Lead Solution Architect (Data, Analytics and AI)

London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Platform Specialist | Remote | £85k + bonus

Technical Cutover & Hypercare Lead

Lead / Senior Software Engineer - Java/Python/AWS - 12 Month Contract

Lead Power Electronics Design Engineer

Power Electronics Design Engineer

Lead UAV Engineer

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.

This 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. The successful candidate will provide technical leadership to a team of data scientists, analysts, and AI data engineers, collaborating closely with cross-functional teams to develop innovative data solutions and drive growth opportunities.

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Robotics Job Applications (UK Guide)

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.

Robotics Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Robotics looks futuristic from the outside. People picture humanoid machines, cutting-edge labs & young engineers writing complex code. In the UK job market, the reality is more practical and more encouraging for career switchers: robotics is already embedded across manufacturing, logistics, healthcare, agriculture, defence, construction & inspection. That means there are real jobs for people in their 30s, 40s & 50s who bring operational experience, delivery skills, quality discipline & the ability to work with real-world systems. This article gives you a clear UK reality check on robotics careers for career switchers: what roles genuinely exist, which paths are most realistic, what skills employers actually hire for, how long retraining tends to take & whether age is a factor.