Data Lead, Keyrus
+ Discretionary Bonus Scheme
AI-driven toolkit for data analytics
Job no longer available
AI-driven toolkit for data analytics
1001+ employees
Job no longer available
+ Discretionary Bonus Scheme
1001+ employees
Company mission
Keyrus's mission is to "make data matter".
Role
Who you are
- The ideal candidate will have strong leadership, project management, and communication skills, with technical expertise in data platforms and integration
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Management, or a related field
- Extensive experience in solution architecture, data platforms, data integration, metadata management, data governance, data modeling, and data engineering
- Technical expertise in OCI PaaS and SaaS data services
- Proven track record in leading and managing data enablement projects and team
- Excellent verbal and written communication skills
- Strong ability to manage stakeholder communications and provide clear, concise status updates
- Ability to effectively communicate technical concepts to both technical and non-technical stakeholders
- Availability to do international business travel on a regular basis
What the job involves
- The Data Lead is responsible for leading, organizing, prioritizing, and ensuring the delivery of the squad
- This role involves planning and organizing squad work, managing stakeholder communications, reporting status, risks, issues, and dependencies, and acting as the primary point of contact between all the stakeholders
- Lead, organize, prioritize, and assure the delivery of the Data Enablement Squad, ensuring alignment with the strategic and tactical objectives
- Assume full responsibility for planning and organizing all Data Enablement Squad work to ensure timely delivery of milestones and objectives
- Act as the lead in the resolution of any issues that arise during project execution
- Manage all stakeholder communications, providing regular status updates, and reporting on risks, issues, and dependencies
- Act as the primary point of contact between the all the stakeholders of the project
Salary benchmarks
Our take
Data is an invaluable resource to modern businesses, empowering actionable insights that can significantly optimize business operations. However, the massive quantities of data that must be analyzed to achieve such insights can be problematic to work with, requiring vast teams of data engineers and analytic infrastructure.
Keyrus provides a 'playbook' suite of AI-driven data analytics tools, helping businesses maximize their data’s value without the need for large-scale data engineering teams. The company's tools primarily focus on optimizing user experiences across software and web products on any platform and offering data-driven tools for cloud-based technology, cybersecurity, and overall business digitization, transformation, and innovation.
Whilst the company will face competition from startups producing specialized AI-driven tools for businesses, Keyrus shows excellent potential to compete due to its unified approach to applying AI to data analysis. Through this approach, the company aims to empower businesses to maximize the potential of their data with unfragmented white-label tools and consultancy, future-proofing their operations without the need for unaffordable data engineering hires.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Company benefits
- Access to our KLX platform with + 10.000 pieces of training
- Informal work environment where you get coached by experts and receive support to help you in your professional and personal growth
- Pension scheme
- Private medical insurance
- Annual bonus
- The chance to work with different technologies
- Be part of a company that wants to have an impact on the (digital) future
- An international, start-up mindset community of experts spread across 18 countries
Company HQ
Levallois-Perret, France
Leadership
Bruno Dehouck
(Managing Director)Experience as Manager of KPMG from 2002 to 2004. Associate for KERTIOS from 2004 to 2008.
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