Data Platform Service Manager

New Look; Weymouth; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Training and development opportunities

Flexible work patterns

Inclusive culture

Job summary

A leading fashion retailer in Weymouth is seeking a mid-senior level Data Services Manager to oversee the Data Platform Service Management function. Key responsibilities include managing SLAs, optimizing cloud spend, and ensuring compliance with security standards. Ideal candidates will have a strong understanding of Azure operations and experience with Databricks and Power BI. The company champions inclusion, development, and flexible working patterns.

Qualifications

• Solid understanding of Azure cloud operations and enterprise data platforms.
• Experience managing SLAs, FinOps, and supplier contracts.
• Familiarity with Databricks, Power BI, and Amperity support models.

Responsibilities

• Lead the Data Platform Service Management function and co-ordinate on-call across teams.
• Define and monitor SLAs, KPIs, and service metrics.
• Ensure platform operations align with security and compliance standards.

Skills

Azure cloud operations

SLA management

FinOps

Databricks

Power BI

Supplier contract management

ITIL knowledge

Education

Degree in IT or related business topic

Tools

Databricks

Power BI

Amperity

Job description

Overview

New Look Weymouth, England, United Kingdom. We’re the feel-good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK. By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each other.

New Look is operating a modern Enterprise Data Platform stack — including a Databricks-based lakehouse architecture, Amperity for Customer Data Platform (CDP) enrichment, Power BI for enterprise analytics with InfoRiver writeback extension and SAP Business Objects for self-service reporting.

Responsibilities

• Lead the Data Platform Service Management function, including co-ordinating on-call across the service and engineering teams.
• Define and monitor SLAs, KPIs, and service metrics.
• Oversee incident, problem, and change management processes.
• Manage platform upgrades, patching, and service continuity.
• Own vendor support and escalation processes.
• Ensure platform operations align with security and compliance standards.
• Collaborate with engineering leads to manage deployment pipelines and platform automation.
• Lead FinOps management practices to monitor, optimise, and report on cloud and platform spend.
• Own supplier and support contract relationships, renewals, and performance monitoring.
• Shape and scale the support model to cater for increasing platform complexity, including 24/7 support readiness for industrialised data science, AI solutions, and operational data products.

Note: Additional hours and on-call as required to fulfil duties.

Qualifications

• Solid understanding of Azure cloud operations and enterprise data platforms.
• Experience managing SLAs, FinOps, and supplier contracts.
• Familiarity with Databricks, Power BI, and Amperity support models.
• Knowledge of ITIL or other service frameworks.
• Proven capability in scaling service support to meet critical operational needs.
• A degree in IT or related business topic (desirable)

Why New Look?

We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We’re proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values.

We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals.

We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we\'re keen to discuss this with you in line with the output needed for the role.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Retail and Retail Apparel and Fashion

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