AI, Data & Analytics Manager

Crew Clothing; Kingston upon Thames; On-site; GBP 50,000 - 70,000; Full time

Job summary

A British retail brand is seeking an AI, Data & Analytics Lead in Kingston to spearhead data integration and reporting needs. The role involves developing a comprehensive data analytics roadmap, overseeing various reporting platforms, and enhancing data-driven decision-making across the company. Candidates should have at least five years of relevant experience and strong communication skills to translate business needs into reporting activities.

Qualifications

• At least five years integration, middleware and reporting experience in a retail environment.
• Demonstrable engineer-level knowledge of at least some of the middleware, integration and reporting systems in use at the company.
• Experience developing and implementing data, data governance, security, privacy and lifecycle management initiatives and standards.

Responsibilities

• Develop and execute Crew's data and analytics roadmap.
• Be the technical SME and lead engineer on data and reporting platforms.
• Architect data platforms and secure integrations.
• Own relationships with integration and reporting partners.

Skills

Integration experience in a retail environment

Middleware and reporting systems

Data governance and security

Dashboard and KPI development

Customer-facing communication

Tools

Azure SQL

PowerBI

AWS Redshift

Job description

AI, Data & Analytics Lead

Full-Time

Kingston

Crew Clothing Company was founded in Salcombe in 1993. Today Crew is a great British brand, and our success lies in our authentic passion for producing great looking, well-made clothes. We now have more than 70 stores and a thriving website, and the business continues to grow.

Our people are at the heart of our company. 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.

Purpose of the role:

The AI, Data and Analytics lead will take a hands-on approach to the definition and implementation of Crew's data integration and reporting needs. Crew is a group of retail brands including Pringle, Salt Rock and Ben Sherman. We are in the process of consolidating ERP, EPOS, WMS, ecommerce (and other) platforms and, as such, there are a multitude of reporting suites, databases and middleware platforms. The data and analytics lead will spearhead the consolidation of data and reporting and dashboarding tools.

Responsibilities:

• Develop and execute Crew's data and analytics roadmap in alignment with business objectives.
• Be the technical SME and lead engineer on a multitude of data and reporting platforms, including but not limited to Azure SQL, SQL server, PowerBI, ZapBI, Azure Synapse, AWS Redshift and similar technologies.
• Develop database queries in a variety of platforms to extract, populate and analyse statistics - sometimes using very large datasets.
• Architect data platforms and work with partners to implement appropriate data integrations and data warehousing.
• Produce, amend and recommend business reports & dashboards etc relevant to a retailer and on demand.
• Own the relationship with middleware, integration, reporting and other relevant partners, ensuring high quality output and value for money.
• Work with the IT director and others on defining and implementing a company AI adoption roadmap.
• Transform and populate data between disparate systems, ensuring high quality and accuracy at all times.

Deliverables:

• A reliable, accurate and performant set of reporting and dashboards.
• Reliable middleware and data warehousing, monitored by exception.
• IT and business teams trained in supporting and using relevant reporting tools.
• Accurate and timely delivery of sales order (etc) data between front-end platforms such as Shopify and back-end systems such as 3PL WMS.
• Foster data-driven decision-making culture across the company.

Key Skills & Experience:

Essential skills:

• At least five years integration, middleware and reporting experience in a retail environment.
• Demonstrable engineer-level knowledge of at least some of the middleware, integration and reporting systems in use at the company.
• Experience developing and implementing data, data governance, security, privacy and lifecycle management initiatives and standards.
• Ability to oversee the development of dashboards, KPI tracking and self-service BI tools to empower business users.
• Customer-facing communication skills, able to translate business reporting need into development activities whether on in house or partner platforms.