About The Position

Exol is seeking a Senior Director, Data Science, to build and lead a new data science capability within its technology organization. This leader will establish the function’s strategy, team, operating model, priorities, and roadmap, bringing AI, advanced analytics, and intelligent decision-making into Exol’s technology platform and operations. Exol’s platform combines physical robotics, cloud technology, engineering, and operational capabilities. The Data Science team will help make the platform more intelligent, efficient, and scalable through applied AI, machine learning, optimization, predictive analytics, and other advanced data techniques. The role partners with leaders across engineering, technology, operations, and commercial functions, and advises Exol leadership on the value of AI and data.

Requirements

  • Minimum of 10 years of management experience and 15 years of total work experience.
  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
  • Significant leadership experience in data science, AI, machine learning, advanced analytics, or related technical disciplines.
  • Demonstrated experience building or substantially scaling a data science organization or capability.
  • Strong knowledge of applied machine learning, AI, optimization, predictive modeling, and data-driven decision systems.
  • Experience bringing data science solutions into production environments where reliability, scalability, and measurable business outcomes matter.
  • Strong business judgment and communication skills, including the ability to prioritize investments, recruit technical talent, and communicate technical concepts and strategic trade-offs to executive and nontechnical audiences.
  • Valid driver's license and ability to drive and/or fly to client locations and company headquarters.

Nice To Haves

  • Master’s degree or PhD.
  • Experience in complex technology or operational environments.

Responsibilities

  • Build the data science function from the ground up, defining its strategy, priorities, operating model, and roadmap.
  • Develop and execute a practical AI and data science strategy focused on improving the intelligence and efficiency of Exol’s platform.
  • Identify high-value opportunities for machine learning, AI, optimization, predictive analytics, and other advanced data techniques across the business.
  • Partner with engineering, technology, operations, and commercial leaders to turn complex business and operational challenges into scalable, data-driven solutions.
  • Build, mentor, and lead a high-performing team of data scientists, machine learning specialists, and related technical talent as the organization scales.
  • Establish standards, tools, processes, and governance to move data science solutions from experimentation into reliable production environments.
  • Advise Exol leadership on how AI and data can drive operational efficiency and competitive advantage.
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