About The Position

The Sr. Director of AI/ML and Data Services position will be responsible for leading strategy, development, and governance of AI and data platforms to drive data-driven decisions, leading teams in data engineering, AI/ML, and architecture. Key responsibilities include developing data strategy, building and scaling data platforms, managing ML model deployment and monitoring, and ensuring responsible AI practices and data governance.

Requirements

  • Master's degree in data engineering, data science, computer engineering, or a related quantitative field.
  • 15+ years of deep hands-on experience in data architecture, data engineering, AI/ML fundamentals, cloud platforms (e.g., AWS, Azure, GCP), and advanced data science techniques.
  • 10+ years of proven experience leading data science, AI/ML, and data engineering teams.
  • Experience in designing, implementing, and deploying scaled AI/ML enterprise applications.
  • 2+ years of experience working with C-level stakeholders and influencing enterprise strategy with ability to translate technical vision into business value and drive organizational change.
  • Proven ability to both set a visionary strategy and execute pragmatically to deliver measurable value.

Responsibilities

  • Develop and execute comprehensive enterprise data and AI strategy aligned with business goals, including creating a modern data ecosystem.
  • Lead, mentor, and scale high-performing teams across data engineering, data architecture, and AI/ML.
  • Oversee the design, development, and maintenance of scalable and efficient data platforms, such as data lakes and data warehouses.
  • Drive the development and deployment of AI/ML models and solutions, including staying current with emerging technologies.
  • Establish and enforce governance frameworks, ensuring data quality, security, compliance with regulations, and the responsible use of AI.
  • Foster a culture of innovation, driving the adoption of advanced analytics and AI across the organization and exploring new data sources and AI models.
  • Strong Execution and Project Management skills to take initiatives from Proof of Concept to successful value realization execution.
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