Director of Data Science & AI Engineering

Transform the Future of AI, Analytics & Intelligent Automation

We are seeking a highly innovative Director of Data Science & Analytics to lead the next evolution of an enterprise's analytics and AI capabilities. This leadership opportunity will oversee Business Intelligence, Data Science, and emerging AI-focused engineering functions while helping shape the company's long-term data and AI strategy.

This role is ideal for somebody who thrives at the intersection of business strategy, technology, and talent development. You'll have the opportunity to build and scale high-performing teams, influence executive decision-making, and drive meaningful business outcomes through advanced analytics, machine learning, and AI-enabled solutions.

Responsibilities:

• Define and advance the enterprise vision for analytics and AI in partnership with senior leadership, balancing immediate business needs with long-range capability building.

• Help experienced the organization's approach to AI adoption, intelligent workflows, and advanced decision support capabilities.

• Direct and develop managers and technical teams across business intelligence, data science, and applied engineering functions embedded within cross-functional operating groups.

• Expand the use of machine learning, forecasting, optimization, and advanced analytical methods to solve business problems and generate measurable value.

• Elevate reporting and analytics practices by improving semantic layers, strengthening data trust, and enabling effective self-service access for business users.

• Build and scale a team focused on delivering end-to-end AI applications, including generative AI and agent-based solutions.

• Partner with leaders across commercial, operations, product, and corporate areas to prioritize initiatives, align resources, and guide investment decisions.

• Establish governance for model development, MLOps, validation practices, reusable code assets, and quality standards across analytics delivery.

• Help shape platform direction and solution delivery across environments such as Azure and Databricks while supporting scalable analytics architecture.

• Lead organizational planning efforts including hiring strategy, succession planning, team design, and capability development as the function grows.

• Foster a high-accountability culture that encourages experimentation, rapid learning, continuous improvement, and strong ownership of outcomes.

Requirements:

• Bachelor’s degree in computer science, statistics, mathematics, engineering, economics, or a related discipline; an advanced degree is preferred.

• 8-10+ years of experience in data science, analytics, business intelligence, or closely related areas. • 5+ years of leadership experience overseeing leaders within data, analytics, or engineering organizations.

• Demonstrated expertise in machine learning, predictive and prescriptive analytics, statistical methods, and enterprise BI practices.

• Experience guiding budgets, workforce planning, and external vendor relationships. • Ability to influence senior stakeholders and translate business objectives into practical analytics and AI solutions.

• Familiarity with modern data and AI platforms, including Databricks and Azure, as well as governance considerations for AI and MLOps.

• Proven success building strong teams and operating effectively in agile, matrixed, or embedded delivery environments.