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Head Data Science Jobs in Georgia (NOW HIRING)

... the Head of Residual Strategy will lead our residual value modeling and predictive valuation ... Bachelors degree in Data Science or related field such as Mathematics, Statistics or computer ...

... the Head of Residual Strategy will lead our residual value modeling and predictive valuation ... Bachelors degree in Data Science or related field such as Mathematics, Statistics or computer ...

... the Head of Residual Strategy will lead our residual value modeling and predictive valuation ... Bachelors degree in Data Science or related field such as Mathematics, Statistics or computer ...

Data Analyst

Atlanta, GA · On-site

$65K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collect, compile, clean, and analyze data from multiple sources to support Head Start grants ... Bachelor's degree in statistics, mathematics, economics, data science, or a related field. * 3+ ...

Data Analyst

Atlanta, GA

$70K - $75K/yr

  • Medical

  • Retirement

Head of Business Intelligence, Finance and Accounting Location: Atlanta, GA. (Hybrid: Monday ... Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative ...

Decision Science is the function that turns that signal into competitive advantage. The modeling ... P of Data, and working in close partnership with the Head of AI. The two functions are ...

Decision Science is the function that turns that signal into competitive advantage. The modeling ... P of Data, and working in close partnership with the Head of AI. The two functions are ...

Position Overview The Head of Product - Media OS, IQVIA Digital will own the vision, strategy ... Collaborate with Engineering, Data Science, Design, Sales, Marketing, Operations, and Client ...

Data Analyst

Atlanta, GA · On-site

$70K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Head of Business Intelligence, Finance and Accounting Location: Atlanta, GA. (Hybrid: Monday ... Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative ...

Head of AI Safety

Atlanta, GA · On-site

$110 - $145/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Head of AI Safety will serve as Moonshot's primary applied AI safety counterpart for frontier ... This is not an engineering or data-science role, but it is a hands‑on position requiring the ...

New

Head of AI Safety

Atlanta, GA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Head of AI Safety will serve as Moonshot's primary applied AI safety counterpart for frontier ... This is not an engineering or data-science role, but it is a hands-on position requiring the ...

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Showing results 1-20

Head Data Science information

See Georgia salary details

$17.5K

$85.7K

$158.7K

How much do head data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for head data science in Georgia is $85,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,683.00 and $115,931.00 per year, depending on experience, location, and employer.

What does a head data science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are some common challenges faced by a head data science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What are the key skills and qualifications needed to thrive as a head data science?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

What are the most commonly searched types of Data Science jobs in Georgia?

The most popular types of Data Science jobs in Georgia are:

Infographic showing various Head Data Science job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $85,683 per year, or $41.2 per hour.

Head of Business Data - Technology, Data, & Operations

Truist

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


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:The Head of Business Data is the executive leader for the quality of Technology, Data & Operations (TD&O) data and for how that data is used across the business unit. This role carries end-to-end responsibility for TD&O data, from authoritative source through certification and lineage to consumption, including business data governance, data management, reporting, and analytics.
This leader owns TD&O's adherence to the enterprise data governance policy: data ownership and accountability, business data stewardship, the inventory of data-critical business processes, critical data element identification and quality measurement, and the resolution of data issues and sub-issues. The role is accountable to governance requirements established by the Chief Data Governance Officer and partners with the Business Unit/Corporate Functions CDOs, the Chief Divisional Technology, Data, and Operations Officer, and division leaders to execute the business strategy in alignment with the enterprise data strategy. This is a critical role - TD&O's ability to run and modernize its operations depends on data the business unit can trust.
The leader also directs TD&O's use of that data to deliver management insight into performance and operations, including an advanced and nimble analytics capability that turns TD&O data into rapid, decision-grade insight, and the innovation agenda that comes with it across analytics, data science, and modeling. Making TD&O data ready for AI and agentic use is central to the role: certified, well-governed data is the precondition for AI consumption, in adherence with all related data management and AI governance requirements.
This is a senior leadership role. The Head of Business Data leads the TD&O data organization, including hiring, team development, delivery culture, and cross-functional execution, and represents TD&O in executive forums and senior committees, partnering, negotiating, and influencing across technology and business teams.

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. Develop and execute the business unit/corporate functions (BU/CF) data & analytics strategy and roadmap. This includes coordination with the Chief Business Execution & Risk Officer, BU/CF CDO, and the Chief Divisional Technology, Data, and Operations Officer to align the strategy with the business vision and priorities.
2. Partner across C-Level executive business leaders to transform the business through cultivating data driven decision-making and enabling data analytics to re-engineer processes to grow and sustain the business.
3. Coordinate with the Chief Data Governance Officer to align BU/CF roadmap to data governance priorities, roadmap, and risk/regulatory commitments.
4. Provide regular updates to C-Level BU/CF executives and business unit committees regarding progress across key business initiatives and data risk in relation to appetite.
5. Drive accountability within the BU/CF for data ownership and sound data management practices including partnering with business leaders to resolve open data issues and sub-issues.
6. Own and maintain the BU/CF inventory of data critical business process and partner with process owners to drive adherence to governance requirements.
7. Oversee the business data stewards and partner across the company to implement and sustain data governance requirements across data critical processes and critical data elements.
8. Oversee implementation of the enterprise data strategy within the BU/CF and partner with business leaders to drive modernization efforts, AI enablement, and consumption of data from governed data sources.
9. Manage and execute innovation across data analytics, data science (AI/ML), reporting and modeling.
10. Partner with the AI & Data Office to define the target state tools, solutions, and capabilities to execute on the business strategy.
11. Partner across Truist to achieve the business unit data strategy and roadmap objectives, while bringing best in class industry practices to improve people, process and technology.
12. Accountable to manage the business analytics, data science, data stewards and reporting teams that can span 50-200 teammates.
13. Maintain knowledge of emerging industry practices and technologies while bringing those new practices to Truist.

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. Undergraduate degree in either computer science, information systems, analytics, data engineering, finance or equivalent degree
2. Fifteen years of data management experience inclusive of driving enterprise data strategy, data execution, data engineering or software delivery
3. Expert problem solving skills and being able to define detailed strategies
4. Experience in financial services or payments industry
5. Experience in meeting regulatory obligations and operating in a highly regulatory environment
6. Experience partnering with C-Level executives to accomplish business objectives.

Preferred Qualifications:

. Expert in solution designs based upon business requirements

2. Experience in building financial services data strategy

3. Experience in leading business data governance across processes and solutions.

4. Experience in data architecture, solution architecture and/or designing enterprise business processes.

5. Skills demonstrated in data engineering, computer engineering, data transformation (ETL), digital transformation and cloud computing

6. DAMA CDMP certification (Practitioner or Master level).

7. Experience standing up a data product / data mesh operating model with federated governance.

8. Experience making data AI- and agentic-ready in a regulated setting, including adherence to all related data management, model, and AI governance requirements.

9. Experience owning data end-to-end, from authoritative source through certification, lineage, quality measurement, and consumption. This includes operational data such as application inventories, configuration management, entitlements, and incident and change records.

10. Experience building advanced and nimble business analytics capabilities that deliver rapid, decision-grade insight to executive leadership and support regulatory and board reporting.

The annual base salary for this position is $230,000 to $280,000

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.

EEO is the Law E-Verify IER Right to Work


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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