Decision Science Manager - Financial Services Experience Required

Decision Science Manager

Provide direct supervision to a team of Decision Scientists and Decision Science Leads for assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will lead a team of Decision Scientists and partner with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.

Essential Duties and Responsibilities

• Responsible for leading a team of Decision Scientists in support of high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
• Responsible for talent acquisition, coaching, and organization of decision science professionals possessing highly technical skills, an understanding of business processes, natural curiosity, and a drive to excellence in pursuit of business optimization and impact.
• Drive integration of team culture (who we are), connection between analysis and strategic focus (how we win), and consistency in deliverables (what good looks like). Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
• Foster communication and partnership across all levels of the organization including engagement with senior leadership and C-Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on LOB and company goals.
• Pursue business outcomes valued through increased revenue and / or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
• Drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
• Represent assigned business group in various forums, work streams, and executive reviews. Cultivate relationships with partner federated and hub analytics teams to drive efficient decision science delivery against shared objectives.
• Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.

Qualifications

Required Qualifications :

Preferred Qualifications :