Senior Director Data Science

Job Description

What we need

Exol is seeking for a Senior Director, Data Science to join our Data Science team within our technology organization. Your job will be to build and lead a critical new data science capability, establishing the strategy, team, and roadmap that bring AI, advanced analytics, and intelligent decision-making into Exol’s technology platform and operations.

What we do

Exol’s technology platform brings together physical robotics, cloud technology, engineering, and operational capabilities. The Data Science team will add a new core capability focused on making that platform increasingly intelligent, efficient, and scalable through applied AI, machine learning, optimization, predictive analytics, and advanced data techniques.

What you'll do

• 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 to apply machine learning, AI, optimization, predictive analytics, and 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 the standards, tools, processes, and governance necessary to move data science solutions from experimentation into reliable production environments.

• Serve as a senior advisor to Exol leadership on how AI and data can drive operational efficiency and competitive advantage.

What you'll need

• 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. Master’s degree or PhD preferred.

• Significant leadership experience in data science, AI, machine learning, advanced analytics, or related technical disciplines, ideally in complex technology or operational environments.

• Demonstrated experience building or substantially scaling a data science organization or capability, rather than solely inheriting an established team.

• 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, with the ability to prioritize investments, recruit technical talent, and communicate sophisticated technical concepts and strategic trade-offs to executive and nontechnical audiences.

Our Environment

• Up to 30% of travel may be required. Employees must have a valid driver's license and the ability to drive and/or fly to client locations and company HQ.

• Employees may be required to use a personal credit card for business travel expenses, which are reimbursed based on the program guidelines. Eligible employees may receive a corporate credit card based on role and travel requirements, but a personal credit card may be needed during onboarding until the corporate card is issued.

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