Senior Manager of Data Science

Datum Software, Inc

Raliigh, NC

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JOB DETAILS

SKILLS

Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Benchmarking, Best Practices, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Management, Data Processing, Data Science, Distributed Computing, Ecosystems, GCP (Good Clinical Practices), GitHub, Leadership, Legal, Machine Learning, Mentoring, Microsoft Windows Azure, Modeling Languages, Product Engineering, Product Management, Production Machining, Production Systems, Prototyping, Python Programming/Scripting Language, REST (Representational State Transfer), Scalable System Development, Standards Strategy, Statistics, Structured Data, Team Lead/Manager, Technical Delivery, Technical Presentation, Unstructured Data

LOCATION

Raliigh, NC

POSTED

24 days ago

Manager Data Science
Raleigh, NC (Hybrid 2 Days/Week)

Job Description:
We are seeking a hands-on Manager of Data Science to lead a high-impact team focused on developing AI-driven solutions across a large-scale content ecosystem. This role will lead the strategy, standards, and execution of applied AI initiatives while balancing innovation with real-world constraints such as latency, scalability, reliability, and cost.
The ideal candidate will have strong leadership capabilities combined with hands-on technical expertise in machine learning, large language models (LLMs), generative AI, and production-grade AI systems. This position requires close collaboration with cross-functional teams including engineering, product management, architecture, and domain experts.

Key Responsibilities:

Lead and mentor a team of Data Scientists and ML Engineers
Define and execute strategic AI initiatives and roadmaps
Drive applied research with a strong focus on production deployment
Build scalable evaluation frameworks, benchmarking pipelines, and feedback systems
Develop and deploy AI-powered solutions using LLMs, RAG pipelines, and agentic workflows
Design production-grade machine learning systems and reusable AI components
Collaborate across teams to maximize reusability and reduce duplication
Contribute hands-on through coding, prototyping, experimentation, and model development
Establish best practices for model evaluation, monitoring, prompt engineering, and feature engineering
Partner with engineering and product teams to integrate AI into distributed systems
Translate complex business requirements into scalable technical solutions
Present technical tradeoffs and delivery options to stakeholders
Support continuous delivery and monitoring of AI systems in production environments
Drive cross-functional collaboration with product, engineering, data, and business teams

Required Qualifications:

Bachelor’s degree in Computer Science, Data Science, Statistics, AI, or related field
Advanced degree (Master’s or PhD) preferred
8+ years of experience in Data Science, Machine Learning, or Applied AI
4+ years of leadership or team management experience
Strong experience with Python and ML/LLM frameworks such as TensorFlow, PyTorch, LangChain, and Google ADK
Experience with prompt engineering and generative AI technologies
Strong understanding of Retrieval-Augmented Generation (RAG) systems and agentic workflows
Experience with structured and unstructured data processing at scale
Familiarity with vector databases, knowledge graphs, and hybrid retrieval architectures
Experience designing data pipelines and machine learning workflows
Knowledge of REST APIs, CI/CD, containerization, and model serving tools
Cloud experience with AWS preferred; Azure or GCP acceptable
Familiarity with AI coding tools such as GitHub Copilot, Claude Code, or OpenAI Codex

Preferred Qualifications:

Experience in legal technology, legal AI, or document-intensive industries
Strong understanding of ethical and responsible AI practices
Proven experience building scalable AI platforms and production ML systems
Ability to lead through both technical expertise and organizational influence
Strong communication, collaboration, and stakeholder management skills

"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran”

Senior Manager of Data Science

Datum Software, Inc

Raliigh, NC

About the Company

Datum Software, Inc

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