At a Glance
- Tasks: Lead data governance initiatives and ensure data quality across the organisation.
- Company: Join a friendly, innovative team at Springer Nature Operations.
- Benefits: Flexible work-from-home options, professional development, and a supportive environment.
- Other info: Opportunity for continuous learning and career growth in a dynamic setting.
- Why this job: Make a real impact on data transformation in a global company.
- Qualifications: Strong analytical and problem-solving skills; experience in data governance is a plus.
The predicted salary is between 60000 - 75000 £ per year.
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 group
Springer Nature Group is an exceptional employer, offering a dynamic work environment in the heart of London with a hybrid model that promotes work-life balance. Employees benefit from a culture of collaboration and innovation, alongside ample opportunities for professional development and engagement in impactful scientific discussions, making it a rewarding place to advance your career in life and health sciences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governor
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We think you need these skills to ace Data Governor
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Springer Nature group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Springer Nature group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Springer Nature group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Springer Nature group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
