Sr. Manager Of Data Science

Top Skills' Details
Data Science, Machine Learning, Applied AI, Leadership
Description
Role Overview:
We are seeking a hands-on Senior Manager of Data Science to lead a high-impact team in developing the strategy, standards, and execution of AI across our content ecosystem. You will lead a team that embeds machine learning and generative AI directly into production systems operating at scale. This applied research role balances innovation with practical constraints (e.g. latency, cost, reliability), requiring a strong ability to quickly iterate on prototypes (e.g. "vibe coding"), communicate tradeoffs, and rapidly deploy to production environments. This role is central to our transformation toward an intelligent, agent-enabled content platform which is capable of grounded reasoning, turning structured and unstructured data sources into legal knowledge.
Key Responsibilities: Scope & Impact
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

Team & Operational Excellence:
Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers.
Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design.
Establish best practices for evaluation, observability, and responsible use of generative AI.
Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments.

Core Qualifications: Experience & Education
Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience
Bachelor's degree in a relevant field with significant applied experience in data science, machine learning, or AI
Typically requires:
8+ years of relevant experience in data science, machine learning, or applied AI
4+ years of leadership experience (direct or indirect team management)
We recognize that exceptional candidates may follow non-traditional paths and value demonstrated impact, technical depth, and leadership over strict credential requirements.
Success in this role requires:
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 Google Cloud Platform.
Familiarity with AI Coding Tools (e.g. GitHub CoPilot, Claude Code, OpenAI Codex)

Preferred Background
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 settings.
Skills
Cloud, Software development, data science, machine learning, applied ai, Engineering
Top Skills Details
Cloud, Software development, data science, machine learning ,applied ai
Additional Skills & Qualifications
Position Location: Raleigh, NC- Hybrid 2 days/week in office
** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining.
Experience Level
Expert Level
Job Type & Location
This is a Contract to Hire position based out of Raleigh, NC.
Pay and Benefits
The pay range for this position is $85.00 - $96.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Raleigh,NC.
Application Deadline
This position is anticipated to close on Jul 7, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.