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Computer Science Manager Jobs in Charlotte, NC (NOW HIRING)

... Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience 3. 4+ years of decision science/analytics project management experience with a diverse ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

IT Project Manager

Charlotte, NC · Hybrid

$96K - $113K/yr

Bachelor's degree in a technology-related field (e.g., Computer Science, Software Engineering, IT). * Project Management Professional (PMP) certification or other relevant certifications. * Proven ...

Additionally, you will partner with Model Risk Management to validate model results and ensure ... Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial ...

Additionally, you will partner with Model Risk Management to validate model results and ensure ... Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial ...

New

... management culture throughout design, development, and deployment practices; partner with cross ... Computer Science, or Engineering, or equivalent education and related training 2. Exhibit ...

... management, statistical analytics, predictive modeling, and generating revenue, consider applying ... Bachelor's degree in a quantitative field such as: computer science, math, and physics * You have 3 ...

... management, statistical analytics, predictive modeling, and generating revenue, consider applying ... Minimum Bachelor's degree in a quantitative field such as computer science, math, statistics, and ...

Showing results 21-40

Computer Science Manager information

See Charlotte, NC salary details

$9

$25

$52

How much do computer science manager jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for computer science manager in Charlotte, NC is $25.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $31.92 per hour, depending on experience, location, and employer.

What is the difference between Computer Science Manager vs Software Development Manager?

AspectComputer Science ManagerSoftware Development Manager
Required CredentialsBachelor's or Master's in Computer Science or related field; often certifications in project managementBachelor's or Master's in Computer Science, Software Engineering, or related field; project management certifications common
Work EnvironmentOversees technical teams, manages projects, and develops technical strategiesLeads software development teams, manages project timelines, and ensures product delivery
Employer & Industry UsageUsed across tech companies, research institutions, and IT departmentsCommon in software companies, tech startups, and enterprise IT divisions

The main difference is that a Computer Science Manager focuses on overseeing technical teams and research-driven projects, while a Software Development Manager concentrates on managing software projects and development processes. Both roles require strong technical backgrounds and leadership skills, but their focus areas differ slightly based on project scope and technical emphasis.

Which is the highest paid job in computer science?

The highest paid roles in computer science are often executive positions such as Chief Technology Officer (CTO) or Chief Information Officer (CIO), as well as specialized roles like AI Research Directors or Data Science Directors. These positions typically require extensive experience, advanced skills, and leadership responsibilities, and they can command salaries exceeding several hundred thousand dollars annually.

What are the most commonly searched types of Computer Science jobs in Charlotte, NC?

The most popular types of Computer Science jobs in Charlotte, NC are:

Decision Science Lead

Charlotte, NC • On-site

Truist
Finance and Insurance • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Key responsibilities

  • Lead analytical initiatives from data exploration through model development and insight generation.

  • Partner with stakeholders across strategy, product, technology, and data teams to deliver data-driven solutions.

  • Mentor and support Decision Scientists in high-impact analyses and initiatives.


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 124 frontline employees who took The Breakroom Quiz


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
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
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. 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.
2. 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.
3. 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.
4. 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.
5. Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
6. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
7. 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 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 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
3. 4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results
4. Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
5. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact
6. 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
7. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact
8. 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
9. 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:
1. Master's or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
3. 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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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019