Data Science Director Jobs in New York
Data Science Director jobs in New York are among the most actively recruited senior technology leadership positions in the country, concentrated in financial services, media, healthcare, and enterprise software across Manhattan, Brooklyn, and the greater New York City metro. Major employers with deep roots in New York hiring at this level include JPMorgan Chase, IBM, and Memorial Sloan Kettering Cancer Center. The most in-demand specialties are machine learning platform leadership, NLP and generative AI strategy, and data governance at scale. Find a role that fits below and apply directly.
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Senior Director, Data Science & AI
We are seeking a Senior Director, Data Science & AI to lead enterprise AI strategy, advanced analytics, machine learning, and Generative AI initiatives across multiple business domains. This leader will drive AI transformation programs, establish scalable AI operating models, and partner with executive stakeholders to accelerate innovation and business value realization.
The ideal candidate combines deep expertise in AI/ML, GenAI, data science, and cloud technologies with strong consulting, client-facing, and organizational leadership capabilities.
Key Responsibilities:
- Define and execute enterprise-wide AI, Data Science, and Generative AI strategies aligned with business objectives.
- Lead AI transformation programs spanning predictive analytics, NLP, Knowledge Graphs, Agentic AI, RAG, and intelligent automation.
- Build and scale AI Centers of Excellence, governance frameworks, MLOps practices, and AI operating models.
- Partner with executive leadership to identify, prioritize, and deliver high-value AI use cases.
- Oversee design and deployment of AI-powered products, platforms, and enterprise solutions across cloud environments.
- Lead cross-functional teams of Data Scientists, AI Engineers, Architects, Product Leaders, and Analytics professionals.
- Drive AI solution architecture, model lifecycle management, and enterprise adoption strategies.
- Serve as a trusted advisor to clients and business leaders, translating complex technical concepts into executive-level recommendations.
- Support business development, solutioning, RFP responses, and AI strategy workshops.
- Establish best practices for Responsible AI, governance, security, compliance, and scalable AI delivery.
Required Qualifications:
- 15+ years of experience in Data Science, Analytics, AI, Data Engineering, or Digital Transformation.
- 8+ years of leadership experience managing large-scale AI and analytics organizations.
- Deep expertise in:
- Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Agentic AI
- Retrieval-Augmented Generation (RAG)
- Knowledge Graphs
- NLP and Semantic Search
- Predictive Analytics
- MLOps
- Strong cloud experience across AWS, Azure, and/or GCP.
- Proven experience leading enterprise AI transformation initiatives from strategy through implementation.
- Strong executive communication and stakeholder management skills.
- Experience leading global teams and managing multimillion-dollar programs.
- Experience in Healthcare, Life Sciences, Pharma, Banking, Financial Services.
Preferred Qualifications:
- Experience building AI practices, innovation labs, or enterprise Data Science organizations.
- Familiarity with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks, Snowflake, MLflow, LangChain, vector databases, and modern AI ecosystems.
- Track record of driving revenue growth, client acquisition, and AI-related business development initiatives.
Success in This Role:
- Establishes AI as a strategic business capability across the enterprise.
- Delivers measurable business value through AI, automation, and advanced analytics.
- Builds scalable AI platforms and governance frameworks that accelerate adoption.
- Develops high-performing AI organizations and future technology leaders.
- Serves as an executive-level thought leader on AI strategy, innovation, and transformation.
Salary: 128,000-128,000 USD per year salary
Senior Director, Data Science & AI
We are seeking a Senior Director, Data Science & AI to lead enterprise AI strategy, advanced analytics, machine learning, and Generative AI initiatives across multiple business domains. This leader will drive AI transformation programs, establish scalable AI operating models, and partner with executive stakeholders to accelerate innovation and business value realization.
The ideal candidate combines deep expertise in AI/ML, GenAI, data science, and cloud technologies with strong consulting, client-facing, and organizational leadership capabilities.
Key Responsibilities:
- Define and execute enterprise-wide AI, Data Science, and Generative AI strategies aligned with business objectives.
- Lead AI transformation programs spanning predictive analytics, NLP, Knowledge Graphs, Agentic AI, RAG, and intelligent automation.
- Build and scale AI Centers of Excellence, governance frameworks, MLOps practices, and AI operating models.
- Partner with executive leadership to identify, prioritize, and deliver high-value AI use cases.
- Oversee design and deployment of AI-powered products, platforms, and enterprise solutions across cloud environments.
- Lead cross-functional teams of Data Scientists, AI Engineers, Architects, Product Leaders, and Analytics professionals.
- Drive AI solution architecture, model lifecycle management, and enterprise adoption strategies.
- Serve as a trusted advisor to clients and business leaders, translating complex technical concepts into executive-level recommendations.
- Support business development, solutioning, RFP responses, and AI strategy workshops.
- Establish best practices for Responsible AI, governance, security, compliance, and scalable AI delivery.
Required Qualifications:
- 15+ years of experience in Data Science, Analytics, AI, Data Engineering, or Digital Transformation.
- 8+ years of leadership experience managing large-scale AI and analytics organizations.
- Deep expertise in:
- Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Agentic AI
- Retrieval-Augmented Generation (RAG)
- Knowledge Graphs
- NLP and Semantic Search
- Predictive Analytics
- MLOps
- Strong cloud experience across AWS, Azure, and/or GCP.
- Proven experience leading enterprise AI transformation initiatives from strategy through implementation.
- Strong executive communication and stakeholder management skills.
- Experience leading global teams and managing multimillion-dollar programs.
- Experience in Healthcare, Life Sciences, Pharma, Banking, Financial Services.
Preferred Qualifications:
- Experience building AI practices, innovation labs, or enterprise Data Science organizations.
- Familiarity with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks, Snowflake, MLflow, LangChain, vector databases, and modern AI ecosystems.
- Track record of driving revenue growth, client acquisition, and AI-related business development initiatives.
Success in This Role:
- Establishes AI as a strategic business capability across the enterprise.
- Delivers measurable business value through AI, automation, and advanced analytics.
- Builds scalable AI platforms and governance frameworks that accelerate adoption.
- Develops high-performing AI organizations and future technology leaders.
- Serves as an executive-level thought leader on AI strategy, innovation, and transformation.
Salary: 128,000-128,000 USD per year salary
See All 108+ Data Science Director Jobs in New York
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Find Data Science Director JobsData Science Director Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Science Director Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Warner Bros. Discovery5
- Alvarez & Marsal4
- Aon3
- EY3
- HealixGlobal3
Top Industries Hiring
- Consulting & Professional Services17
- Technology & Software17
- Investment & Asset Management13
- Marketing & Advertising12
- Media & Entertainment11
What New York Employers Look For
The qualifications that appear most often in data science director jobs across New York.
- Advanced degree in data science, statistics, computer science, or a quantitative field
- Seven or more years of experience in data science with at least three in people management
- Proven ability to lead and grow cross-functional data science teams in complex organizations
- Deep expertise in machine learning, statistical modeling, and large-scale data infrastructure
- Experience communicating data strategy and outcomes to executive and board-level stakeholders
- Proficiency with cloud platforms such as AWS, Google Cloud, or Azure in production environments
Data Science Director Jobs in New York: Frequently Asked Questions
How do you become a data science director in New York?
Data science director roles in New York do not require a state-issued license or registration. The typical path starts with a graduate degree in a quantitative discipline, followed by progressive experience as an individual contributor and then a team lead or manager within a New York-based organization. Finance, healthcare, and media companies in New York often promote from within, so building a record leading projects with measurable business impact at a senior data scientist or principal level is the most reliable route to a director title.
How much do data science directors make in New York?
Data science directors in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science directors in New York?
Employers hiring data science directors in New York right now include Warner Bros. Discovery, Alvarez & Marsal, and Aon, based on current listings on Migrate Mate as of June 2026. New York's dense concentration of financial institutions, global media companies, and major health systems means director-level data science demand is distributed across multiple industries rather than dominated by a single sector.
Which New York cities have the most data science director jobs?
New York, Brooklyn, and Harrison account for the largest share of data science director openings in New York. Manhattan drives the majority of postings given its concentration of global financial firms, advertising technology companies, and major corporate headquarters, while Brooklyn and other areas reflect the growth of tech-focused companies and healthcare systems that have expanded their data operations in recent years.
Are there remote data science director jobs in New York?
Yes, and more than most fields. About 33% of data science director openings tied to New York are remote or hybrid as of June 2026, reflecting how central this role is to analytical and strategic work rather than on-site operations. The portions of the role most likely to remain fully remote are model development oversight, cross-team strategy, and vendor evaluation, while in-person expectations tend to apply to stakeholder alignment and executive reporting.
How can I get hired as a data science director in New York with little or no experience?
The most realistic path for candidates without director experience is moving laterally from a senior data scientist or lead machine learning engineer role within a New York organization that promotes internally. Large New York employers in financial services and healthcare frequently run formal rotational or leadership development programs that place high-performing senior contributors on a director track. Building a portfolio of cross-functional projects, presenting at internal forums, and taking on team mentorship responsibilities are the concrete steps that most consistently lead to a first director offer in New York.
Where can I find and apply to data science director jobs in New York?
You can find and apply to data science director jobs in New York on Migrate Mate, which lists current openings across the state. Search the listings, find roles that fit your background and goals, and apply directly to the ones that match.
See All 108+ Data Science Director Jobs in New York
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