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- Tasks: Lead data strategy and governance while managing analytics initiatives remotely.
- Company: Join NES Fircroft, a top engineering staffing provider with 90 years of experience.
- Benefits: Enjoy remote work flexibility, corporate perks, and support for contractors.
- Why this job: Be at the forefront of data innovation in a dynamic industry with a strong focus on compliance.
- Qualifications: Bachelor’s degree in Data Science or related field; experience in data governance and analytics required.
- Other info: Occasional business trips to the Middle East; deadline for CV submission is tomorrow at 3pm.
The predicted salary is between 36000 - 60000 £ per year.
Remote with occasional business trips to the Middle East. Inside IR35. 8 Hour Day, 5 days per week.
Essential skills and experience:
- Data strategy and governance
- Enterprise data management
- Business intelligence and analytics
- Cloud data platforms (AWS, Azure, GCP)
- Data security and compliance
- AI/ML and predictive analytics
- Big data technologies and data warehousing
- Risk management and regulatory reporting
- Data integration and automation
- Digital transformation and innovation
- Oil & Gas background is advantageous
Job Overview:
The Data Manager, reporting to the CIO, will lead the data strategy, governance, and analytics functions within the organization. Responsibilities include managing data policies, overseeing analytics initiatives, and ensuring data compliance to support business insights and operational efficiency.
Key Responsibilities:
- Support data governance, analytics, and IT strategy development
- Serve as SME on data-driven decision-making and compliance
- Collaborate with CIO on data investments and innovation
- Ensure regulatory compliance and data integrity
- Review data requirements in vendor contracts and risk assessments
- Develop and implement data strategies aligned with business goals
- Establish and enforce data governance policies and standards
- Manage data assets' storage, security, and compliance
- Design and implement data architecture and analytics platforms
- Ensure data quality, accessibility, and usability across departments
- Lead initiatives in predictive analytics and AI/ML capabilities
- Integrate data systems with enterprise applications and cloud solutions
- Implement data security, privacy, and disaster recovery measures
- Build relationships with IT, auditors, and compliance teams
- Mentor and train teams on data management and analytics tools
Requirements for Success:
- Bachelor’s degree in Data Science, IT, Computer Science, or related field
- Certifications such as CDMP, DAMA, or cloud data certifications preferred
- Extensive experience in data governance, management, and analytics
- Strong knowledge of data architecture, warehousing, and cloud solutions
- Experience with big data, AI/ML, and BI platforms
- Proven compliance, security, and regulatory reporting expertise
- Leadership skills with team mentoring experience
- Experience in high-risk industries like oil & gas, energy, or infrastructure is a plus
- Strong problem-solving skills and ability to work under pressure
- Excellent stakeholder engagement and communication skills
- Fluent in English; proficiency in Arabic and Kurdish is desirable
NES Fircroft has over 90 years of experience as a leading engineering staffing provider across multiple sectors worldwide. We support contractors with visas, benefits, and accommodation to ensure safe and compliant work environments.
Data Manager employer: NES Fircroft
Contact Detail:
NES Fircroft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data governance and management. Being well-versed in current best practices will not only boost your confidence but also demonstrate your commitment to the role during discussions.
✨Tip Number 2
Network with professionals in the oil and gas sector, especially those who have experience in data management. Engaging in conversations can provide insights into industry-specific challenges and expectations, which you can leverage in your application.
✨Tip Number 3
Prepare to discuss your experience with cloud data platforms like AWS, Azure, or GCP. Be ready to share specific examples of how you've utilised these technologies to drive data strategy and compliance in previous roles.
✨Tip Number 4
Brush up on your knowledge of AI/ML and predictive analytics. Given the emphasis on these skills in the job description, being able to articulate how you've applied these concepts in real-world scenarios will set you apart from other candidates.
We think you need these skills to ace Data Manager
Some tips for your application 🫡
Tailor Your CV: Make sure to customise your CV to highlight your experience in data strategy, governance, and analytics. Emphasise any relevant projects or roles that align with the job description, especially those involving cloud data platforms and big data technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your skills meet the requirements. Mention your experience in data management and any specific achievements in predictive analytics or AI/ML that would make you a strong candidate.
Highlight Relevant Certifications: If you have certifications like CDMP, DAMA, or cloud data certifications, be sure to include these prominently in your application. They can set you apart from other candidates and demonstrate your commitment to the field.
Showcase Soft Skills: In addition to technical skills, highlight your leadership abilities and communication skills. Provide examples of how you've mentored teams or engaged stakeholders effectively, as these are crucial for the Data Manager role.
How to prepare for a job interview at NES Fircroft
✨Showcase Your Data Strategy Knowledge
Make sure to highlight your understanding of data strategy and governance during the interview. Be prepared to discuss specific examples of how you've developed or implemented data strategies in previous roles, especially in relation to compliance and regulatory requirements.
✨Demonstrate Technical Proficiency
Familiarise yourself with the cloud data platforms mentioned in the job description, such as AWS, Azure, and GCP. Be ready to explain how you've used these technologies in past projects, particularly in data integration and automation.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work under pressure. Think of situations where you had to manage data quality or security issues and how you resolved them effectively.
✨Emphasise Leadership and Mentoring Experience
Since the role involves mentoring teams, be sure to discuss your leadership experience. Share examples of how you've guided teams in data management and analytics tools, and how you fostered a collaborative environment.
