Manager, Data Science - Agentic AI
LexisNexis
•
Raleigh, NC
0
0
0
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Not Applicable
Posted April 4, 2026
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Responsibilities
Commitments
Responsibilities
- Leading development of advanced AI Agentic tech.
- Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
- Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
- Analyzing large datasets to identify patterns and trends that can inform AI development
- Communicating findings and insights to stakeholders in a clear and concise manner
- Staying current with the latest AI and machine learning trends and technologies
- Mentoring junior data scientists and provide guidance on AI and machine learning best practices
- Driving best practices across our data science functions
- Setting strategy and team direction, with a clear vision for Data Science
- Working with product leaders to apply data science solutions.
- Evaluating and creating new frameworks and defining methodologies and governance
- Leading small- to medium-sized teams (direct or indirect)
- Setting a high bar for model development
Commitments
U.S.
Not Met Priorities
What still needs stronger evidence
Requirements
- 3+ years of people management experience.
- 7+ years of AI/ML experience.
- Significant experience in managing larger technical teams (direct or indirect)
- Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
- Be a natural problem solver, able to take a lead in collaborating to resolve issues
- Have excellent communication skills and the ability to convey information clearly to senior stakeholders
- Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
- Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
- Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
- Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
- Strong coding skills in Python or another programming language
Preferred Skills
- Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
- Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
- Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
- Experience with reinforcement learning, prompt engineering, hallucination mitigation
- Working understanding of the business risks associated with applying LLM in a business
- Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
- Strong coding skills in Python or another programming language
- Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
- Strong problem-solving skills and the ability to think outside the box
Join us in shaping a more just world!
About Our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About The Role
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
This is an exciting new opportunity for a Manager, Data Science – Agentic AI to lead the design and delivery of Agentic AI solutions within our Content Agentic Platform, enabling autonomous content creation and optimization to enhance customer engagement at scale.
Responsibilities
Leading development of advanced AI Agentic tech.
Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
Analyzing large datasets to identify patterns and trends that can inform AI development
Communicating findings and insights to stakeholders in a clear and concise manner
Staying current with the latest AI and machine learning trends and technologies
Mentoring junior data scientists and provide guidance on AI and machine learning best practices
Driving best practices across our data science functions
Setting strategy and team direction, with a clear vision for Data Science
Working with product leaders to apply data science solutions.
Evaluating and creating new frameworks and defining methodologies and governance
Leading small- to medium-sized teams (direct or indirect)
Setting a high bar for model development
Requirements
3+ years of people management experience.
7+ years of AI/ML experience.
Significant experience in managing larger technical teams (direct or indirect)
Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
Be a natural problem solver, able to take a lead in collaborating to resolve issues
Have excellent communication skills and the ability to convey information clearly to senior stakeholders
Highly Desired Skills and Experience:
Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
Experience with reinforcement learning, prompt engineering, hallucination mitigation
Working understanding of the business risks associated with applying LLM in a business
Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
Strong coding skills in Python or another programming language
Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
Strong problem-solving skills and the ability to think outside the box
U.S. National Base Pay Range: $115,400 - $192,300. 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.
About Our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About The Role
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
This is an exciting new opportunity for a Manager, Data Science – Agentic AI to lead the design and delivery of Agentic AI solutions within our Content Agentic Platform, enabling autonomous content creation and optimization to enhance customer engagement at scale.
Responsibilities
Leading development of advanced AI Agentic tech.
Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
Analyzing large datasets to identify patterns and trends that can inform AI development
Communicating findings and insights to stakeholders in a clear and concise manner
Staying current with the latest AI and machine learning trends and technologies
Mentoring junior data scientists and provide guidance on AI and machine learning best practices
Driving best practices across our data science functions
Setting strategy and team direction, with a clear vision for Data Science
Working with product leaders to apply data science solutions.
Evaluating and creating new frameworks and defining methodologies and governance
Leading small- to medium-sized teams (direct or indirect)
Setting a high bar for model development
Requirements
3+ years of people management experience.
7+ years of AI/ML experience.
Significant experience in managing larger technical teams (direct or indirect)
Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
Be a natural problem solver, able to take a lead in collaborating to resolve issues
Have excellent communication skills and the ability to convey information clearly to senior stakeholders
Highly Desired Skills and Experience:
Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
Experience with reinforcement learning, prompt engineering, hallucination mitigation
Working understanding of the business risks associated with applying LLM in a business
Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
Strong coding skills in Python or another programming language
Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
Strong problem-solving skills and the ability to think outside the box
U.S. National Base Pay Range: $115,400 - $192,300. 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.