We have partnered with our client in their search for a Senior Manager of Data Science in Raleigh, NC.
Responsibilities
- 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
Skills Required
- 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, LangChain, ML Frameworks (e.g. TensorFlow, 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. GitHub CoPilot, Claude Code, OpenAI Codex)
Education & Work Experience
- 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
Ref ID
About Korn Ferry
Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com
