At a Glance
- Tasks: Lead data governance initiatives and ensure data quality across the organisation.
- Company: Join Springer Nature, a leader in data-driven transformation and innovation.
- Benefits: Enjoy flexible working, remote options, and 10% of your time for personal projects.
- Why this job: Be part of a friendly team driving meaningful change in data management.
- Qualifications: Strong analytical and problem-solving skills; familiarity with data governance is a plus.
- Other info: Work from London, Berlin, or Heidelberg with occasional travel to global offices.
The predicted salary is between 43200 - 72000 £ per year.
About Us
We’re looking for a Data Governor to join SN Data – Data Competence Centre within Springer Nature Operations. You would be joining a transformation programme to drive sustained change in how Springer Nature understands, manages, and uses its data: building up data capabilities to create a foundation, adding value to cross-organisation initiatives and data-driven transformation. The Data Governor plays a crucial role in ensuring that Springer Nature’s data is ready for now and the future. The role is reporting to the Director of Data Management and can be based in London (UK), Berlin (Germany) or in Heidelberg (Germany). There will be travel at times with colleagues in many of our global offices. We are an equal opportunities employer. We work in a relaxed, friendly environment and offer the flexibility to work from home 3 days a week. We are committed to growing and nurturing our people for the long-term. We spend 10% of our time working on our own projects to promote learning and innovation.
About You
You are a proactive, curious person who brings people together to solve complex problems. You are willing to probe, question and investigate difficulties as they arise. You will have:
- Good analytical skills to understand and interpret complex data and gain actionable insights.
- Strong problem-solving skills, which are crucial for recognising and solving data-related tasks.
- Effective leadership, interpersonal and communication skills to bring together both business and technical stakeholders to ensure seamless collaboration with teams across the organisation.
- Good influencing skills and continuously champion new ways to use data effectively.
- Adaptability and Continuous Learning - because we are in a data transformation programme.
- An existing track record of delivering change in a complex organizational environment with multiple stakeholders.
- A demonstrable list of improvements for which you have been responsible.
Additionally, you might have some or all of:
- Familiarity with data privacy regulations (e.g., GDPR, CCPA).
- Knowledge of data governance frameworks.
- Proficiency in data governance tools and technologies.
Key tasks:
- Data Governance: Work with the SN Data leadership team to define data ownership, stewardship, and governance roles and responsibilities to support good data governance across the organisation. Being an advocate for good Data Governance, identifying and addressing data-related issues, collaborating with Data Owners and Data Stewards across the Data Supply Chains and facilitating communication between project teams and stakeholders regarding data governance. Leverage data governance tools and technologies to automate and enhance data governance processes. Work with key stakeholders to ensure that data governance tools are properly integrated with existing systems and processes.
- Policy and Standards Creation: Work with data owners and data stewards to identify, document, and implement policies and standards to ensure that data meets the needs of the business and supports strategic objectives. Facilitate the creation and enforcement of data standards to ensure data quality is maintained at the required levels. Ensure that good data management practices are developed and implemented to mitigate risks and comply with legal, regulatory, and internal policies. Work with data owners to establish policies and procedures for data retention, deletion, and archiving across the lifecycle of the data in accordance with governance policies.
- Data Quality Management: Working with data owners and data stewards to establish data quality standards and KPIs for their data. Facilitate the reporting and publishing of data quality metrics. Work with data owners and data stewards to identify, raise awareness and champion data quality improvements.
- Training and support: Educate staff on the importance of data management and maintaining good quality data within their data domain. Work with data owners and data stewards to understand the training needs within the data supply chain and facilitate the delivery.
- Communication: Collaborate with subject matter experts across the Data Supply Chain to develop and maintain a holistic view of the data. Regularly report on the status of data governance initiatives to senior management.
Data Governor employer: Springer Nature
Contact Detail:
Springer Nature Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governor
✨Tip Number 1
Familiarise yourself with data governance frameworks and tools. Understanding these concepts will not only help you in interviews but also demonstrate your commitment to the role and its responsibilities.
✨Tip Number 2
Network with professionals in the data governance field. Attend relevant webinars or local meetups to connect with others who work in similar roles, as they can provide insights and potentially refer you to opportunities.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've tackled complex data-related challenges in the past. Be ready to discuss these scenarios during any informal conversations or networking events.
✨Tip Number 4
Stay updated on data privacy regulations like GDPR and CCPA. Being knowledgeable about these laws will not only enhance your profile but also show that you understand the importance of compliance in data governance.
We think you need these skills to ace Data Governor
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Governor role. Focus on your analytical skills, problem-solving abilities, and any experience with data governance frameworks or tools.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your proactive nature and ability to collaborate with diverse stakeholders make you a great fit for the position.
Showcase Relevant Achievements: Include specific examples of past projects where you successfully delivered change in a complex environment. Highlight any improvements you've made in data management or governance that demonstrate your capability.
Research Springer Nature: Familiarise yourself with Springer Nature's mission and values. Understanding their approach to data governance and transformation will help you tailor your application and show genuine interest in the company.
How to prepare for a job interview at Springer Nature
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've successfully interpreted complex data and derived actionable insights. Highlight your analytical skills by explaining how you approached these challenges and the impact of your solutions.
✨Demonstrate Problem-Solving Abilities
Be ready to share instances where you've identified and resolved data-related issues. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your strong problem-solving skills.
✨Highlight Leadership and Communication Skills
Since the role involves collaboration with various stakeholders, prepare to discuss how you've effectively led teams or projects. Emphasise your interpersonal skills and provide examples of how you've facilitated communication between technical and business teams.
✨Familiarity with Data Governance
Brush up on your knowledge of data governance frameworks and tools. Be prepared to discuss any experience you have with data privacy regulations like GDPR or CCPA, as well as how you've implemented data standards in previous roles.