Lead Solution Architect (Data, Analytics and AI)

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.