Decision Science Lead

Truist; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

401k plan

Paid vacation

Job summary

Truist Financial Corporation is seeking a strategic Decision Science leader to drive data-informed decisions and measurable business results. You will partner with strategy, product, technology, and data teams to deliver AI-driven insights that boost revenue and efficiency.

The role requires strong business acumen, executive communication, and the ability to translate complex analyses into actionable recommendations for leaders across the organization.

Qualifications

• Bachelor’s degree or equivalent education with 7+ years in Banking/Analytics/DS fields

Responsibilities

• Mentor and multiply impact of Decision Scientists across multiple business models
• Lead target initiatives; drive decision science projects with quantitative methods
• Foster cross-functional partnerships with strategy, product, technology, and data teams
• Aim for data-driven insights that improve revenue and efficiency
• Champion the use of analytics tools to deliver timely, accurate, repeatable results
• Exercise sound judgment and risk management while focusing on business impact
• Represent the team in executive reviews and partner with analytics counterparts across the org

Skills

Business acumen

Stakeholder management

Communication skills

Leadership

Cross-functional collaboration

Education

Bachelor’s degree or equivalent

Master’s or PhD (preferred)

Tools

IBM DB2

Oracle

SAS

SQL

R

Python

SAS E-Miner

Tableau

MicroStrategy

Excel

Job description

Need Help?

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Regular or Temporary

Regular

Language Fluency

English (Required)

English

Work Shift

1st shift (United States of America)

Please review the following job description

We are seeking a strategic and intellectually curious Decision Science leader to drive data-informed decisions and measurable business results. This role partners closely with key stakeholders to solve complex business problems, identify growth opportunities, and influence strategic priorities through advanced analytics, machine learning, and AI-driven insights.

The successful candidate will lead analytical initiatives from data exploration through model development and insight generation, partnering across strategy, product, technology, and data teams to deliver solutions that improve decision-making and business performance.

Success in this role requires strong business acumen, executive communication skills, and the ability to translate complex analyses into clear, actionable recommendations that influence leaders and drive quantifiable outcomes.

Essential Duties And Responsibilities

• Responsible for mentoring and acting as a force multiplier in support of Decision Scientists, with a focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
• Lead on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
• Foster communication and partnership across multiple levels of the organization including engagement with LOB leaders and senior managers. 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.
• Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
• Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
• 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.

Qualifications

Required Qualifications

• 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
• Bachelor’s degree or equivalent education and 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience
• 4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results
• Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
• Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact
• Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
• Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact
• Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness
• Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)

Preferred Qualifications

• Master’s or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
• 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
• 2+ years of analytics management experience with a diverse project focus and demonstrated results

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation

All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

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.

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