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- Tasks: Lead a diverse team to execute impactful data collections and improve General Intelligence models.
- Company: Join a global leader in data solutions with a focus on innovation and excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference by driving customer success and enhancing data collection processes.
- Qualifications: 7+ years of management experience and strong technical skills in ML data operations.
- Other info: Dynamic role with global impact and a culture that values agility and ownership.
The predicted salary is between 36000 - 60000 £ per year.
As a Data Solutions Lead Senior Manager you will oversee a diverse team of Data Collection owners across four sites in Europe. Your teams will be responsible for end to end execution of high impact data collections that drive improvement of General Intelligence models. You will drive business value by ensuring your team is working efficiently and in an agile manner, tabling new approaches for our business to improve its speed and quality. You will have the technical acumen to step in and take control of high priority or challenging collections, delighting our customers and delivering meaningful change at a global scope.
What You’ll Do:
- Manage and monitor your team's performance, creating a culture of ownership and agility in ambiguous situations.
- Bring structure to fast paced and challenging work.
- Own global program improvement initiatives for the Data Collection Excellence Organization.
- Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery.
- Monitor and optimize collection health metrics to ensure customer success.
- Drive customer adoption through providing technical value and the provision of an exemplary customer experience.
You’ll also:
- Act as an escalation point for challenging data collections, directly assisting senior level customers and your team.
- Collaborate with product and technology teams to implement effective long term solutions.
- Consolidate customer feedback and translate it into improvement initiatives.
BASIC QUALIFICATIONS
- Experience managing managers and global teams.
- 7+ years of people management experience.
- 5+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts.
- Outstanding customer communication and management skills, especially in technical consultation.
- Working knowledge of JSON, Command Line, and Python.
PREFERRED QUALIFICATIONS
- Bachelor's degree in Computer Science, Business or a related field.
- 2+ years of technical support experience, or experience in leadership or account management positions.
- Background in customer success or solution consulting.
Data Solutions Lead, Senior Manager, Data Collection Excellence in Cambridge employer: Evi Technologies Limited
Contact Detail:
Evi Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solutions Lead, Senior Manager, Data Collection Excellence in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Data Solutions Lead role. You never know who might have the inside scoop on an opening or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s data collection processes. Show us that you understand the challenges and can bring fresh ideas to the table. We love candidates who can think on their feet and offer innovative solutions!
✨Tip Number 3
Don’t just apply; engage with us! Follow our social media channels, join discussions, and share your insights on data collection excellence. This will help you stand out and show us your passion for the field.
✨Tip Number 4
Be ready to showcase your leadership skills. Prepare examples of how you've managed teams and driven improvements in previous roles. We want to see how you can create a culture of ownership and agility within our diverse teams!
We think you need these skills to ace Data Solutions Lead, Senior Manager, Data Collection Excellence in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Solutions Lead. Highlight your experience in managing teams and data operations, and don’t forget to sprinkle in some examples of how you've driven business value in previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're the perfect fit for this position. Share specific stories that showcase your leadership skills and technical acumen, especially in challenging situations.
Showcase Your Technical Skills: Since we’re looking for someone with a strong understanding of ML data operations, make sure to highlight your experience with JSON, Command Line, and Python. We want to see how you’ve used these skills to improve processes or solve problems.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Evi Technologies Limited
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data collection processes and ML workflows. Be ready to discuss specific examples from your past experience where you've successfully managed data operations or improved collection metrics.
✨Showcase Your Leadership Skills
Prepare to talk about your experience managing teams, especially in challenging situations. Think of instances where you fostered a culture of ownership and agility, and be ready to share how you influenced stakeholders across global teams.
✨Communicate Like a Pro
Since outstanding customer communication is key, practice articulating complex technical concepts in a clear and concise manner. You might be asked to explain how you would handle customer feedback or improve customer experiences, so have some strategies in mind.
✨Be Agile and Adaptable
Given the fast-paced nature of the role, be prepared to discuss how you handle ambiguity and adapt to changing priorities. Share examples of how you've implemented new approaches to improve efficiency and quality in previous roles.