Data & AI Lead - Innovation & Execution

Client of Michael Page

Posted 30+ days ago

Experience

10 - 15 Years

Education

Any Graduation, Ph.D/Doctorate(Computer Science)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Technical Strategy & Roadmap: Lead the technical definition and evolution of the AI, Generative AI, and Agent AI platform strategy, identifying key technical initiatives and architectural patterns required for scalable, robust, and innovative solutions.

  • Large-Scale Platform Delivery Oversight: Provide deep technical oversight and guidance for the delivery of complex AI platforms, ensuring adherence to technical standards, performance metrics, and security requirements at an enterprise scale.
  • Vendor & Partner Collaboration: Act as a primary technical liaison with leading AI technology vendors, evaluating new capabilities, driving strategic partnerships, and integrating third-party solutions into the internal AI ecosystem.
  • Internal Team Enablement: Collaborate closely with in-house data science, machine learning engineering, and data engineering teams to understand technical challenges, unblock dependencies, and foster a culture of technical excellence and shared accountability for AI platform delivery.
  • Innovation & Research Integration: Monitor cutting-edge AI research and industry trends (e.g., advanced LLM architectures, multi-modal AI, autonomous agents), identifying opportunities to integrate new capabilities into strategic AI initiatives and platforms.

Desired Candidate Profile

  • Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly technical quantitative field.
  • Minimum of 10+ years of progressive experience in technical roles within AI/ML engineering, data engineering, or a related field, with at least 4 years in a lead or strategic oversight position specifically focused on AI platforms.
  • Deep technical expertise and hands-on experience in building and deploying large-scale AI systems, including familiarity with various AI paradigms (e.g., Supervised Learning, Reinforcement Learning, Generative AI, Agentic AI).
  • Proven experience overseeing the delivery of Generative AI and Agent AI platforms, understanding their unique architectural requirements, data pipelines, and deployment challenges.

Department / Functional Area

Keywords

  • Data & AI Lead - Innovation & Execution

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