At a Glance
- Tasks: Lead the automation and optimisation of data operations for a dynamic marketing company.
- Company: Growing marketing company in London offering hybrid work options.
- Benefits: Up to £75,000 salary, bonus, and flexible working arrangements.
- Other info: Fast-paced environment with opportunities for growth and innovation.
- Why this job: Make a real impact by streamlining data processes and championing AI technologies.
- Qualifications: Experience in data operations with strong SQL and project management skills.
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 employer: Broadstone Resourcing
Join a dynamic marketing company in London that champions innovation and employee growth, offering a hybrid work model that promotes work-life balance. As a Senior Data Operations Manager, you'll thrive in a collaborative environment where your expertise will drive the automation and optimisation of data processes, while enjoying competitive compensation, bonuses, and opportunities to lead transformative projects. With a focus on continuous improvement and the adoption of cutting-edge technologies, this role is perfect for those looking to make a meaningful impact in a fast-paced, high-growth setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Operations Manager
✨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
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 what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our team. Share specific examples of how you've automated processes or improved data quality in previous roles. We love a good story!
Show Off Your Technical Skills:Since this role requires strong SQL and Excel skills, don’t shy away from showcasing these in your application. Mention any tools you’ve used like Jira or Asana, and how they helped you manage projects effectively. We’re keen to see your technical prowess!
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 get all the updates about your application status. Plus, it’s super easy!
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 data extraction, validation, and transformation. Highlight specific examples where you've improved processes or resolved complex data issues.
✨Showcase Your Project Management Skills
Prepare to talk about your experience managing technical workstreams. Use tools like Jira or Asana as examples of how you've kept projects on track. Be ready to explain how you gather requirements and ensure timely delivery.
✨Communicate Clearly and Confidently
Since you'll be translating technical concepts for non-technical stakeholders, practice explaining your past projects in simple terms. This will demonstrate your excellent communication skills and ability to collaborate across teams.
✨Embrace the Future with AI
Familiarise yourself with emerging technologies and how they can enhance data operations. Be prepared to discuss any ideas you have for implementing AI or other tech solutions to improve efficiency and accuracy in data processes.
