At a Glance
- Tasks: Oversee and improve data systems, ensuring accuracy and security across the organisation.
- Company: Join a leading firm promoting responsible production in mining and metals.
- Benefits: Remote work, flexible hours, 25 days leave, and a 5% benefits allowance.
- Other info: Opportunity for international travel and career growth in a dynamic environment.
- Why this job: Shape the future of data infrastructure while supporting sustainability initiatives globally.
- Qualifications: Experience in data management and strong analytical skills required.
The predicted salary is between 65000 - 65000 £ per year.
As mining and metals become increasingly critical to global supply chains and the energy transition, responsible production is essential to meeting growing demand sustainably. Our client works with companies across metals value chains to promote responsible production practices that support sustainable development, reduce environmental impact, and benefit local communities, customers, and consumers.
The Data Manager will be responsible for overseeing and improving the organisations data systems, ensuring data is accurate, secure, well-managed, and effectively used across the organisation.
- Implement and maintain information management policies and data management procedures
- Ensure compliance with privacy, confidentiality, retention, and security requirements
- Oversee data storage, retention, version control, and disposal processes
- Establish and monitor data quality standards across systems
- Support implementation and improvement of organisational systems, workflows, and reporting tools
- Implement data validation and quality controls for core datasets
- Support development of dashboards and reporting processes
- Coordinate external managed service providers (MSPs) to maintain system continuity and performance
- Support staff in accessing, interpreting, and using data effectively
- Assist with data extraction, reporting, and analysis for assurance, standards, and governance
- Support onboarding, training, and adoption of data systems
- Identify and implement process improvements and escalate data-related risks
- Support change management across systems, governance, and process improvements
What We're Looking For
- Demonstrable experience in data management, information governance, records management, or a related operational role
- Strong understanding of data quality principles, data lifecycle management, and information governance frameworks
- Experience working with shared data environments, SaaS platforms, workflow tools, and reporting environments
- Experience coordinating or managing data-related projects, including system implementations, integrations, migrations, or process improvements
- Experience working with internal stakeholders, external vendors, and managed service providers
- Proficiency in both Mac and PC environments
- Ability to translate policies and procedures into clear, practical guidance
- Strong analytical and problem-solving skills with excellent attention to detail
- Excellent written and verbal communication skills
- Comfortable working independently while collaborating across teams
- Highly organised, methodical, and trustworthy with a strong understanding of confidentiality and data protection
- Proactive, improvement-focused, and pragmatic in approach
What's In It For You
- 12-month fixed-term contract
- Remote working
- 35-hour work week with flexible hours
- Required overlap across Europe and North America time zones
- 25 days annual leave
- 5% additional flexible benefits allowance (health, pension, wellness, workspace, professional development, and sustainability-related benefits)
- Opportunity to lead and shape the organisations future data infrastructure
- Work aligned to responsible production and sustainability initiatives globally
- Occasional international travel as required
Whats next? Your data will be handled in line with GDPR.
Senior Manager (Head of Data Integrity) employer: Talent Finder
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StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager (Head of Data Integrity)
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We think you need these skills to ace Senior Manager (Head of Data Integrity)
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 Talent Finder, 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 Talent Finder. 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 Talent Finder
✨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!
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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 Talent Finder!
✨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.
