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Data Science Manager Jobs in Raleigh, NC (NOW HIRING)

We are seeking a Senior Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures . This role centers on delivering AI agents ...

What You'll Do Epic Games is looking for a hands-on Data Science Lead to join the Gameplay ... Partner with design, game development, and product management counterparts to identify ...

Prior experience in a technical lead or informal management capacity is strongly preferred. * Skills: * Expert-level proficiency in Python, with deep knowledge of the data science and ML ecosystem ...

Prior experience in a technical lead or informal management capacity is strongly preferred. * Skills: * Expert-level proficiency in Python, with deep knowledge of the data science and ML ecosystem ...

Prior experience in a technical lead or informal management capacity is strongly preferred. * Skills: * Expert-level proficiency in Python, with deep knowledge of the data science and ML ecosystem ...

Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ... manage production data pipelines. * Knowledge of CI/CD pipelines, version control (Git), and ...

Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ... manage production data pipelines. * Knowledge of CI/CD pipelines, version control (Git), and ...

Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities. * Team Management : Build, lead, and mentor a high-performing team ...

... Science & Analytics and Project management in Banking and Financial Services. • Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations ...

New

Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities. * Team Management : Build, lead, and mentor a high-performing team ...

Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities. * Team Management : Build, lead, and mentor a high-performing team ...

AI/ML Computational Science Manager

Raleigh, NC · On-site

$94.40K - $293.80K/yr

We Are:The beginning of a new Data & AI decade that will reshape work and society has begun ... As an Artificial Intelligence and Machine Learning Computational Science professional, you will ...

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Data Science Manager information

See Raleigh, NC salary details

$30.1K

$94.4K

$167.2K

How much do data science manager jobs pay per year?

As of May 28, 2026, the average yearly pay for data science manager in Raleigh, NC is $94,427.00, 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 a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.
What are the most commonly searched types of Data Science jobs in Raleigh, NC? The most popular types of Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Science Manager jobs? Cities near Raleigh, NC with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Raleigh, NC as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $94,427 per year, or $45.4 per hour.

Senior Manager Data Science

LexisNexis

Raleigh, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

147th of 424 rated business services


Job description

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **
About our Team:
LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case.
About LexisNexis Data Sciences:
At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence.
Role Overview:
We are seeking a Senior Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures. This role centers on delivering AI agents that generate legal documents, interpret contracts, and autonomously execute multi-step tasks across complex legal workflows.
You'll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants-capable of grounded reasoning, contextual document drafting, and interaction with structured and unstructured data sources.
Key Responsibilities:
Vision & Strategy:
  • Define the roadmap for applying LLMs and agentic AI to real-world legal drafting, summarization, and task automation challenges.
  • Evangelize and embed AI-driven change across legal product platforms.
  • Translate evolving generative AI capabilities into tangible customer value within the legal domain.

Technical & Product Leadership:
  • Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge.
  • Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs.
  • Lead evaluation of model performance for generation, summarization, classification, and dialogue-based workflows with legal constraints in mind.
  • Build scalable prompt engineering frameworks and manage fine-tuning or adaptation of models to legal datasets.

Team & Operational Excellence:
  • Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers.
  • Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design.
  • Establish best practices for evaluation, observability, and responsible use of generative AI.
  • Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments.

Core Qualifications:
Experience
  • Previous people management experience (3+ years) of teams building LLM-based applications, especially in domains requiring rigor and traceability like legal, finance, or compliance.
  • Hands-on experience delivering systems using LangChain, LLM agent frameworks, vector databases, and prompt orchestration pipelines.
  • Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses.
  • Demonstrated success in taking LLM-powered applications from prototype to production.

Technical Proficiency
  • Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques.
  • Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures.
  • Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve).
  • Cloud infrastructure experience on AWS, Azure, or GCP.

Preferred Background
  • Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience.
  • 10 years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems.
  • Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable.
  • Familiarity with ethical/legal considerations in deploying generative AI in professional settings.

Work in a way that works for you:
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business:
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
#AIFluency
U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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