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For Companies At a Glance
- Tasks: Lead the delivery of innovative data and AI solutions for clients.
- Company: Join a forward-thinking tech company that values collaboration and innovation.
- Benefits: Enjoy a supportive environment, competitive benefits, and opportunities for skill development.
- Why this job: Make a real impact by driving data-driven decisions and enhancing business performance.
- Qualifications: Proven experience in data management and analytics with strong leadership skills.
- Other info: Inclusive workplace committed to diversity and continuous improvement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The Lead Solution Architect for Data, Analytics and AI will focus on leading delivery of high‑quality, compliant, and scalable DATA / AI solutions across our portfolio. This role involves developing offerings, sales support, and delivery. The role requires a strategic and hands‑on approach to drive data‑driven decision‑making, deliver actionable insights, and enhance business performance by incorporating Artificial Intelligence and Machine Learning for Expleo’s clients.
Responsibilities
- Leadership and Strategy: Help the Service head to define the data and analytics vision, strategy, and roadmap aligned with the firm’s goals. Align the data and analytics strategy with the firm’s overall goals and objectives. Provide leadership and guidance to the team, fostering a culture of innovation, collaboration, and continuous improvement. Identify emerging trends and technologies in data, analytics, and AI to drive competitive advantage.
- Client Engagement: Engage with clients to understand their data, analytics, and AI needs, challenges, and objectives. Translate client requirements into actionable data and AI strategies, solutions, and deliverables. Lead solution workshops with client stakeholders. Act as a trusted adviser to clients, demonstrating expertise in data‑driven decision‑making and analytics.
- Data and AI Analysis and Insights: Oversee the design, development, and execution of data models, algorithms, and analytical frameworks. Drive data exploration, visualization, and interpretation to extract meaningful insights. Present findings and recommendations to clients and internal stakeholders in a clear and compelling manner.
- Data Governance and Compliance: Develop and implement data governance policies, procedures, and best practices to ensure data quality, integrity, and security. Ensure compliance with data privacy regulations and industry standards. Stay updated on evolving data regulations and proactively adapt the firm’s practices accordingly.
Essential Skills
- Strong understanding of data management, analytics, and visualization techniques and tools with a strong delivery record.
- Excellent communication and presentation skills, with the ability to explain complex concepts to non‑technical stakeholders.
- Familiarity with data privacy and compliance regulations (e.g., GDPR, CCPA) is desirable.
Experience
- Proven experience in a technical leadership role within data and analytics, preferably in a consulting or professional services environment.
Benefits
- Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges.
- We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects.
- ExpleoAcademy – enables you to acquire and develop the right skills by delivering a suite of accredited training courses.
- Competitive company benefits.
- Always working as one team, our people are not afraid to think big and challenge the status quo.
As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible. Communicating and promoting vacancies. Offering an interview to disabled people who meet the minimum criteria for the job. Anticipating and providing reasonable adjustments as required. Supporting any existing employee who acquires a disability or long‑term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
Seniority Level: Mid‑Senior level
Employment Type: Other
Job Function: Information Technology
Industries: IT Services and IT Consulting
Lead Solution Architect (Data, Analytics and AI) employer: Expleo Group
Contact Detail:
Expleo Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Solution Architect (Data, Analytics and AI)
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. It’s all about making those connections that could lead to your next opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website where you can showcase your projects, especially those related to data, analytics, and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data-driven decision-making and AI solutions. Think about how you can demonstrate your leadership and strategic thinking skills during these discussions.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about technology and innovation. Plus, it shows you’re genuinely interested in joining our team at Expleo.
We think you need these skills to ace Lead Solution Architect (Data, Analytics and AI)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Solution Architect role. Highlight your experience in data management, analytics, and AI, and show how it aligns with our vision and goals at StudySmarter.
Showcase Your Leadership Skills: We want to see your leadership style! Share examples of how you've guided teams or projects in the past, especially in a technical environment. This will help us understand how you can contribute to fostering a culture of innovation and collaboration.
Be Clear and Compelling: When presenting your experience, make it easy for us to grasp your achievements. Use clear language and avoid jargon where possible. Remember, we appreciate strong communication skills, especially when explaining complex concepts!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Expleo Group
✨Know Your Data Inside Out
As a Lead Solution Architect, you'll need to demonstrate a strong understanding of data management and analytics. Brush up on the latest trends in data, AI, and machine learning. Be ready to discuss how you've applied these concepts in previous roles and how they can benefit the company.
✨Engage with Real Client Scenarios
Prepare for the interview by thinking about real client challenges you've faced. Be ready to share specific examples of how you translated client needs into actionable data strategies. This will show your ability to engage with clients and act as a trusted adviser.
✨Showcase Your Leadership Skills
This role requires strong leadership and strategic vision. Think of instances where you've led a team or project successfully. Highlight how you fostered collaboration and innovation, and be prepared to discuss how you would align the data strategy with the firm's goals.
✨Communicate Clearly and Confidently
Excellent communication skills are essential for this position. Practice explaining complex data concepts in simple terms, especially for non-technical stakeholders. During the interview, focus on clarity and confidence in your responses to make a lasting impression.
