At a Glance
- Tasks: Lead enterprise data strategy and shape AI readiness initiatives with top-level stakeholders.
- Company: Join a forward-thinking consultancy focused on data transformation and governance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a transformative journey in building an AI-ready data ecosystem.
- Why this job: Make a significant impact on data strategy and drive innovation in a dynamic environment.
- Qualifications: Experience in data strategy, governance, and strong advisory skills with senior executives.
The predicted salary is between 70000 - 90000 £ per year.
We are recruiting for a Senior Data Consultant to lead enterprise data strategy, data governance and AI readiness initiatives.
This senior consulting role will work directly with CXO-level stakeholders, shaping data strategy, operating models, technology roadmaps and large-scale data transformation.
Key Responsibilities
- Define and deliver enterprise data strategy aligned with business priorities.
- Design data operating models across business units, IT and the Chief Data Office (CDO).
- Establish data governance, ownership, stewardship, data quality and decision-making frameworks.
- Assess data maturity and AI readiness, creating actionable transformation roadmaps.
- Advise on modern data architecture, cloud data platforms, data warehouses, lakehouses, MDM, metadata management and data cataloguing.
- Evaluate AWS and GCP solutions, AI/ML platforms, integration, APIs and real-time streaming technologies.
- Support vendor selection, build-vs-buy decisions and technology investment priorities.
- Lead executive workshops and influence senior stakeholders across business and technology.
Essential Skills
- Enterprise data strategy and data transformation experience.
- Strong data governance and data operating model expertise.
- Proven CXO, C-suite or senior executive advisory experience.
- Strong knowledge of AWS, GCP and modern cloud data architecture.
- Understanding of AI/ML lifecycle, data engineering and analytics.
- Excellent stakeholder management, consulting, facilitation and communication skills.
Desirable Experience working with a Chief Data Office, GDPR, responsible AI, data ethics, MDM, metadata management, data quality, cloud certification or large-scale transformation programmes.
This is an excellent opportunity for a senior data strategy, governance or transformation consultant to shape an enterprise-wide, AI-ready data ecosystem
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Consultant in Coventry
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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 DCV Technologies.
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We think you need these skills to ace Senior Data Consultant in Coventry
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 DCV Technologies, 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 DCV Technologies. 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 DCV Technologies
✨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 DCV Technologies!
✨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.
