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About the Role

The Decision Science leader will shape and deliver high-impact, data-driven strategies to accelerate performance. This role involves structuring ambiguous problems, synthesizing complex information, and driving alignment across senior stakeholders to influence decision-making and prioritization through advanced analytics.

Responsibilities

• Lead a team of Decision Scientists to support high-impact analyses across banking channels, segments, and products.
• Manage talent acquisition, coaching, and organization of decision science professionals.
• Integrate team culture and ensure consistency in analytical deliverables.
• Foster communication and partnership with senior leadership and C-Suite executives.
• Drive business outcomes through data-driven insights to increase revenue and efficiency.
• Execute decision science projects using quantitative analysis and machine learning.
• Represent the business group in various forums and executive reviews.
• Manage risk and foster a client-centric culture in all design and deployment practices.
• Structure ambiguous problems and synthesize complex information for senior stakeholders.
• Partner with Product Groups and Lines of Business to align on quantifiable goals.
• Manage the full analytics lifecycle including data sourcing, cleaning, validation, and modeling.
• Collaborate with data management, strategy, and technology teams to embed analytics at scale.
• Utilize machine learning and generative AI to accelerate insight generation.
• Translate complex findings into executive-ready narratives.

Requirements

• Bachelor’s degree or equivalent education and related training.
• 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics, or Engineering.
• 7+ years of analytics management experience with a diverse project focus.
• Demonstrated ability to manage cross-functional teams and diverse internal business partners.
• Strong strategic and creative thinking skills.
• Excellent written and verbal communication skills.
• Ability to manage multiple projects with tight deadlines.
• Must work in-office at a designated location.
• English language fluency.

Skills

• Advanced analytics
• Applied statistics
• Behavioral science
• Machine learning
• Generative AI
• Large language models
• Quantitative analysis
• IBM DB2
• Oracle
• SAS
• SQL
• Toad
• R
• Python
• SAS E-Miner
• Tableau
• MicroStrategy
• Microsoft Office Suite

Location

• United States of America

Work Type

• Regular
• Full-time
• In-office

Experience Level

• 10+ years of experience
• 7+ years of analytics management experience

Education Level

• Bachelor’s degree
• Master’s or PhD in a quantitative field preferred

Salary/Compensations

• $140,000 - $150,000

Benefits

• Medical, dental, and vision insurance
• Life insurance
• Disability insurance
• Accidental death and dismemberment insurance
• Tax-preferred savings accounts
• 401k plan
• Minimum 10 days vacation
• 10 sick days
• Paid holidays
• Defined benefit pension plan
• Restricted stock units
• Deferred compensation plan

About the Company

• Truist is a purpose-driven financial services company formed by the merger of BB&T and SunTrust.
• The company serves clients in high-growth markets with a wide range of financial services.
• The company mission is to inspire and build better lives and communities.

Equal Opportunity

• Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law.
• Truist is a Drug Free Workplace.