Data Operations Manager

Harnham; Greater London; Hybrid; GBP 39,000 - 65,000; Full time

Job summary

Harnham in London is seeking a Data Operations Manager to lead technical data processing, automation and AI-driven initiatives across the organisation. This highly visible role positions you as the go-to expert for data operations, collaborating with research, technology and operational teams to solve complex challenges, automate workflows and build scalable data and reporting solutions.

You’ll manage large, complex datasets and act as a trusted technical advisor to both technical and

Qualifications

• Strong hands-on experience with SPSS.
• Experience using Python and scripting to automate processes.
• Proven experience applying AI tools to solve business problems.
• Strong background in data processing and workflow optimisation.
• Experience working with large and complex datasets.
• Excellent stakeholder management and communication skills.
• Comfortable working autonomously and taking ownership of technical initiatives.

Responsibilities

• Lead data processing and technical delivery across research projects.
• Automate workflows using Python, scripting and AI tools.
• Improve and optimise SPSS-based processes.
• Build scalable solutions for recurring data and reporting challenges.
• Support the development of AI-enabled products and services.
• Manage large, complex datasets and ensure efficient data operations.
• Act as a trusted technical advisor to both technical and non-technical stakeholders.

Skills

SPSS

Python

AI tools

Data processing

Workflow optimisation

Large datasets

Stakeholder management

Communication

Tools

Python

Job description

London (Hybrid | 2 Days Per Week)
Up to £65,000 + Benefits

We're partnering with an innovative insights and research business looking for a Data Operations Manager to lead technical data processing, automation and AI-driven initiatives across the organisation.

This is a highly visible role where you'll act as the go-to expert for data operations, helping research teams solve complex technical challenges, automate manual processes and build scalable solutions that improve efficiency across the business.

The Role

Data Operations Manager

London (Hybrid | 2 Days Per Week)
Up to £65,000 + Benefits

We're partnering with an innovative insights and research business looking for a Data Operations Manager to lead technical data processing, automation and AI-driven initiatives across the organisation.

This is a highly visible role where you'll act as the go-to expert for data operations, helping research teams solve complex technical challenges, automate manual processes and build scalable solutions that improve efficiency across the business.

You’ll work closely with research, technology and operational teams to:

• Lead data processing and technical delivery across research projects
• Automate workflows using Python, scripting and AI tools
• Improve and optimise SPSS-based processes
• Build scalable solutions for recurring data and reporting challenges
• Support the development of AI-enabled products and services
• Manage large, complex datasets and ensure efficient data operations
• Act as a trusted technical advisor to both technical and non-technical stakeholders

What We're Looking For

• Strong hands-on experience with SPSS
• Experience using Python and scripting to automate processes
• Proven experience applying AI tools to solve business problems
• Strong background in data processing and workflow optimisation
• Experience working with large and complex datasets
• Excellent stakeholder management and communication skills
• Comfortable working autonomously and taking ownership of technical initiatives

Nice to Have

• Research agency or market research experience
• Survey scripting experience
• Software development or programming background
• Experience automating reporting, dashboards or presentation outputs

Why Apply?

• Significant autonomy and ownership
• Opportunity to shape innovation and technical strategy
• High visibility and impact across the business
• Collaborative, forward-thinking culture
• Chance to experiment with new technologies and AI solutions
• Work closely with senior stakeholders and business leaders

This opportunity would suit an experienced data professional who enjoys solving complex problems, building automation solutions and driving technical innovation within a growing organisation.