At a Glance
- Tasks: Lead innovative data and AI projects, designing scalable solutions that deliver real business value.
- Company: Join Movar, an award-winning company transforming project delivery with a people-first culture.
- Benefits: Enjoy competitive salary, professional development, and a supportive work environment.
- Other info: Dynamic workplace with opportunities for career growth and collaboration across disciplines.
- Why this job: Be part of a growing team making a real impact in the data and AI landscape.
- Qualifications: Experience in data and AI, strong problem-solving skills, and excellent communication abilities.
The predicted salary is between 54000 - 66000 £ per year.
At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered.
Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered.
Our vision is simple yet powerful
to improve the lives of people everywhere through the delivery of projects.
We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery.
We’re proud to have been named
Winners of the Global Project Controls Innovation of the Year Award 2024.
Why Join Movar?
Movar is in an exciting period of growth, and there’s never been a better time to be part of our journey.
We’re building something special—scaling our business while staying true to our people-first approach.
At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company.
Our unique culture sets us apart from other consulting practices, and we’re keen to build a team that is as ambitious as we are.
Our IDEAL Values
- Integrity
- We do the right thing, always.
- Drive
- We push boundaries and strive for excellence.
- Empathy
- We care deeply about our people and clients.
- Adaptability
- We embrace change and thrive in it.
- Loyalty
- We stand by each other and our mission.
About the Role
Movar is seeking a Solutions Lead with comprehensive understanding of the data lifecycle and the ability to architect tool-agnostic technical solutions.
You will work across the full spectrum of data and AI capabilities, from analytics and engineering to data science and Generative AI, translating complex business problems into elegant, scalable technical solutions.
As a trusted advisor to clients and a technical bridge within our team, you will shape solution designs that deliver real business value across major infrastructure programmes.
- Core Responsibilities
- Lead end-to-end solution design for complex data and AI projects, from initial discovery through to implementation planning.
- Architect tool-agnostic technical solutions that span the entire data lifecycle, including ingestion, storage, processing, analytics, and AI applications.
- Conduct requirements gathering and stakeholder workshops, translating business challenges into well-defined technical solutions.
- Design integration architectures that connect disparate systems, data sources, and platforms.
- Evaluate and recommend appropriate technologies across the data and AI landscape, balancing client constraints with best practices.
- Create comprehensive solution documentation, including architecture diagrams, data flow designs, and technical specifications.
- Collaborate across disciplines, working with data engineers, analysts, and data scientists to ensure cohesive solution delivery.
- Support business development through solution design for proposals, estimates, and client presentations.
- Stay current with emerging technologies and industry trends, evaluating their applicability to client challenges.
- Provide technical guidance to delivery teams, ensuring solutions are implemented according to design principles.
- Technical Stack
Core
- Power BI
- SQL Server
- Tool-agnostic architecture patterns
- Cloud platform comparison (Azure, AWS, GCP), API design
- Microsoft Fabric
- MLOps frameworks
- What You'll Bring
- Professional experience spanning multiple areas of data and AI (analytics, engineering, or data science).
- Strong understanding of the complete data lifecycle, from source systems through to business consumption.
- Demonstrated ability to design technical solutions that are both pragmatic and innovative.
- Experience with solution architecture, including creating architecture diagrams, data models, and technical specifications.
- Broad technical knowledge across analytics platforms, data engineering tools, and AI/ML technologies.
- Tool-agnostic mindset with ability to evaluate and recommend appropriate technologies for specific use cases.
- Excellent communication skills, with ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience working in client-facing roles, with strong stakeholder management abilities.
- Problem-solving orientation with a focus on delivering business value, not just technical elegance.
- A strong commitment to Movar's IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty.
- Solution Design
- Ability to decompose complex business problems into technical requirements.
- Experience designing scalable, maintainable architectures across the data and AI stack.
- Understanding of trade-offs between different technical approaches.
- Cross-Disciplinary Knowledge
- Working knowledge of data analytics, data engineering, and data science practices.
- Understanding of Generative AI applications, including RAG architectures and LLM integration.
- Familiarity with cloud platforms, data governance, and security considerations.
- Proven ability to facilitate workshops and gather requirements from diverse stakeholders.
- Experience creating clear, compelling technical documentation and presentations.
- Skill in bridging the gap between business needs and technical implementation.
- Ability to assess emerging technologies and evaluate their maturity and applicability.
- Experience conducting proof-of-concepts and technical feasibility studies.
- Understanding of licensing, cost, and operational considerations in technology selection.
Office Address
Unit 3 Knot House, 6 Brewery Square, London SE1 2LF
Movar Group Limited is registered in England and Wales number: 08603258 VAT No: GB 168982251
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Solutions Lead Data & AI employer: Movar Limited
As a leading project delivery firm in the UK, we pride ourselves on our people-first culture that prioritises employee well-being and development. Joining our Data & AI team as a Graduate Data Engineer means you'll have access to exceptional growth opportunities, mentorship from seasoned professionals, and the chance to work on impactful projects that shape the future of cloud data systems.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Lead Data & AI
✨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 Movar Limited!
✨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 Solutions Lead Data & AI at Movar Limited.
✨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 Movar Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Solutions Lead Data & AI at Movar Limited, 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!
We think you need these skills to ace Solutions Lead Data & AI
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 Movar Limited, 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 Movar Limited. 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 Movar Limited
✨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 Movar Limited!
✨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.
