Transform the Future of AI, Analytics &amp; Intelligent Automation <br> We are seeking a highly innovative Director of Data Science &amp; Analytics to lead the next evolution of an enterprise&#39;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&#39;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&#39;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. <br> 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&#39;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.

• 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.

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