Senior Manager of Data Science

We have partnered with our client in their search for a Senior Manager of Data Science in Raleigh, NC.

• Set the vision and strategic priorities, acting as a recognized expert for Data Science
• Lead and develop a team of data scientists and ML engineers, setting the cultural tone for the group
• Drive applied research with a clear path to production
  , explicitly balancing innovation against real-world constraints including latency, cost, and reliability
• Build and scale evaluation science capabilities within the team, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems to rigorously measure model quality and business impact
• Champion hands-on rapid prototyping and iteration
• Collaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customization
• Operate with broad scope, coordinating across multiple cross-functional teams, systems, and domains
• Technical & Product Leadership:
  • Collaborate closely with other Data Science teams, to define and execute the AI roadmap across the content lifecycle
    , maximizing reuse in areas including:
    • Content collection (e.g. "web scraping") and transformation
    • Metadata extraction, enrichment, and classification
    • Agentic workflows turning real-world events and legal content into legal intelligence
    • AI-powered downstream product capabilities
  • Design and deploy scalable,
    production-grade AI systems
    , including:
    • LLM-powered document understanding and generation
    • Agentic workflows balancing agent autonomy and efficiency with required structure and accuracy
    • Retrieval-augmented generation (RAG) pipelines
    • Hybrid ML + rules-based systems for structured content
  • Lead through execution and by example:
    • Actively writing code, not just delegating
    • Building and demoing working prototypes (e.g. by "vibe coding")
    • Directly contributing to experiments and production models
  • Establish and scale best practices in Data Science
    , including:
    • Model development, evaluation, and monitoring
    • Prompt engineering and experimentation frameworks
    • Data preparation and feature engineering standards
    • Reusable components and platform capabilities
  • Partner closely with engineering, architecture, and product leaders to:
    • Integrate AI into large-scale distributed systems
    • Ensure performance, scalability, and reliability
    • Align technical solutions with business outcomes
  • Translate complex, ambiguous problems into clear project plans and executable solutions
    , and lead teams through delivery
  • Present tradeoffs, alternative approaches and options when faced with delivery constraints

• Leading through both technical expertise and organizational influence
• Acting as a change agent
  , embedding best practices into workflows and systems
• Driving both team development and strategic outcomes across a broad scope
• Ability to select the right tools and technologies to solve business problems
• Technical Proficiency
• Proficient with Python, ML and LLM tooling such as Google ADK, Lang Chain, ML Frameworks (e.g. Tensor Flow, PyTorch) and prompt tuning techniques.
• Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture.
• Strong experience working with structured and unstructured data at scale
  .
• Ability to design and implement data pipelines and preparation workflows.
• Experience integrating ML into complex, multi-stage processing systems
• Working knowledge of containerization, CI/CD, RESTful API Design and model serving tools.
• Cloud infrastructure experience on AWS (preferred), Azure, or GCP.
• Familiarity with AI Coding Tools (e.g. Git Hub CoPilot, Claude Code, OpenAI Codex)

• Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience.
• 8+ 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 setting

Title:

Senior Manager of Data Science

Location:

Raleigh, NC

Client Industry: Legal and Professional