Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data operations, automate processes, and optimise workflows for a growing marketing company.
- Company: Dynamic marketing firm in London offering hybrid work and a collaborative environment.
- Benefits: Up to £75,000 salary, bonuses, benefits, and flexible working options.
- Other info: Fast-paced environment with opportunities for growth and development.
- Why this job: Make a real impact by driving data innovation and embracing emerging technologies.
- Qualifications: Experience in data operations, strong SQL skills, and project management expertise required.
The predicted salary is between 75000 - 75000 £ per year.
My client, a growing marketing company based in London offering hybrid work (with occasional weekend work - 1 day every three weekends), is looking to hire a Senior Data Operations Manager. You will take ownership of the automation and optimisation of our data operations processes, managing the transition from manual workflows to scalable solutions. You'll scope basic technical requirements and collaborate closely with our engineering team to deliver integrations that streamline how we collect and process data.
Key responsibilities:
- Own daily revenue reporting, including data extraction, validation and transformation across multiple systems.
- Pipeline Monitoring - You’ll check that our data ingestion pipelines are running correctly and flag any issues, helping maintain the integrity of our data operations.
- Define and enforce data quality standards, implementing validation frameworks (where needed) and monitoring to ensure accuracy, completeness, and compliance.
- Serve as the primary escalation point for complex data issues, working cross-functionally with engineering, finance, and commercial teams to resolve them.
- Own the end-to-end automation of data collection and reporting processes, from scoping to delivery and iteration.
- Identify opportunities for process improvement, building business cases and driving implementation.
- Champion the adoption of AI and emerging technologies to continuously evolve how we work.
Key skills:
- Previous experience in data operations, data analysis, or a similar role, with at least 1 year in a senior or lead capacity.
- Proven ability to project manage technical workstreams, from requirements gathering through to delivery, using tools such as Jira, Asana, or similar.
- Strong SQL skills and advanced proficiency in Excel/Google Sheets (scripting, complex formulas, automation).
- Excellent communication skills, able to translate technical concepts for non-technical stakeholders and document processes clearly.
- A solid understanding of data integrity, and their importance in a performance marketing environment.
- A proactive, solutions-oriented mindset, comfortable operating with autonomy and taking ownership of outcomes.
- Comfortable in a fast-paced, high-growth environment where priorities can shift quickly.
- Familiarity with BI/reporting tools (e.g., Looker, Tableau, Google Data Studio) and data pipeline concepts.
Senior Data Operations Manager in London employer: Broadstone Resourcing
Contact Detail:
Broadstone Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Operations Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data operations. We recommend using the STAR method to structure your answers – it’ll help you shine!
✨Tip Number 3
Showcase your skills with a portfolio or case studies. If you’ve automated processes or improved data quality in past roles, share those successes to impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Operations Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Operations Manager. Highlight your experience in data operations and any relevant projects you've managed. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data operations and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your SQL prowess and Excel/Google Sheets expertise. We’re looking for someone who can handle complex data tasks, so give us examples of how you've used these skills in past roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Broadstone Resourcing
✨Know Your Data Inside Out
Make sure you brush up on your data operations knowledge. Be ready to discuss your experience with SQL, Excel, and any BI tools you've used. Prepare examples of how you've improved data processes in previous roles, as this will show your expertise and problem-solving skills.
✨Showcase Your Project Management Skills
Since the role involves managing technical workstreams, be prepared to talk about your project management experience. Use specific examples where you've led a project from start to finish, highlighting the tools you used like Jira or Asana. This will demonstrate your ability to handle complex tasks effectively.
✨Communicate Clearly and Confidently
You'll need to translate technical concepts for non-technical stakeholders, so practice explaining your past projects in simple terms. Think about how you can convey your ideas clearly and confidently, as strong communication is key in this role.
✨Embrace Change and Innovation
This company values a proactive mindset and the adoption of new technologies. Be ready to discuss how you've embraced change in your previous roles, particularly with AI or automation. Share your thoughts on emerging trends in data operations and how they could benefit the company.