Data Operations Manager

Experis - ManpowerGroup; England; Hybrid; GBP 68,000 - 80,000; Full time

Job summary

A reputable organization in the United Kingdom is seeking a Data Operations Manager to ensure the stability and performance of enterprise data platforms. Responsibilities include leading a team, driving DataOps capabilities, and managing data services across the business. Ideal candidates will have strong SQL and Python skills, along with experience in cloud data platform management. This hybrid role offers a salary up to £80,000 plus benefits.

Qualifications

• Experience leading or managing DataOps teams.
• Proven ability to influence and negotiate effectively.
• Experience managing data platforms in cloud or hybrid environments.

Responsibilities

• Ensure reliable delivery of data products and services.
• Oversee pipeline health and maintain SLAs.
• Lead and develop a high-performing team of Data Operations Engineers.

Skills

Leadership in Data Engineering

Strong SQL

Python proficiency

Communication skills

Tools

Snowflake

DBT

Fivetran

Power BI

AWS

Azure

JIRA

ServiceNow

Job description

Data Operations Manager

Hybrid: 1-2 days per week in the office (North West)

Paying up to £80,000 + bens

Permanent

Experis are delighted to be partnering with a well-established and reputable organisation as they continue to mature and modernise their data capabilities. We are supporting them in the search for a Data Operations Manager as part of their leadership team, responsible for ensuring the stability, performance, and continual improvement of their enterprise data platforms.

This is a fantastic opportunity for someone with strong technical foundations and proven leadership experience in data engineering, data operations or data platform support. You'll shape modern DataOps practices, lead a growing team, and play a pivotal part in the organisation's data transformation journey.

What You’ll Be Doing

• Ensuring robust and reliable delivery of data products, tools, and services across the business.
• Overseeing pipeline and platform health, maintaining SLAs, and driving rapid issue resolution.
• Establishing proactive incident management processes, including monitoring, alerting, and root cause analysis.
• Leading, developing, and coaching a high-performing team of Data Operations Engineers.
• Driving modern DataOps capabilities aligned to the Group’s Data Strategy, including automation, observability, and engineering best practice.
• Acting as a technical authority on data operations, advising on monitoring, alerting, platform management, and operational standards.

Experience Required

• Leading or managing data engineering, support, or DataOps teams.
• Strong communicator, with the ability to influence and negotiate at all levels.
• Strong SQL and/or Python, with an understanding of Data Warehouse and Data Lake architectures.
• Managing data platforms in cloud (AWS/Azure) or hybrid environments
• Modern data tooling such as Snowflake, DBT, Fivetran, Power BI, MuleSoft (desirable).
• Familiarity with work management tools such as JIRA and ServiceNow (desirable)

If you’re interested in learning more, please reach out to Jacob Ferdinand at