At a Glance
- Tasks: Champion data governance and support data quality across the firm.
- Company: Join Norton Rose Fulbright, a leading global law firm with a collaborative culture.
- Benefits: Flexible work model, inclusive policies, and focus on wellbeing.
- Other info: Diverse environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by ensuring trusted data is used effectively.
- Qualifications: Experience in data governance and strong communication skills required.
The predicted salary is between 60000 - 75000 £ per year.
We’re Norton Rose Fulbright - a global law firm with over 50 offices and 7,000 employees worldwide. We provide the world’s preeminent corporations and financial institutions with a full business law service. At Norton Rose Fulbright, our strategy and our culture are closely entwined. We know that our expansion will mean little unless it is underpinned by truly global collaboration and we understand that pioneering work only takes place when our people have room to move and think beyond boundaries. As well as the relevant skills and experience, we’re looking for people who are innovative, commercial and value the work that they do.
The Enterprise Data & Analytics Steward is a dedicated operational data stewardship role responsible for the day-to-day enforcement of the Data Governance Framework and for championing firm-wide data governance standards. The role provides hands-on stewardship, guidance and support to data stewards across the firm, helping to ensure that data is trusted, well-defined, compliant, and fit for purpose.
The Data & Analytics Governance function plays a critical role in supporting Norton Rose Fulbright’s strategic objectives by enabling trusted, high-quality data to be used across the firm. The team works to mature the firm’s data culture by embedding consistent governance standards, supporting data quality, and enabling stakeholders to confidently access and use data. The Enterprise Data & Analytics Steward sits within the Data Governance Centre of Excellence (CoE) and works closely with Data & Analytics colleagues, Data Protection, IT, domain data owners, and business stakeholders across the firm to ensure effective and consistent data governance practices are applied.
Key Responsibilities
- Champion data governance best practice and promote adoption across all relevant business areas, including day-to-day enforcement of the Data Governance Framework across the firm.
- Monitor and support firm-wide data quality, proactively identifying data quality issues using data observability and monitoring techniques, supporting investigation and resolution.
- Work closely with Data Protection colleagues to ensure alignment with data retention schedules and compliance requirements.
- Define, embed and support the consistent application of data governance standards, policies and processes across operational datasets.
- Work with business and technical stakeholders to document business definitions, data ownership and data stewardship responsibilities.
- Maintain and support accurate data dictionaries, metadata and data lineage to promote transparency and shared understanding of firm data assets.
- Act as a key contributor to data management and data quality activities, supporting the development and ongoing maturity of data management frameworks.
Guidance, Enablement & Community Support
- Provide guidance, coaching and practical support to Domain and Business Data Stewards across the firm.
- Support the onboarding and ongoing development of data stewards, helping them to understand their responsibilities within the governance framework.
- Collaborate with subject matter experts to create and maintain governance collateral, governance knowledge assets, standards and guidance.
Stakeholder Engagement & Communication
- Build strong working relationships with internal stakeholders to act as a primary point of contact between business and technical teams.
- Support governance forums, working groups and communities of practice.
- Provide guidance and support to business users to enable effective access to, and use of, trusted data sets.
- Support operational reporting and dashboards by promoting high-quality, consistent and well-governed data inputs.
- Support data lifecycle management activities from ingestion through to archival, in line with firm policies and applicable standards.
- Assist in ensuring compliance with relevant regulatory, data privacy and information security requirements.
- Support the maintenance of appropriate data access controls and data-sharing arrangements in line with firm policies and governance standards.
Skills and Experience Required
- Experience in a Data, Analytics or Governance Role
- Familiarity with data governance tools or data catalogues
- A strong understanding of data protection and retention principles
- Experience working in the legal industry or in professional services more generally
- Experience working with data stakeholders
- Strong Communications skills
- High attention to detail and organisational skills
- Educated to degree or equivalent level.
Diversity, Equity and Inclusion
To attract the best people, we strive to create a diverse and inclusive environment where everyone can bring their whole selves to work, have a sense of belonging, and realise their full career potential. Our new enabled work model allows our people to have more flexibility in the way they choose to work from both the office and a remote location, while continuing to deliver the highest standards of service. We offer a range of family friendly and inclusive employment policies and provide access to programmes and services aimed at nurturing our people’s health and overall wellbeing. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams. We strive to create an inclusive and accessible recruitment process for all candidates. If you require any tailored adjustments or accommodations, please let us know.
Enterprise Data & Analytics Steward employer: Dormont Manufacturing Co
At Norton Rose Fulbright, we pride ourselves on being an exceptional employer, fostering a culture of innovation and collaboration within our global team. Our commitment to employee growth is evident through our comprehensive training programmes and flexible work model, allowing you to thrive both personally and professionally. With a focus on diversity, equity, and inclusion, we create an environment where every individual can contribute meaningfully and feel valued, making us a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data & Analytics Steward
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Enterprise Data & Analytics Steward at Dormont Manufacturing Co.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.
✨Apply Directly through Our Website
When you find a suitable opening like Enterprise Data & Analytics Steward at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, 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 Dormont Manufacturing Co. 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 Dormont Manufacturing Co
✨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 Dormont Manufacturing Co!
✨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.