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Executive Data Scientist Jobs in Raleigh, NC (NOW HIRING)

Senior Systems Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

... executive readouts to accelerate technical win. • Competitive positioning • Understands the ... Proven experience architecting and delivering data management, analytics, or data science solutions ...

The Position We are seeking an experienced Project Executive who will serve as the owners ... Exceptional communication skills, both verbal and written, with an ability to present data clearly ...

The Position We are seeking an experienced Project Executive who will serve as the owners ... Exceptional communication skills, both verbal and written, with an ability to present data clearly ...

The Position We are seeking an experienced Project Executive who will serve as the owners ... Exceptional communication skills, both verbal and written, with an ability to present data clearly ...

The Position We are seeking an experienced Project Executive who will serve as the owners ... Exceptional communication skills, both verbal and written, with an ability to present data clearly ...

Showing results 21-40

Executive Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do executive data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for executive data scientist in Raleigh, NC is $160,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,200.00 per year, depending on experience, location, and employer.

How does an executive data scientist typically collaborate with leadership and cross-functional teams?

Executive Data Scientists play a strategic role by bridging the gap between data science teams and organizational leadership. They regularly translate complex analytical insights into actionable business recommendations for executives, and work closely with stakeholders across departments such as IT, marketing, and operations. This collaboration ensures that data-driven initiatives align with business objectives and that projects receive the resources and support needed for success. Effective communication and stakeholder management are key aspects of the role, as is mentoring junior data scientists and fostering a culture of innovation.

What are the key skills and qualifications needed to thrive as an executive data scientist, and why are they important?

To thrive as an Executive Data Scientist, you need advanced expertise in data analytics, machine learning, and statistical modeling, usually backed by a master's or PhD in a quantitative field. Familiarity with big data platforms (like Hadoop or Spark), programming languages (Python, R), and data visualization tools, along with certifications such as Certified Analytics Professional (CAP), is highly valued. Leadership, strategic thinking, and the ability to communicate complex insights to non-technical stakeholders are crucial soft skills for this role. These skills ensure effective data-driven decision-making at the executive level, driving business innovation and competitive advantage.

What is the difference between Executive Data Scientist vs Data Scientist?

AspectExecutive Data ScientistData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic roles, leadership teams, executive meetingsData analysis, model development, technical tasks
Employer & Industry UsageSenior roles in tech, finance, healthcare, and large enterprisesStartups, tech companies, research institutions

Executive Data Scientists focus on strategic decision-making and leadership, often overseeing data teams and aligning data initiatives with business goals. Data Scientists primarily handle technical data analysis, modeling, and insights generation. While both roles require strong analytical skills, Executive Data Scientists combine technical expertise with leadership and strategic planning, making them suitable for senior management positions.

What is the role of an executive data scientist?

An executive data scientist leads data analysis projects, develops strategic insights, and communicates findings to senior management. They often oversee teams, align data initiatives with business goals, and utilize advanced tools like machine learning and data visualization to support decision-making.

What is an executive data scientist?

An Executive Data Scientist is a senior-level professional who leads data science initiatives within an organization. They are responsible for setting strategic direction, overseeing large-scale data projects, and bridging the gap between technical data teams and business leadership. Their role involves not only advanced analytics and modeling but also communicating insights to stakeholders and ensuring data-driven decisions align with business goals. Executive Data Scientists often manage teams, influence company data strategy, and play a key role in driving innovation and digital transformation.
What are the most commonly searched types of Data Scientist jobs in Raleigh, NC? The most popular types of Data Scientist jobs in Raleigh, NC are:
What are popular job titles related to Executive Data Scientist jobs in Raleigh, NC? For Executive Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Executive Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Executive Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Executive Data Scientist jobs? Cities near Raleigh, NC with the most Executive Data Scientist job openings:

Head of Business Data - Technology, Data, & Operations

Truist

Raleigh, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Truist rating

7.9

Company rating: 7.9 out of 10

Based on 118 frontline employees who took The Breakroom Quiz

78th 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