Manager Data Science
Raleigh, NC · On-site
The Manager, Data Science will lead the development of advanced AI and machine learning models ... scientists and engineers to design, develop, and deploy AI solutions. • Work with cross ...
Manager Data Science
Raleigh, NC · On-site
The Manager, Data Science will lead the development of advanced AI and machine learning models ... scientists and engineers to design, develop, and deploy AI solutions. • Work with cross ...
Data Engineer
Raleigh, NC · On-site +1
$111K - $133K/yr
Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns. Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source ...
Data Engineer
Raleigh, NC · On-site +1
$111K - $133K/yr
Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns. Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source ...
Manager Data Science
Raleigh, NC · On-site +1
$115K - $192K/yr
... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...
Manager Data Science
Raleigh, NC · On-site +1
$115K - $192K/yr
... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...
Manager Data Science
Raleigh, NC · On-site +1
$115K - $192K/yr
... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...
Manager Data Science
Raleigh, NC · On-site +1
$115K - $192K/yr
... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...
Data Engineer
Durham, NC · On-site +1
$110K - $132K/yr
Working closely with senior data engineering leadership, data architecture, analytics engineering ... Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and ...
Data Engineer
Durham, NC · On-site +1
$110K - $132K/yr
Working closely with senior data engineering leadership, data architecture, analytics engineering ... Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and ...
Data Engineer
Durham, NC · On-site
$110K - $132K/yr
Working closely with senior data engineering leadership, data architecture, analytics engineering ... Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and ...
Data Engineer
Durham, NC · On-site
$110K - $132K/yr
Working closely with senior data engineering leadership, data architecture, analytics engineering ... Manage ad hoc data requests with accuracy and efficiency while maintaining data integrity and ...
Manager Data Science
Raleigh, NC · On-site
$115K - $192K/yr
... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...
Manager Data Science
Raleigh, NC · On-site
$115K - $192K/yr
... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...
Manager Data Science
Raleigh, NC · On-site
$115K - $192K/yr
... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...
Manager Data Science
Raleigh, NC · On-site
$115K - $192K/yr
... As a Manager, Data Science, you will be a subject matter expert, defining projects and their ... You will work closely with other data scientists and engineers to design, develop, and deploy ...
Data Engineer
$90K - $150K/yr
This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...
Data Engineer
$90K - $150K/yr
This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...
Data Engineer
Cary, NC · On-site
$106K - $127K/yr
This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...
Data Engineer
Cary, NC · On-site
$106K - $127K/yr
This includes building ingestion pipelines, managing data stores, implementing quality and ... Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to ...
Data Engineer
Durham, NC · On-site
$103K - $124K/yr
... management, trading, research, and operations functions. You will work with large-scale data platforms and collaborate with cross-functional teams to deliver high-quality data engineering solutions ...
Data Engineer
Durham, NC · On-site
$103K - $124K/yr
... management, trading, research, and operations functions. You will work with large-scale data platforms and collaborate with cross-functional teams to deliver high-quality data engineering solutions ...
AI Platform Director- Data Engineering
Raleigh, NC · On-site
$245K/yr
Define enterprise standards for MLOps, feature stores, and model lifecycle management * Build and ... Data & Engineering Collaboration * Partner with data engineering teams to ensure high-quality ...
AI Platform Director- Data Engineering
Raleigh, NC · On-site
$245K/yr
Define enterprise standards for MLOps, feature stores, and model lifecycle management * Build and ... Data & Engineering Collaboration * Partner with data engineering teams to ensure high-quality ...
Define enterprise standards for MLOps, feature stores, and model lifecycle management * Build and ... Data & Engineering Collaboration * Partner with data engineering teams to ensure high-quality ...
Define enterprise standards for MLOps, feature stores, and model lifecycle management * Build and ... Data & Engineering Collaboration * Partner with data engineering teams to ensure high-quality ...
Define enterprise standards for MLOps, feature stores, and model lifecycle management * Build and ... Data & Engineering Collaboration * Partner with data engineering teams to ensure high-quality ...
Define enterprise standards for MLOps, feature stores, and model lifecycle management * Build and ... Data & Engineering Collaboration * Partner with data engineering teams to ensure high-quality ...
AI Platform Director- Data Engineering
Raleigh, NC · On-site
$245K/yr
Define enterprise standards for MLOps, feature stores, and model lifecycle management * Build and ... Data & Engineering Collaboration * Partner with data engineering teams to ensure high-quality ...
AI Platform Director- Data Engineering
Raleigh, NC · On-site
$245K/yr
Define enterprise standards for MLOps, feature stores, and model lifecycle management * Build and ... Data & Engineering Collaboration * Partner with data engineering teams to ensure high-quality ...
Data Engineer
$111K - $133K/yr
... data engineering practice) to deliver analytics-ready data. * Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field ...
Data Engineer
$111K - $133K/yr
... data engineering practice) to deliver analytics-ready data. * Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field ...
Data Engineer - Senior Manager
$124K - $280K/yr
In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...
Data Engineer - Senior Manager
$124K - $280K/yr
In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...
Google is a leader in cloud technology and is seeking a Customer Engineering Manager for Data Analytics. In this role, you will lead a team of technical experts to provide solution advice to ...
Google is a leader in cloud technology and is seeking a Customer Engineering Manager for Data Analytics. In this role, you will lead a team of technical experts to provide solution advice to ...
Google is a leading cloud technology company, and they are seeking a Customer Engineering Manager for Data Analytics to lead a team of technical experts. The role involves providing technical and ...
Google is a leading cloud technology company, and they are seeking a Customer Engineering Manager for Data Analytics to lead a team of technical experts. The role involves providing technical and ...
AI Data Engineer
Durham, NC · On-site
$110K - $132K/yr
You'll work at the intersection of data engineering, analytics, and emerging AI use cases ... Develop and manage scalable, reusable data pipelines that integrate data from institutional systems ...
AI Data Engineer
Durham, NC · On-site
$110K - $132K/yr
You'll work at the intersection of data engineering, analytics, and emerging AI use cases ... Develop and manage scalable, reusable data pipelines that integrate data from institutional systems ...
Manager Data Engineering information
See Raleigh, NC salary details
$30.1K - $42.6K
7% of jobs
$42.6K - $55.1K
8% of jobs
$63.4K is the 25th percentile. Wages below this are outliers.
$55.1K - $67.5K
14% of jobs
$67.5K - $80K
18% of jobs
The median wage is $82.2K / yr.
$80K - $92.4K
15% of jobs
$92.4K - $104.9K
7% of jobs
$114.2K is the 75th percentile. Wages above this are outliers.
$104.9K - $117.4K
7% of jobs
$117.4K - $129.8K
6% of jobs
$129.8K - $142.3K
6% of jobs
$142.3K - $154.7K
4% of jobs
$154.7K - $167.2K
6% of jobs
$30.1K
$94.4K
$167.2K
How much do manager data engineering jobs pay per year?
As of Jun 27, 2026, the average yearly pay for manager data engineering in Raleigh, NC is $94,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $122,000.00 per year, depending on experience, location, and employer.
What is the difference between Manager Data Engineering vs Data Engineer?
| Aspect | Manager Data Engineering | Data Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, Data Science, or related; often leadership experience | Bachelor's or higher in CS, IT, or related; technical certifications optional |
| Work Environment | Team leadership, project management, strategic planning | Data pipeline development, coding, data modeling |
| Employer & Industry Usage | Tech companies, finance, healthcare, where data teams are common | Data-focused roles across various industries |
The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.
What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?
To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.
What are Manager Data Engineering roles and responsibilities?
A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.
How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?
A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Raleigh, NC? The most popular types of Data Engineering jobs in Raleigh, NC are:
What are popular job titles related to Manager Data Engineering jobs in Raleigh, NC? For Manager Data Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Raleigh, NC look for? The top searched job categories for Manager Data Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Manager Data Engineering jobs? Cities near Raleigh, NC with the most Manager Data Engineering job openings:
Full-time
This job post has expired 1 day ago. Applications are no longer accepted.
LexisNexis rating
7.6
Based on 12 frontline employees who took The Breakroom Quiz
151st of 430 rated business services
Job description
Job Summary:
LexisNexis is a global provider of information-based analytics and decision tools for professional and business customers. The Manager, Data Science will lead the development of advanced AI and machine learning models, mentor teams, and ensure AI solutions align with business goals. This role involves collaborating with cross-functional teams, analyzing large datasets, and driving best practices in data science.
Responsibilities:
• Lead the development of advanced AI and machine learning models to solve complex business problems.
• Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.
• Work with cross-functional teams to ensure AI solutions align with business goals and customer needs.
• Analyze large datasets to identify patterns and trends that inform AI development.
• Communicate findings and insights to stakeholders in a clear and concise manner.
• Stay current with the latest AI and machine learning trends and technologies.
• Mentor junior data scientists and provide guidance on best practices.
• Drive best practices across data science functions.
• Set strategy and team direction, with a clear vision for Data Science.
• Work with product leaders to apply data science solutions.
• Evaluate and create new frameworks, define methodologies and governance.
• Lead small- to medium-sized teams (direct or indirect).
• Set a high bar for model development.
Qualifications:
Required:
• Substantial experience in a senior data scientist role.
• Experience leading complex projects and customer relationships.
• Significant experience managing larger technical teams (direct or indirect).
• Experience mentoring or training others, acting as a subject matter expert.
• Natural problem solver, able to lead collaboration to resolve issues.
• Excellent communication skills, able to convey information clearly to senior stakeholders.
Preferred:
• PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• 5 + years of people management experience.
• 10 + years of experience in AI and machine learning.
• Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.
• Experience with design and delivery of Agentic AI solutions.
• Experience with large language models and Transformer-based architectures (BERT, RoBERTa, T5, etc.).
• Working knowledge of recent LLMs (ChatGPT, GPT 3.5, OPT, BLOOM, etc.).
• Experience with reinforcement learning, prompt engineering, hallucination mitigation.
• Understanding of business risks associated with applying LLMs.
• Experience with large datasets and distributed computing systems (Hadoop, Spark).
• Strong coding skills in Python or another programming language.
• Excellent communicator, able to translate complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills and the ability to think outside the box.
Company:
LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate businesses. It is a sub-organization of RELX. Founded in 1970, the company is headquartered in Albany, USA, with a team of 10001+ employees. The company is currently Late Stage.
LexisNexis is a global provider of information-based analytics and decision tools for professional and business customers. The Manager, Data Science will lead the development of advanced AI and machine learning models, mentor teams, and ensure AI solutions align with business goals. This role involves collaborating with cross-functional teams, analyzing large datasets, and driving best practices in data science.
Responsibilities:
• Lead the development of advanced AI and machine learning models to solve complex business problems.
• Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.
• Work with cross-functional teams to ensure AI solutions align with business goals and customer needs.
• Analyze large datasets to identify patterns and trends that inform AI development.
• Communicate findings and insights to stakeholders in a clear and concise manner.
• Stay current with the latest AI and machine learning trends and technologies.
• Mentor junior data scientists and provide guidance on best practices.
• Drive best practices across data science functions.
• Set strategy and team direction, with a clear vision for Data Science.
• Work with product leaders to apply data science solutions.
• Evaluate and create new frameworks, define methodologies and governance.
• Lead small- to medium-sized teams (direct or indirect).
• Set a high bar for model development.
Qualifications:
Required:
• Substantial experience in a senior data scientist role.
• Experience leading complex projects and customer relationships.
• Significant experience managing larger technical teams (direct or indirect).
• Experience mentoring or training others, acting as a subject matter expert.
• Natural problem solver, able to lead collaboration to resolve issues.
• Excellent communication skills, able to convey information clearly to senior stakeholders.
Preferred:
• PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• 5 + years of people management experience.
• 10 + years of experience in AI and machine learning.
• Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.
• Experience with design and delivery of Agentic AI solutions.
• Experience with large language models and Transformer-based architectures (BERT, RoBERTa, T5, etc.).
• Working knowledge of recent LLMs (ChatGPT, GPT 3.5, OPT, BLOOM, etc.).
• Experience with reinforcement learning, prompt engineering, hallucination mitigation.
• Understanding of business risks associated with applying LLMs.
• Experience with large datasets and distributed computing systems (Hadoop, Spark).
• Strong coding skills in Python or another programming language.
• Excellent communicator, able to translate complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills and the ability to think outside the box.
Company:
LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate businesses. It is a sub-organization of RELX. Founded in 1970, the company is headquartered in Albany, USA, with a team of 10001+ employees. The company is currently Late Stage.