At a Glance
- Tasks: Lead Data Operations in a dynamic insurance company, ensuring data platforms are reliable and scalable.
- Company: Join one of the UK's most innovative insurance brands focused on data-driven experiences.
- Benefits: Earn up to £75,000 with an outstanding benefits package and hybrid working options.
- Other info: Opportunity for career growth in a fast-paced, collaborative environment.
- Why this job: Make a real impact by overseeing critical data operations and driving innovation.
- Qualifications: Experience in Data Operations and managing technical teams in regulated industries.
The predicted salary is between 45000 - 55000 £ per year.
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 and 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.
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
THE BENEFITS: You will receive a competitive salary up to £75,000 depending on experience, alongside an outstanding benefits package.
Dataops Manager in London employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Dataops Manager in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham.
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We think you need these skills to ace Dataops Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harnham!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
