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Director Computer Science Jobs in New York (NOW HIRING)

Artefact

Director, AI & Data Science

Manhattan, NY

Directing the build of robust agent harnesses - orchestration layers, evaluation frameworks ... Master's degree (or higher) in computer science, engineering, statistics/mathematics, or a related ...

Artefact

Director, AI & Data Science

Manhattan, NY · On-site

Directing the build of robust agent harnesses - orchestration layers, evaluation frameworks ... Master's degree (or higher) in computer science, engineering, statistics/mathematics, or a related ...

City of New York

Director (ACP)

Floral Park, NY

The NYC Department of Design and Construction is seeking to hire a Director to lead a team of ... COMPUTER SYSTEMS MANAGER - 10050 Qualifications 1. A master's degree in computer science from an ...

City of New York

Director (ACP)

Floral Park, NY · On-site

The NYC Department of Design and Construction is seeking to hire a Director to lead a team of ... COMPUTER SYSTEMS MANAGER - 10050 Qualifications 1. A master's degree in computer science from an ...

Lawrence Harvey

Director Anaplan

New York, NY · On-site

$230K - $301K/yr

Finance Transformation - FP&A Technology (Anaplan), Director A leading global professional services ... Degree in Accounting, Finance, Data Science/Analytics, Business Administration, Computer Science ...

THOMSON REUTERS

Director, Applied Research

New York, NY · On-site

Director, Applied Research Are you excited about working at the forefront of applied research in an ... About You You hold a PhD in Computer Science, Machine Learning, or a closely related field or a ...

NYULMC

Data Science Analyst/Engineer

New York, NY · On-site

... and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We ... PhD degree in a quantitative field (Biomedical Informatics, Computer Science, Machine Learning ...

Zocdoc

Director, Marketing Data Science

New York, NY · On-site +1

As Director, Marketing Data Science, you'll own the measurement strategy that determines how Zocdoc ... A Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine ...

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Director Computer Science information

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$23.5K

$94.8K

$215.9K

How much do director computer science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for director computer science in New York is $94,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,837.00 and $131,192.00 per year, depending on experience, location, and employer.

What does a director of computer science do?

A Director of Computer Science typically oversees the development, implementation, and management of computer science programs within an organization or academic institution. Their responsibilities may include setting strategic goals, managing faculty or technical teams, developing curriculum or technical standards, and ensuring that projects or programs align with organizational objectives. They also play a key role in budgeting, resource allocation, and fostering research or innovation in computer science. This leadership position requires strong technical expertise as well as management and communication skills.

What are the key skills and qualifications needed to thrive as a director of computer science?

To thrive as a Director of Computer Science, you need advanced knowledge in computer science, strong leadership experience, and typically a master's or doctoral degree in a related field. Familiarity with software development tools, project management platforms, and knowledge of current industry standards or certifications (such as PMP or Agile) are often required. Excellent communication, strategic thinking, and team-building skills distinguish top performers in this leadership role. These competencies are crucial for guiding technical teams, aligning projects with organizational goals, and driving innovation within the department.

What are some common challenges faced by a director of computer science when leading multidisciplinary teams?

A Director of Computer Science often leads teams that include software engineers, data scientists, and IT professionals, each with their own expertise and perspectives. One common challenge is fostering effective communication and collaboration among these diverse team members while aligning everyone to shared project goals. Additionally, keeping up with rapid technological advancements and ensuring that the team’s skills remain current can be demanding. Balancing administrative tasks with hands-on technical leadership is also a frequent challenge in this role.

What is the difference between Director Computer Science vs Software Engineering Manager?

AspectDirector Computer ScienceSoftware Engineering Manager
Required CredentialsBachelor's/Master's in Computer Science or related field; often advanced certificationsBachelor's/Master's in Computer Science or related field; relevant certifications
Work EnvironmentStrategic leadership, overseeing multiple teams or departmentsTeam management, project delivery, technical oversight
Employer & Industry UsageTech companies, academia, research institutionsTech firms, software development companies
Common Search & Comparison IntentUnderstanding leadership roles in computer scienceManaging software teams and projects

The Director Computer Science typically focuses on strategic leadership, overseeing multiple teams or departments, and shaping technical direction. In contrast, a Software Engineering Manager is more involved in managing software development teams, project execution, and technical mentoring. Both roles require strong technical backgrounds, but the Director role emphasizes broader organizational impact and strategic planning.

What are high paying jobs in computer science?

High-paying jobs in computer science include roles such as software engineering managers, solutions architects, data scientists, and machine learning engineers, often requiring advanced skills in programming, data analysis, and cloud computing. These positions typically offer six-figure salaries and may require relevant certifications and experience in specialized technologies or leadership. Salary levels vary based on industry, location, and experience, but these roles are among the top earners in the field.

What are the most commonly searched types of Computer Science jobs in New York?

The most popular types of Computer Science jobs in New York are:

What cities in New York are hiring for Director Computer Science jobs?

Cities in New York with the most Director Computer Science job openings:

Director Computer Science jobs near you

Director, AI & Data Science

LinkedIn Job Wrapping

Manhattan, NY • On-site

Full-time

Re-posted 9 days ago

Job description

About the job
Do you think like a management consultant, thrive in a startup environment, and can't stop thinking about the intersection of data, technology, and marketing?
With over 2000 employees, offices on five continents, and world-class clients like Samsung, L'Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We've recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team!
Who We Are
Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel.
We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.
Find out more at artefact.com.
What you will be doing
You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions - from classical machine learning models to LLM-powered applications - and the pipelines that power them. You'll bring senior technical judgment to architecture and model decisions, partner closely with clients and business stakeholders - including hands-on pre-sales work shaping proposals and solution designs - and define how context engineering, agent harnesses, and fine-tuning practices get embedded into every solution, while reporting into senior AI/technology leadership on strategy and priorities.
  • AI & ML Solution Architecture: Leading the design, build, and optimization of production AI systems - classical machine learning models, LLM applications, and agentic systems - ensuring scalability, reliability, and cost-efficient inference.
  • Context Engineering: Defining and standardizing context engineering practices - prompt and system design, RAG architectures, vector stores, memory management, and tool/function calling - so models receive the right information at the right time.
  • Harness Engineering: Directing the build of robust agent harnesses - orchestration layers, evaluation frameworks, guardrails, and observability - that make LLM systems reliable, safe, and measurable in production.
  • Fine-Tuning Pipelines: Leading the design and operation of fine-tuning and model adaptation pipelines - training data curation, supervised fine-tuning, evaluation, and deployment - to specialize models for client use cases.
  • Platform Stack: Architecting and deploying solutions on Google Gemini Enterprise and Vertex AI as the primary stack, applying working knowledge of Microsoft AI Foundry and AWS Bedrock where client contexts require.
  • Team Leadership: Managing, mentoring, and developing a team of AI & ML engineers; setting technical standards and fostering best practices and knowledge sharing.
  • Pre-Sales & Business Development: Supporting pre-sales activities - scoping engagements, building demos and proofs of concept, and presenting solution architectures to prospective clients alongside account teams.
  • Machine Learning Modeling: Overseeing the development of classical and modern ML models - predictive modeling, forecasting, recommendation, and deep learning - choosing the right technique for each business problem, LLM or not.
  • Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.

What we are looking for
  • The ideal candidate has a substantial Data Science and machine learning background with 8+ years of experience, including at least 2-3 years working on LLM architecture, agentic design, and harness & context engineering.
  • Expertise in generative AI/LLM engineering (context engineering, agent harnesses, RAG, and fine-tuning) and in classical machine learning modeling, with proven production deployments.
  • Master's degree (or higher) in computer science, engineering, statistics/mathematics, or a related field.
  • Hands-on command of core machine learning libraries (scikit-learn, XGBoost, etc.), agentic SDKs (LangGraph/LangChain, Google ADK, Claude Agent SDK), and fine-tuning frameworks (PyTorch, TensorFlow).
  • Experience building fine-tuning pipelines end to end: training data curation, supervised fine-tuning, evaluation, and deployment.
  • Solid grasp of AI system design: ML model lifecycle (MLOps), agents, tool use, evaluation harnesses, guardrails, and observability.
  • Deep experience with Google Gemini Enterprise / Vertex AI; basic working knowledge of Microsoft AI Foundry and AWS Bedrock.
  • Experience leading and growing engineering teams, and supporting pre-sales: proposals, demos, and solution scoping with clients.
  • Excellent communication skills and comfort collaborating across teams and with stakeholders.
  • Strong business acumen with an interest in business-facing work.
  • Adaptability and a start-up mentality to thrive in a dynamic environment.

Preferred:
  • Google Gemini Enterprise ecosystem (Vertex AI, Agent Builder) as the primary stack; basic knowledge of Microsoft AI Foundry and AWS Bedrock

Why Join Us
We are united by our values and strengthened by our hybrid expertise.
  • There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
  • Client trust is won on the field: Addressing client needs flows better hands on at their side.
  • If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
  • If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
  • We learn everyday: Tech is a land where everything moves at the speed of light, you better be ready to challenge yourself.

The estimated base compensation for this role starts at $200,000 (NYC location). Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for competitive benefits.

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