Director Data Science & Analytics Product Development International Markets

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• →Independently execute a broad range of people-related responsibilities, including talent acquisition, pipeline management, training, development, goal setting, and performance management. 

• →Lead business functions including revenue planning, budgeting, capacity planning, resource allocation, project management, work measurement, management reporting, and merger and acquisition support. 

• →Proactively contribute to the development of operating policies and procedures of significant scope and complexity to advance operational excellence across Data Science & Analytics. 

• →Ensure the quality and continuous improvement of analytical product delivery and deliverables. 

• →Maintain the right team composition and use a mature approach to managing direct reports and influencing stakeholders while supporting team members’ careers. 

• →Ensure team members are regularly upskilled to meet the organization’s changing needs. 

• →Represent the team with global and GCC stakeholders, identify the drivers of team success, and independently advance them while securing stakeholder alignment. 
• →Availability to travel internationally up to 50%. 

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.

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• Experience managing a team of 20+ people, with a demonstrated ability to take on additional responsibilities over time. 

• Deep knowledge and hands-on expertise in predictive modeling, statistical inference, machine learning, and other advanced analytical techniques. 

• Deep, current knowledge of industry trends and dynamics, with the ability to speak authoritatively with customers about topics relevant to their business. 

• Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches. 

• Broad understanding of global analytics services and customer demands and substantial experience delivering formal presentations to large and senior-level groups, as well as presentations in smaller, less formal settings.