You are an experienced data scientist who combines thought leadership and innovation with practical action, is skilled at building and leading highly effective teams, and is adept at forging strong working partnerships across organizational, functional, and hierarchical boundaries.  You understand and reinforce the corporate culture of balancing fast, relevant, and effective delivery, with appropriate stakeholder partnership and coordination, and conformance with all applicable controls, policies, and procedures.

Key Responsibilities

• Build and manage team with responsibility for developing and delivering AI/ML solutions to support HR product areas
• Leverage AI/ML to generate insights and recommendations for business actions, to reduce costs, to increase capabilities, to enhance controls, and to improve employee experiences. 
• Drive internal development, promote reuse and partnership of AI/ML techniques and tools with groups across the firm, and leverage vendor solutions, as appropriate 
• Partner with Workforce Technology to architect and implement scalable, cost effective, enterprise quality data and analytics systems
• Ensure conformance with all applicable controls, policies, and procedures

Requirements

• Significant relevant expertise and experience in data science
• Demonstrated management skills in leading data scientists
• MA/MBA or PhD/ScD in quantitative discipline relating to data science or statistics
• Expertise with modern AI/ML algorithms, techniques, software, and their practical application to build enterprise scale solutions
• Practical experience with statistical data analysis and experimental design
• Practical software development experience in collaborative project settings, including rapid prototyping and disciplined software development processes
• Leadership and executive presence – demonstrated credibility as a thought leader and influencer
• Strong project management skills – track record of driving execution and delivery 
• Excellent communications skills – can concisely, clearly, and accurately share ideas