At a Glance
- Tasks: Lead the implementation of Ericsson’s Data Operating Model and drive data management practices.
- Company: Join Ericsson, a global leader in technology and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with diverse innovators pushing boundaries together.
- Why this job: Shape data strategy and make a real impact on data capabilities across the enterprise.
- Qualifications: Experience in data management and strong understanding of governance frameworks.
The predicted salary is between 70000 - 90000 € per year.
About the Opportunity
Are you a data-driven leader with a passion for building strong data management foundations? We are seeking an experienced Data Management Leader to lead implementation of Ericsson’s Data Operating Model. This model will be adopted across the organization and will guide Business Areas, Market Areas, and Group Functions in making data ready for value creation — while ensuring it remains secure and compliant with all relevant regulations and standards.
In this role, you will have a unique opportunity to shape Ericsson’s data strategy and drive the development of critical data capabilities across the enterprise.
What You Will Do
- Drive the implementation and adoption of Ericsson’s Data Operating Model across Business Areas, Market Areas, and Group Functions, ensuring that defined principles, roles, and processes are embedded into day-to-day operations.
- Translate the operating model into action, guiding teams in applying frameworks for data governance, metadata, semantics, data quality, and lifecycle management.
- Collaborate with data owners, stewards, and business leaders to establish clear data accountabilities and ensure consistency in data management practices across domains.
- Operationalize governance processes, such as data issue management, data quality monitoring, and metadata stewardship, ensuring compliance with Ericsson policies and external regulations (e.g., GDPR, ISO27001).
- Lead and coordinate communities of practice for data management, driving knowledge sharing, continuous improvement, and cross-functional collaboration.
- Support capability building by defining processes, tools, and KPIs that measure adoption, maturity, and business impact of the data operating model.
- Partner with the Data Operating Model Architect to refine and evolve frameworks based on feedback, lessons learned, and business needs.
- Identify and close data capability gaps, helping teams mature in areas such as metadata management, data quality, and semantics.
- Monitor and report on progress — tracking adoption levels, governance effectiveness, and improvements in data readiness for AI and analytics use cases.
The Skills You Bring
- Proven experience in data management, ideally in a global or complex organization.
- Hands-on expertise in implementing and operationalizing data governance frameworks and operating models (e.g., DAMA, DCAM, or equivalent).
- Strong understanding of metadata management, data quality management, master and reference data, and lifecycle management principles.
- Ability to translate enterprise data strategy and compliance requirements into actionable processes and measurable outcomes.
- Experience establishing data roles and accountability structures (e.g., data owners, stewards, custodians) across distributed teams.
- Skilled in change management and stakeholder engagement, with the ability to influence across business, IT, and compliance functions.
- Practical experience with data management tools (metadata repositories, data catalogs, quality monitoring platforms) is highly desirable.
- Familiarity with data security, privacy, and ethical use standards, including GDPR and ISO27001.
- Strong program and project management capabilities to drive initiatives from design to adoption.
- Excellent communication and facilitation skills, able to bridge technical and business perspectives and promote data culture at all levels.
- A passion for making data trusted, high-quality, and AI-ready, with a continuous improvement mindset.
Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer.
Data Transformation Lead employer: the Opportunity
Ericsson is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for data-driven leaders to thrive. With a strong commitment to diversity and inclusion, employees are encouraged to share their unique perspectives, driving continuous improvement and creativity in tackling complex challenges. Located in Reading, this role offers the opportunity to shape the future of data management within a global organisation, with ample growth opportunities and a supportive environment for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Transformation Lead
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its data strategies. We want to see you shine, so practice answering common questions and think about how your experience aligns with their needs.
✨Tip Number 3
Showcase your skills! Bring examples of your past work to the interview. Whether it’s a project you led or a problem you solved, we love seeing how you’ve made an impact in previous roles.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can go a long way. It shows your enthusiasm and keeps you fresh in their minds. And remember, apply through our website for the best chance!
We think you need these skills to ace Data Transformation Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data management and governance frameworks. We want to see how your skills align with the role of Data Transformation Lead, so don’t hold back!
Showcase Your Achievements:When detailing your past roles, focus on specific achievements that demonstrate your ability to implement data strategies and drive change. Use metrics where possible to show the impact of your work — we love numbers!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant to the role. We appreciate clarity, and it helps us understand your qualifications better.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at the Opportunity
✨Know Your Data Governance Frameworks
Make sure you’re well-versed in data governance frameworks like DAMA or DCAM. Be ready to discuss how you've implemented these in past roles, as this will show your hands-on expertise and understanding of the principles that guide data management.
✨Showcase Your Change Management Skills
Prepare examples of how you've successfully engaged stakeholders and driven change in data management practices. Highlight your ability to influence across different teams, as this is crucial for operationalising the Data Operating Model effectively.
✨Demonstrate Your Technical Know-How
Familiarise yourself with the data management tools mentioned in the job description. Be prepared to discuss your practical experience with metadata repositories and data quality monitoring platforms, as this will demonstrate your readiness to hit the ground running.
✨Communicate Clearly and Effectively
Practice bridging technical and business perspectives in your responses. Use clear examples to illustrate your points, as strong communication skills are essential for promoting a data culture and ensuring alignment across various functions.
