span></p>

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<p><span>Our people are

at the heart of our company.&nbsp; With a passion for exceptional service, and

a love for our product, our team is dedicated to offering the best customer

experience – nothing is too much trouble.<br><br><b>About the Role:&nbsp;</b><br></span></p><p><span>We are looking

for a technically minded, data-driven graduate to join our team as a <b>Graduate

Product Manager</b>, helping to shape the technology and data capabilities that

support our growing fashion business.</span></p><p><span>Our business is

moving to Microsoft Dynamics 365 (D365) as its in-house Enterprise Resource

Planning (ERP) system. As we onboard new brands, we need to ensure their

systems, processes and data integrate effectively with our existing

infrastructure. You will play an important role in making this happen, helping

to build, configure and set up the systems and data flows that enable new

brands to operate seamlessly within our business.</span></p><p><span>This is an

exciting opportunity for a graduate with a degree in a data-driven,

technology-based, computer science or engineering discipline who wants to

develop a career at the intersection of technology, business systems, data and

product management.</span></p><p><span>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 be

applied to improve business processes, decision-making and operational

efficiency.</span></p><p>

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<span></span></p><p><b><span>You do not

need previous ERP experience.</span></b><span> 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 to

learn.<br><br><b>Responsibilities:</b><br></span></p><p><b><span>1. Brand onboarding and systems

integration</span></b></p><ul>

 <li><span>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.</span></li>

 <li><span>Assist with the build, configuration and setup activities required

     to bring new brands onto our systems.</span></li>

 <li><span>Help map existing brand processes, data structures and system

     requirements to our in-house operating model.</span></li>

 <li><span>Support the identification of integration requirements, data

     dependencies and potential system issues.</span></li>

 <li><span>Work with internal teams and external technology partners to help

     deliver successful, efficient and repeatable onboarding projects.</span></li></ul><p><b><span>2. Microsoft Dynamics 365 and ERP

development</span></b></p><ul>

 <li><span>Complete a structured nine-month training programme covering

     relevant Microsoft Dynamics 365 modules, with a focus on Finance and

     Supply Chain Management.</span></li>

 <li><span>Develop a practical understanding of how ERP systems support core

     business processes, including financial operations, purchasing, inventory

     management and supply chain activities.</span></li>

 <li><span>Apply your learning to real business scenarios, supporting system

     configuration, testing and implementation activities.</span></li>

 <li><span>Assist with investigating system issues, analysing requirements and

     identifying opportunities to improve existing processes.</span></li>

 <li><span>Build knowledge of how different business functions, systems and

     data sets connect across an integrated technology environment.</span></li></ul><p><b><span>3. Data management and product

thinking</span></b></p><ul>

 <li><span>Support the management, validation, mapping and migration of data

     as new brands are onboarded.</span></li>

 <li><span>Help ensure data is accurate, consistent and structured

     appropriately for use across our ERP and related systems.</span></li>

 <li><span>Analyse data and business processes to identify gaps,

     inefficiencies and opportunities for improvement.</span></li>

 <li><span>Translate business requirements into clear technical tasks and work

     with relevant stakeholders to support their delivery.</span></li>

 <li><span>Develop a product-oriented mindset, understanding user needs,

     defining problems and helping to deliver technology solutions that create

     measurable business value.</span></li></ul><p><b><span>4. AI, automation and innovation</span></b></p><ul>

 <li><span>Following the initial nine-month training period, become

     increasingly involved in exploring and implementing AI-enabled solutions

     across the business.</span></li>

 <li><span>Identify opportunities to use AI, automation and data-driven tools

     to improve operational efficiency and decision-making.</span></li>

 <li><span>Support the evaluation, testing and rollout of new technology

     solutions, assessing their practical value to the business.</span></li>

 <li><span>Work with business stakeholders and technology partners to

     investigate emerging technologies and translate promising ideas into

     practical applications.</span></li>

 <li><span>Help establish a strong understanding of how high-quality data and

     well-integrated systems provide the foundation for effective AI adoption.</span></li></ul><p><b><span>5. Collaboration and continuous

improvement</span></b></p><p>

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 <li><span>Build effective working relationships with colleagues across

     technology, finance, supply chain and other business functions.</span></li>

 <li><span>Work closely with our external agency partner during training and

     subsequent implementation projects.</span></li>

 <li><span>Document system configurations, processes, requirements and

     solutions to support consistency and knowledge sharing.</span></li>

 <li><span>Take ownership of your learning, seek feedback and continuously

     develop your technical and commercial understanding.</span></li>

 <li><span>Contribute ideas, challenge existing processes constructively and

     help the business make better use of technology and data.</span></li>

</ul><b>Key Skills &amp; Experience:<br></b><br><ul><li><span>Relevant degree: A degree in Computer Science,

Software Engineering, Data Science, Information Systems, Mathematics,

Engineering or another quantitative, data-driven or technology-focused

discipline.</span></li><li><span>Technical aptitude: A natural interest in how

systems, software, databases and technology work, with the ability to

understand technical concepts and apply them to practical problems.</span></li><li><span>Analytical thinking: A logical, structured approach

to problem-solving, with the ability to interpret data, identify patterns and

break complex problems into manageable steps.</span></li><li><span>Interest in ERP and enterprise technology: A

genuine desire to understand how enterprise resource planning systems connect

business processes, data and technology.</span></li><li><span>Interest in data product management: An enthusiasm

for understanding business needs, improving data-driven products and helping

translate requirements into effective technology solutions.</span></li><li><span>Learning agility: The motivation and ability to

learn new systems, tools and concepts quickly, particularly in a structured

training environment.</span></li><li><span>Attention to detail: A methodical approach to

working with data, system configurations and processes, where accuracy and

consistency are essential.</span></li><li><span>Communication and collaboration: The ability to

explain ideas clearly, ask thoughtful questions and work effectively with both

technical and non-technical colleagues.</span></li><li><span>Proactive mindset: A willingness to take

initiative, investigate problems, seek solutions and take responsibility for

personal development.</span></li></ul><b>Desirable Attributes:</b><br><ul><li><span>Some

experience with programming, SQL, databases, data analysis, APIs or systems

integration through university projects, internships or personal projects.</span></li><li><span>Familiarity

with tools such as Excel, Power BI, Python or other data and analytics

technologies.</span></li><li><span>An interest in

AI, machine learning, automation or emerging business technologies.</span></li><li><span>An

understanding of software development, testing, requirements gathering or

project delivery.</span></li><li><span>An interest in the fashion industry and the operational challenges

involved in managing multiple brands, products, inventory and supply chains.</span></li></ul><b><br><br></b></div>