Data Operations Manager

Harnham; Greater London; Hybrid; GBP 42,000 - 55,000; Full time

Job summary

Harnham is seeking a Data Operations Manager in London with hybrid working. You will oversee delivery across quantitative research and data programmes, scripting surveys, processing data, and automating workflows.

You will design and maintain tools, manage priorities, and mitigate risks while communicating complex technical issues clearly to stakeholders. The role emphasizes quality assurance, governance, and continuous improvement of operational frameworks, leveraging automation and modern data

Qualifications

• Strong experience within market research, research operations, data processing, or a similar environment.
• Hands-on survey scripting experience using platforms such as Decipher, Qualtrics, Forsta, Dimensions, or equivalent.
• Experience managing quantitative data workflows and reporting outputs.
• Strong data cleaning, transformation, and data management capabilities.
• Knowledge of automation workflows, APIs, and process optimisation.
• Exposure to tools such as SPSS, Q, DisplayR, or similar analytical platforms.
• Excellent stakeholder management and communication skills.
• Commercial awareness and the ability to balance quality, timelines, and operational efficiency.
• Experience with Python, SQL, JavaScript, or other automation technologies is highly desirable.

Responsibilities

• Delivering survey scripting, data processing, reporting operations, and workflow automation.
• Designing, maintaining, and improving operational tools and automated processes.
• Managing delivery priorities and resource allocation across multiple projects.
• Identifying and mitigating delivery risks before they impact project outcomes.
• Implementing and strengthening quality assurance and governance processes.
• Acting as an escalation point for complex technical delivery challenges.
• Working closely with stakeholders to communicate technical issues in a clear and commercially focused way.
• Supporting the continuous improvement of operational frameworks, automation, and delivery standards.

Skills

Market research

Research operations

Survey scripting

Data workflows

Automation knowledge

APIs familiarity

Python/SQL/JS

Stakeholder management

Quality governance

Tools

Decipher

Qualtrics

Forsta

Dimensions

SPSS

DisplayR

Job description

Data Operations Manager

London (Hybrid) | Up to £55,000 + Benefits

The Company

They are a well-established and fast-growing insights organisation with an international presence and a strong reputation for delivering high-quality data-driven projects. Their teams combine research expertise, technology, and operational excellence to help clients make informed business decisions. With significant investment in automation and modern data infrastructure, they offer an environment where innovation and continuous improvement are actively encouraged.

The Role

You will be responsible for managing and improving operational delivery across a range of quantitative research and data programmes.

Key responsibilities include:

• Delivering survey scripting, data processing, reporting operations, and workflow automation
• Designing, maintaining, and improving operational tools and automated processes
• Managing delivery priorities and resource allocation across multiple projects
• Identifying and mitigating delivery risks before they impact project outcomes
• Implementing and strengthening quality assurance and governance processes
• Acting as an escalation point for complex technical delivery challenges
• Working closely with stakeholders to communicate technical issues in a clear and commercially focused way
• Supporting the continuous improvement of operational frameworks, automation, and delivery standards

Your Skills & Experience

• Strong experience within market research, research operations, data processing, or a similar environment
• Hands-on survey scripting experience using platforms such as Decipher, Qualtrics, Forsta, Dimensions, or equivalent
• Experience managing quantitative data workflows and reporting outputs
• Strong data cleaning, transformation, and data management capabilities
• Knowledge of automation workflows, APIs, and process optimisation
• Exposure to tools such as SPSS, Q, DisplayR, or similar analytical platforms
• Excellent stakeholder management and communication skills
• Commercial awareness and the ability to balance quality, timelines, and operational efficiency
• Experience with Python, SQL, JavaScript, or other automation technologies is highly desirable