Enterprise - Decision Science Director

Job Title

Direct the efforts of highly skilled analytics professionals, including Decision Science Managers and individual contributors, in the development and implementation of advanced analytics solutions to drive incremental franchise value across supported business unit.

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 act as an advisor to Truist Senior and Executive Leadership to support enterprise strategic initiatives, producing 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 Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

1. Serve as a thought leader who understands both business functions/operations and technology/data capabilities and has the ability to translate across both in order to expand the use of data driven insights to inform strategic direction while also expanding the questions that data is used to answer.

2. Lead a team of highly skilled senior-level analytics professionals including Decision Science Managers with a focus on a distinctive competency as internal consultants leveraging business acumen, operational understanding and analytics capabilities to optimize business performance and enhance client experiences.

3. Perform full people management responsibilities including talent acquisition, coaching, and organization of analytics professionals possessing highly technical skills, an understanding of business processes, natural curiosity, and a drive to excellence in pursuit of business optimization and impact.

4. 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.

5. Partner with Senior and Executive business leaders across supported business unit, as well as other Executive Lines of Business, to align business strategy with analytics capabilities, delivering insights that drive incremental business value.

6. Develop short and long-term objectives for translating business strategies and emerging external trends to organizational and operational tactics and priorities to execute against Truist line of business objectives.

7. Stay abreast of latest technology, analytical concepts, and trends in the market and identify implementation or consultative opportunities for advancements into new and/or existing processes.

8. 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.

9. 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, leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.

10. Represent assigned business group in various forums, work streams, and Executive reviews. Cultivate relationships with leadership of the Enterprise Data Office and federated analytics teams to drive efficient decision science delivery against shared objectives.

11. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.

Qualifications

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills.

2. Bachelor's degree and 15 years of progressive experience, or equivalent education and related training in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering.

3. Broad and in-depth expertise of data and analytics as a professional discipline, 10 years of analytics leadership experience with a diverse project focus and demonstrated results.

4. Ability to lead and manage performance of large scale teams against financial…