Job Detail

Lead Solution Architect (Data, Analytics and AI)

• Field: Consulting
• Deadline: 2026-03-07 10:03
• London

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