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- Tasks: Lead and innovate data architecture for a global consultancy.
- Company: Join a renowned global consultancy shaping the future of data solutions.
- Benefits: Enjoy competitive salary, flexible working options, and professional development opportunities.
- Why this job: Be at the forefront of data strategy, making a real impact in a dynamic environment.
- Qualifications: Expertise in data architecture, ETL, MDM, and BI required.
- Other info: This is a permanent role with significant growth potential.
The predicted salary is between 72000 - 108000 £ per year.
Head of Data required to join a Global Consultancy. The purpose of this role is to own, manage design and redesign the Architecture.
Role & Responsibilities:
- Strong Data Architect - Designing/ redesigning experience.
- Strong experience in creating data solutions.
- Strong DW design experience including OLAP and large systems architect.
- Strong Experience in Informatica, ETL.
- Must have strong MDM experience.
- Experience in Axon, schema scans, lineage and integration including heavy APIs.
- Must have done cost modelling for operations.
- Must have strong DATA services design experience globally.
- Must have experience in Data Modelling, Data Mart, Key normalization.
- You should have strong experience of Data management experience on an expert level with BI expertise.
- End to end architecture expertise - Designing, redesigning, planning.
- Strong Shaping solution in all aspect of data.
- Must have experience in strategic roadmaps and information strategy.
Head of Data employer: Careerwise
Contact Detail:
Careerwise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data
✨Tip Number 1
Network with professionals in the data architecture field. Attend industry conferences, webinars, or local meetups to connect with others who may have insights or opportunities related to the Head of Data role.
✨Tip Number 2
Showcase your expertise by engaging in online forums or communities focused on data management and architecture. Sharing your knowledge can help you build a reputation and attract attention from recruiters.
✨Tip Number 3
Consider obtaining relevant certifications that highlight your skills in data architecture, ETL processes, and data management. This can set you apart from other candidates and demonstrate your commitment to professional development.
✨Tip Number 4
Research the specific consultancy and their projects. Tailor your discussions during networking or interviews to reflect an understanding of their data challenges and how your experience aligns with their needs.
We think you need these skills to ace Head of Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture, data solutions, and any relevant tools like Informatica and ETL. Use specific examples that demonstrate your expertise in designing and redesigning data systems.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for the Head of Data role. Discuss your experience with data management, strategic roadmaps, and how you've shaped data solutions in previous roles. Be sure to connect your skills to the responsibilities outlined in the job description.
Showcase Relevant Projects: If possible, include a portfolio or a section in your CV that showcases projects where you have successfully implemented data architectures or solutions. Highlight your experience with MDM, data modelling, and any large systems you've worked on.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Look for any spelling or grammatical errors, and ensure that your formatting is consistent. A polished application reflects your attention to detail, which is crucial for a role in data management.
How to prepare for a job interview at Careerwise
✨Showcase Your Architectural Expertise
Be prepared to discuss your experience in designing and redesigning data architectures. Highlight specific projects where you successfully implemented solutions, focusing on the challenges faced and how you overcame them.
✨Demonstrate Your Data Solutions Knowledge
Familiarise yourself with the latest trends in data solutions and be ready to share your insights. Discuss your experience with tools like Informatica and ETL processes, as well as any innovative solutions you've developed.
✨Prepare for Technical Questions
Expect in-depth technical questions related to data warehousing, OLAP systems, and data modelling. Brush up on your knowledge of MDM, schema scans, and API integrations to confidently answer these queries.
✨Discuss Strategic Roadmaps
Be ready to talk about your experience in creating strategic roadmaps and information strategies. Share examples of how you've shaped data solutions that align with business goals and improved operational efficiency.
