Harnham
Dataops Manager

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Data Operations Manager
Up to £75,000 + Benefits
London (Hybrid)
This is a fantastic opportunity to join one of the UK's most innovative insurance brands, where you can take ownership of Data Operations across a large-scale, business-critical data environment supporting analytics, machine learning, engineering, and architecture teams.
The Company:
This insurance company is continuing to invest heavily in its data platforms, cloud technologies, and data-driven customer experience. They are now looking for a Data Operations Manager to take ownership and ensure the organisation's data platforms remain reliable, scalable, and compliant.
The Role:
This role is highly stakeholder-facing and focuses on operational leadership rather than hands-on engineering. You'll oversee third-party suppliers and offshore teams, manage incidents and service performance, drive governance initiatives, and ensure data products are delivered effectively across the business.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key responsibilities include:
- Leading Data Operations across a complex cloud and data ecosystem
- Managing suppliers, offshore teams, and support resources
- Driving incident management, service improvements, and SLA performance
- Ensuring environments remain scalable, compliant, and fit for purpose
- Overseeing data pipeline reliability and operational performance
- Supporting deployment, release, and change management processes
- Providing regular operational reporting and KPI tracking to senior stakeholders
- Working closely with Data Engineering, Machine Learning, and Architecture teams to ensure seamless data delivery
- Maintaining governance, audit, and regulatory compliance standards
- Supporting the migration and evolution of large-scale data platforms across GCP and AWS environments
Your Skills and Experience:
You will bring strong capability in:
- Data Operations, Data Engineering Operations, or Data Platform Management
- Leading technical teams, suppliers, and offshore resources
- Incident management, service delivery, and operational governance
- Stakeholder management across both business and technology functions
- Delivering technology and data change programmes within complex organisations
- Managing data environments, deployments, and release processes
- Building operational frameworks, reporting packs, and performance metrics
- Working within regulated industries such as Insurance, Financial Services, Healthcare, or similar
- Experience with GCP and large-scale SQL Server environments
- Exposure to Spark, Kafka, SSIS, and Power BI
- Experience supporting Machine Learning environments and data products


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The Benefits:
You will receive a competitive salary up to £75,000 depending on experience, alongside an outstanding benefits package.
How to Apply:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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