Job Description: Title: Sr Director, Data Science Reports to: VP, IT Platforms and Applications Location: US Terex Location Relocation: TBD Travel: Estimated 30% travel, both domestic and international What you'll do The Senior Director, Data Science is responsible for leading the data science strategy and associated technology initiatives across the enterprise. This is a great opportunity to play a significant role in digital transformation at Terex by overseeing the architecture of data pipelines and platforms to ensure performance, scalability, and security, and leading the development and deployment of scalable AI models, predictive analytics, and machine learning solutions. The successful candidate will have a strong background in data science, leadership capabilities, and a passion for leveraging data to drive business decisions, improve customer experiences, and enhance operational efficiencies. Key Responsibilities: Strategy: Develop and implement the data science strategy in alignment with our digital transformation goals. Identify and prioritize data initiatives that drive innovation and competitive advantage. Stay abreast of industry trends, emerging technologies, and best practices to inform strategic planning. Leadership: Lead, mentor, and develop teams fostering a culture of collaboration and continuous improvement. Provide direction and support to ensure the successful execution of digital transformation initiatives. Digital Transformation: Drive digital transformation initiatives by leveraging advanced data science capabilities, machine learning, and AI to optimize business processes and enhance customer experiences. Advanced Analytics & Data-Driven Insights: Utilize advanced analytics to generate actionable insights, support decision-making, and identify opportunities for business growth. Develop and deploy predictive models to support various business functions. Data Governance: Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance. Oversee data management practices, including data collection, storage, and analysis. Collaboration: Work closely with cross-functional teams to integrate data science solutions across the organization. Innovation: Stay abreast of industry trends, emerging technologies, and best practices in data science and digital transformation to continually enhance the organization's capabilities. Project Management: Drive data science projects from inception to completion, ensuring they meet business objectives and are delivered on time and within budget. What you'll bring Required Qualifications: Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. 10+ years of experience in data science, with at least 5 years in a leadership role. Proven track record of driving digital transformation initiatives. Proficiency in data warehouse platforms (e.g. AWS Redshift), business intelligence platforms (e.g. Qlik), data science tools & programming languages (e.g. Python, SQL). Experience with AI, machine learning frameworks and integrating large language models into AI-powered applications (e.g. Palantir AIP). Strong analytical and problem-solving skills. Ability to translate complex data into actionable insights. Demonstrated leadership abilities with experience managing and mentoring teams. Excellent verbal and written communication skills. Ability to effectively communicate technical concepts to non-technical stakeholders. Experience in facilitating change, including collaboration with senior-level stakeholders. Proven internal and external influencing skills at senior and executive management levels. Working knowledge of data structures of various ERP, PLM, MES, CRM and eCommerce platforms.