Senior Manager, Data Science – Gen AI, Content Systems

This is a fully remote position, open to applicants in Illinois, +4 more states.

📋 Description

• Establish the vision and strategic objectives for Data Science within the content ecosystem.

• Lead and nurture a team of data scientists and ML engineers.

• Propel applied research from quick prototyping to production deployment.

• Develop and enhance offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems.

• Work collaboratively across Data Science teams to optimize component and pattern reuse.

• Coordinate with cross-functional teams, systems, and domains.

• Define and implement the AI roadmap throughout the content lifecycle.

• Design and launch production-grade AI systems, including LLM document understanding, agentic workflows, RAG pipelines, and hybrid ML/rules-based systems.

• Actively engage in coding, prototype development, and contribute to experiments and production models.

• Set best practices for model development, evaluation, monitoring, prompt engineering, data preparation, feature engineering, and reusable platform capabilities.

• Collaborate with engineering, architecture, and product leaders to incorporate AI into distributed systems while ensuring performance, scalability, and reliability.

• Convert ambiguous challenges into actionable project plans and guide teams to successful delivery.

• Present trade-offs, alternative methodologies, and options within delivery constraints.

• Mentor and develop a multidisciplinary team of Data Scientists and ML Engineers focusing on LLM.

• Foster collaboration with Legal SMEs, Data Engineers, Product Managers, and Design teams.

• Establish evaluation, observability, and ethical practices for generative AI.

• Oversee the infrastructure for continuous delivery and production monitoring of LLM systems.

⛳️ Requirements

• Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field is highly preferred, or equivalent practical experience.

• Bachelor’s degree in a relevant field with substantial applied experience in data science, machine learning, or AI.

• Over 8 years of relevant experience in data science, machine learning, or applied AI.

• More than 4 years of leadership experience, including direct or indirect team management.

• Proven technical depth, impact, and leadership abilities.

• Capability to select suitable tools and technologies for business challenges.

• Proficiency in Python.

• Expertise in ML and LLM tools such as Google ADK, LangChain, TensorFlow, PyTorch, and prompt tuning techniques.

• Familiarity with vector databases, knowledge graphs, and hybrid retrieval architectures.

• Strong background in handling structured and unstructured data at scale.

• Skill in designing and implementing data pipelines and preparation workflows.

• Experience in integrating ML into complex, multi-stage processing systems.

• Working knowledge of containerization, CI/CD, RESTful API design, and model serving tools.

• Experience with cloud infrastructure on AWS, Azure, or GCP.

• Familiarity with AI coding tools like GitHub Copilot, Claude Code, or OpenAI Codex.

• Over 8 years of post-degree experience, including more than 4 years in a data science or applied AI leadership role focused on NLP/LLM systems.

• Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable.

• Understanding of ethical and legal considerations for deploying generative AI in professional environments.

🏝️ Benefits

• Annual incentive bonus.

• Flexible working hours.

• Wellbeing initiatives.

• Shared parental leave.

• Study assistance.

• Sabbaticals.

• Comprehensive medical, dental, and vision benefits.

• 401(k) with company match.

• Employee Share Purchase Plan.

• Wellness platform with incentives.

• Subscription to the Headspace app.

• Employee Assistance and Time-off Programs.

• Short-and-Long Term Disability insurance.

• Life and Accidental Death Insurance.

• Critical Illness insurance.

• 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 year to participate in Employee Resource Groups and to volunteer with your chosen charity.