AI Jobs in New Jersey
AI jobs in New Jersey are concentrated in Newark, Princeton, and Jersey City, where employers like Johnson & Johnson, Cognizant, and Prudential Financial maintain significant technology operations and active AI hiring pipelines. Demand runs from entry-level machine learning engineers to senior AI research scientists, with the strongest specialties in natural language processing, computer vision, and AI-driven financial modeling. New Jersey's proximity to New York City and its dense concentration of pharmaceutical, financial services, and logistics companies make it one of the most active AI markets on the East Coast. See the openings below and apply to the ones that match your experience.
Find AI JobsOverview
Showing 5 of 6+ AI jobs
Summary
This enterprise role complements rather than replaces the Workforce Strategy Leads directly supporting DSAI teams within their units. Unit-level accountabilities remain unchanged, while this role connects across them, providing the overarching DSAI people strategy, standards and governance and enabling enterprise-level choices where these are needed.
About the Role
#Hybrid
This role can be based in Cambridge, East Hanover, London or Basel, please only apply to one of the appropriate location.
Key Responsibilities
- Set the enterprise DSAI people and organization strategy.
Translate the DSAI ambition into an integrated, future-ready agenda across workforce, organization, leadership, culture, talent and capability. Success is evident when: enterprise priorities and accountabilities are clear, adopted across units, and translated into measurable outcomes. - Shape strategic workforce and capability choices. Use scenarios, analytics, external insight and data storytelling to anticipate demand for scarce DSAI capabilities and recommend choices on organization design, skills, capacity, location, sourcing and workforce mix. Success is evident when: critical gaps are addressed before they constrain innovation or execution.
- Lead the enterprise DSAI OTR. Orchestrate the enterprise talent review, integrate perspectives across units, and present implications, choices and recommendations to ECN. Success is evident when: pivotal talent, succession, capability risks and enterprise actions are visible and actively managed.
- Establish enterprise talent and career approaches. Create differentiated career development, mobility, succession and talent-allocation mechanisms suited to DSAI roles and communities. Success is evident when: Novartis can attract, develop, deploy and retain pivotal DSAI talent across organizational boundaries.
- Build the external DSAI talent brand and pipeline. Strengthen Novartis’ visibility as an employer of choice through targeted engagement with universities, specialist talent networks and external forums. Build early-talent pathways that attract dual technical/scientific and DSAI expertise and develop judgement, experience and leadership capability. Success is evident when: Novartis has stronger external visibility and a sustainable pipeline of scarce DSAI talent.
- Design and create enterprise DSAI standards. Build new governance, rewards approaches, career architecture, capability frameworks, talent programs and operating approaches for a field evolving faster than established internal practices. Success is evident when: scalable standards replace fragmented local approaches and remain relevant as DSAI evolves.
- Connect enterprise strategy and unit execution. Define decision rights, interfaces and governance so the enterprise mandate is distinct from, and complementary to, unchanged unit-level P&O accountabilities. Success is evident when: there is no duplication or accountability gap between enterprise and unit roles.
- Influence a complex enterprise stakeholder system. Partner with at least nine ECN-1 leaders across R&D, Commercial, Operations and Global Functions, the Head of GDC, unit P&O Business Partners and Expertise Hubs to resolve enterprise trade-offs without relying on formal authority. Success is evident when: leaders move beyond unit optimization and commit to enterprise decisions.
- Redesign work for human-AI collaboration. Guide organization, role and workflow choices that enable responsible collaboration among people, automation and AI agents while sustaining accountability and a human-cantered employee experience. Success is evident when: adoption improves productivity, innovation and decision quality.
- Coach senior leaders, shape culture and lead transformation. Challenge and coach leaders through ambiguity, build commitment to new enterprise approaches, anticipate resistance and track adoption and benefits. Success is evident when: leadership behaviour, culture and ways of working support the DSAI strategy.
What you’ll bring to the role
Essential Criteria
- Extensive experience of progressive P&O/HR experience, including strategic partnership with executive and ECN-1 leaders in a complex global matrix.
- Strong organization design, strategic workforce planning and transformation experience, including scenario development and enterprise trade-off recommendations.
- Demonstrated experience creating global or enterprise-wide people strategies, standards, governance or programs, not only implementing established solutions.
- Evidence of leading enterprise talent reviews, succession and capability discussions with senior executive forums.
- Demonstrated ability to influence multiple senior stakeholders across business units, functions, countries and P&O disciplines without formal authority.
- Fluency in people analytics and confidence with AI-enabled tools, responsible AI principles and emerging work technologies.
Desirable Criteria
- Experience translating emerging technology, data science or digital strategy into workforce, organization and talent implications; direct DSAI sector experience is highly desirable.
- Relevant university degree or equivalent experience required; advanced qualification in business, organization, analytics, technology or a related discipline.
Benefits & Rewards
The salary for this position is expected to range between 204,400.00 - 379,600.00 USD Annual.
The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility & Reasonable Accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Summary
This enterprise role complements rather than replaces the Workforce Strategy Leads directly supporting DSAI teams within their units. Unit-level accountabilities remain unchanged, while this role connects across them, providing the overarching DSAI people strategy, standards and governance and enabling enterprise-level choices where these are needed.
About the Role
#Hybrid
This role can be based in Cambridge, East Hanover, London or Basel, please only apply to one of the appropriate location.
Key Responsibilities
- Set the enterprise DSAI people and organization strategy.
Translate the DSAI ambition into an integrated, future-ready agenda across workforce, organization, leadership, culture, talent and capability. Success is evident when: enterprise priorities and accountabilities are clear, adopted across units, and translated into measurable outcomes. - Shape strategic workforce and capability choices. Use scenarios, analytics, external insight and data storytelling to anticipate demand for scarce DSAI capabilities and recommend choices on organization design, skills, capacity, location, sourcing and workforce mix. Success is evident when: critical gaps are addressed before they constrain innovation or execution.
- Lead the enterprise DSAI OTR. Orchestrate the enterprise talent review, integrate perspectives across units, and present implications, choices and recommendations to ECN. Success is evident when: pivotal talent, succession, capability risks and enterprise actions are visible and actively managed.
- Establish enterprise talent and career approaches. Create differentiated career development, mobility, succession and talent-allocation mechanisms suited to DSAI roles and communities. Success is evident when: Novartis can attract, develop, deploy and retain pivotal DSAI talent across organizational boundaries.
- Build the external DSAI talent brand and pipeline. Strengthen Novartis’ visibility as an employer of choice through targeted engagement with universities, specialist talent networks and external forums. Build early-talent pathways that attract dual technical/scientific and DSAI expertise and develop judgement, experience and leadership capability. Success is evident when: Novartis has stronger external visibility and a sustainable pipeline of scarce DSAI talent.
- Design and create enterprise DSAI standards. Build new governance, rewards approaches, career architecture, capability frameworks, talent programs and operating approaches for a field evolving faster than established internal practices. Success is evident when: scalable standards replace fragmented local approaches and remain relevant as DSAI evolves.
- Connect enterprise strategy and unit execution. Define decision rights, interfaces and governance so the enterprise mandate is distinct from, and complementary to, unchanged unit-level P&O accountabilities. Success is evident when: there is no duplication or accountability gap between enterprise and unit roles.
- Influence a complex enterprise stakeholder system. Partner with at least nine ECN-1 leaders across R&D, Commercial, Operations and Global Functions, the Head of GDC, unit P&O Business Partners and Expertise Hubs to resolve enterprise trade-offs without relying on formal authority. Success is evident when: leaders move beyond unit optimization and commit to enterprise decisions.
- Redesign work for human-AI collaboration. Guide organization, role and workflow choices that enable responsible collaboration among people, automation and AI agents while sustaining accountability and a human-cantered employee experience. Success is evident when: adoption improves productivity, innovation and decision quality.
- Coach senior leaders, shape culture and lead transformation. Challenge and coach leaders through ambiguity, build commitment to new enterprise approaches, anticipate resistance and track adoption and benefits. Success is evident when: leadership behaviour, culture and ways of working support the DSAI strategy.
What you’ll bring to the role
Essential Criteria
- Extensive experience of progressive P&O/HR experience, including strategic partnership with executive and ECN-1 leaders in a complex global matrix.
- Strong organization design, strategic workforce planning and transformation experience, including scenario development and enterprise trade-off recommendations.
- Demonstrated experience creating global or enterprise-wide people strategies, standards, governance or programs, not only implementing established solutions.
- Evidence of leading enterprise talent reviews, succession and capability discussions with senior executive forums.
- Demonstrated ability to influence multiple senior stakeholders across business units, functions, countries and P&O disciplines without formal authority.
- Fluency in people analytics and confidence with AI-enabled tools, responsible AI principles and emerging work technologies.
Desirable Criteria
- Experience translating emerging technology, data science or digital strategy into workforce, organization and talent implications; direct DSAI sector experience is highly desirable.
- Relevant university degree or equivalent experience required; advanced qualification in business, organization, analytics, technology or a related discipline.
Benefits & Rewards
The salary for this position is expected to range between 204,400.00 - 379,600.00 USD Annual.
The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility & Reasonable Accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
See All 6 AI Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI JobsAI Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
AI Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
What New Jersey Employers Look For
The qualifications that appear most often in AI jobs across New Jersey.
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Proficiency in Python and familiarity with data pipelines and cloud platforms like AWS or Azure
- Experience deploying and monitoring machine learning models in production environments
- Strong background in statistics, linear algebra, and applied mathematics
- Ability to communicate model results and technical findings to non-technical stakeholders
AI Jobs in New Jersey: Frequently Asked Questions
How do you become a ai in New Jersey?
AI roles in New Jersey do not require a state-issued license, but most employers expect a bachelor's degree in computer science, data science, statistics, or engineering, with a master's degree strongly preferred for research-focused positions. Building a portfolio of applied projects, contributing to open-source repositories, and completing recognized machine learning certifications from institutions like Google, AWS, or Coursera strengthens candidacy significantly in the competitive New Jersey market.
Which companies hire ais in New Jersey?
New Jersey ai roles are posted by JPMorganChase, Novartis, and Qualcomm and others right now, based on current listings on Migrate Mate as of November 2026. New Jersey's high concentration of pharmaceutical, financial services, and enterprise technology firms means AI hiring is distributed across several large, established employers rather than concentrated in a single sector.
Which New Jersey cities have the most ai jobs?
Jersey City, New Jersey, and East Hanover have the most ai openings in New Jersey. Newark and Jersey City draw heavy hiring from financial services and enterprise technology firms, while Princeton anchors a research-oriented corridor tied to life sciences, consulting, and academic spin-offs that generate consistent demand for AI talent.
Are there remote ai jobs in New Jersey?
Yes, and more than most fields. About 0% of ai openings tied to New Jersey are remote or hybrid as of November 2026, reflecting how much of the work involves modeling, data analysis, and software development that can be done off-site. Roles focused on research, model development, and data engineering tend to offer the most remote flexibility, while positions requiring close collaboration with hardware or lab teams are more likely to be on-site.
How can I get hired as a ai in New Jersey with little or no experience?
The most realistic entry path is applying for associate data scientist or junior machine learning engineer roles at large New Jersey employers in pharmaceuticals and financial services, sectors that regularly bring on candidates from new-graduate programs. Johnson & Johnson, Prudential, and Cognizant run rotational technology programs and early-career tracks that accept candidates with strong academic backgrounds and project portfolios. Completing a relevant certification, contributing a documented GitHub project, or transitioning laterally from a data analyst or software engineer role in the same company are the concrete moves that open doors without prior AI job titles.
Where can I find and apply to ai jobs in New Jersey?
You can find and apply to ai jobs in New Jersey on Migrate Mate, which lists current New Jersey openings. Search the available roles, find the ones that fit your background and target location, and apply directly to the positions that match your experience.
See All 6 AI Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI Jobs