AI Data Engineer Jobs in New Jersey
AI Data Engineer jobs in New Jersey are in strong demand, with concentrated hiring in financial services, pharmaceuticals, and telecommunications across experience levels from entry-level through senior and principal. The most active hiring metros are Jersey City, Newark, and Princeton, where employers like Johnson & Johnson, Cognizant, and Prudential Financial have established technology centers. The most sought-after specialties include large language model pipeline development, real-time data infrastructure, and MLOps. Find a role that fits below and apply directly.
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As a Lead Technical Program Manager - Payment Data and AI Platform at JPMorgan Chase within the Commercial and Investment Banking – Data Analytics Payments Team, you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. Leveraging your deep knowledge of technical principles, practices, and theories is essential for developing innovative solutions, while simultaneously effectively managing resources, budgets, and high-performing teams. Your strong analytical reasoning and adaptability skills will enable you to navigate through ambiguity and change, ensuring that technology initiatives align with business goals. With advanced communication and stakeholder management abilities, you will foster productive working relationships and influence decision-making to achieve mutually beneficial outcomes. As a subject matter expert, you will contribute to the development of operational plans and risk management strategies, ensuring the highest quality and professionalism in service delivery.
Job responsibilities
- Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure on-time delivery of technology solutions
- Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs and handling data according to sensitivity requirements.
- Identify and mitigate risks, proactively addressing potential roadblocks and implementing contingency plans to maintain project and program momentum
- Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to define program scope, objectives, and deliverables, ensuring alignment with overall business goals
- Utilize advanced analytical reasoning to assess program performance, identify areas for improvement, and implement data-driven optimizations to enhance efficiency and effectiveness
- Champion agile delivery practices and continuous improvement, fostering a culture of continuous learning and innovation within the team
- Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.
- 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.
- Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients
- Proven track record of effectively managing resources, budgets, and high-performing teams in a fast-paced, agile environment
- Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities
- Proven ability to manage workload priorities in a fast-paced, priority-drive environment
- Experience with vendor management and Cross-functional collaboration
- Advance skills in process documentation and operational excellence
- Previous experience in financial institution is a plus.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
As a Lead Technical Program Manager - Payment Data and AI Platform at JPMorgan Chase within the Commercial and Investment Banking – Data Analytics Payments Team, you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. Leveraging your deep knowledge of technical principles, practices, and theories is essential for developing innovative solutions, while simultaneously effectively managing resources, budgets, and high-performing teams. Your strong analytical reasoning and adaptability skills will enable you to navigate through ambiguity and change, ensuring that technology initiatives align with business goals. With advanced communication and stakeholder management abilities, you will foster productive working relationships and influence decision-making to achieve mutually beneficial outcomes. As a subject matter expert, you will contribute to the development of operational plans and risk management strategies, ensuring the highest quality and professionalism in service delivery.
Job responsibilities
- Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure on-time delivery of technology solutions
- Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs and handling data according to sensitivity requirements.
- Identify and mitigate risks, proactively addressing potential roadblocks and implementing contingency plans to maintain project and program momentum
- Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to define program scope, objectives, and deliverables, ensuring alignment with overall business goals
- Utilize advanced analytical reasoning to assess program performance, identify areas for improvement, and implement data-driven optimizations to enhance efficiency and effectiveness
- Champion agile delivery practices and continuous improvement, fostering a culture of continuous learning and innovation within the team
- Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.
- 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.
- Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients
- Proven track record of effectively managing resources, budgets, and high-performing teams in a fast-paced, agile environment
- Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities
- Proven ability to manage workload priorities in a fast-paced, priority-drive environment
- Experience with vendor management and Cross-functional collaboration
- Advance skills in process documentation and operational excellence
- Previous experience in financial institution is a plus.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See All 48 AI Data Engineer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
AI Data Engineer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
- Fintech
- Food & Beverage
What New Jersey Employers Look For
The qualifications that appear most often in AI data engineer jobs across New Jersey.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Proficiency in Python and SQL with experience building production-grade data pipelines
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Experience designing and maintaining data architectures that support machine learning workflows
- Familiarity with orchestration tools such as Apache Airflow, dbt, or Spark
- Strong understanding of MLOps practices including model deployment, monitoring, and versioning
AI Data Engineer Jobs in New Jersey: Frequently Asked Questions
How do you become a ai data engineer in New Jersey?
Becoming an ai data engineer in New Jersey typically starts with a bachelor's degree in computer science, data science, or a related field, though many employers also consider candidates with equivalent technical bootcamp training and a strong project portfolio. New Jersey does not require a state-issued license for this role. Most candidates build hands-on experience through academic projects, open-source contributions, or internships with the state's large pharmaceutical and financial services employers before moving into full roles.
How much do AI data engineers make in New Jersey?
AI data engineers in New Jersey earn a median of about $135,280 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,720 for the lowest 10% to over $203,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in New Jersey?
Employers hiring ai data engineers in New Jersey right now include JPMorganChase, Wipro, and Innodata, based on current listings on Migrate Mate as of September 2026. New Jersey's concentration of Fortune 500 headquarters in financial services and life sciences means that many of the state's most consistent postings come from large, established technology and professional services organizations with long-term AI data initiatives.
Which New Jersey cities have the most ai data engineer jobs?
Jersey City, Princeton, and New Jersey have the most ai data engineer openings in New Jersey. Jersey City and Newark draw heavy demand from financial services firms and large tech consultancies operating near New York City, while Princeton attracts postings from pharmaceutical and biotech research organizations with significant AI and data science programs anchored in that corridor.
Are there remote ai data engineer jobs in New Jersey?
Yes, and more than most fields, because ai data engineering is inherently desk-based and cloud-centric work that requires no physical presence. About 71% of ai data engineer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting the role's strong compatibility with distributed teams. Pipeline architecture, model integration, and data platform work are the areas most commonly offered on fully remote terms.
How can I get hired as a ai data engineer in New Jersey with little or no experience?
The most realistic entry path is to secure a junior data engineer or data analyst role at one of New Jersey's large pharmaceutical or financial services employers, then build toward AI-specific work from within. Companies like Cognizant and Conduent run associate and graduate technology programs in New Jersey that accept candidates without direct industry experience. Building a portfolio that includes an end-to-end ML pipeline project on a public cloud platform gives early-career candidates a concrete edge when applying to these programs.
Where can I find and apply to ai data engineer jobs in New Jersey?
You can find and apply to ai data engineer jobs in New Jersey on Migrate Mate, which lists current openings tied to the state. Search the available roles, find the ones that match your experience and preferred location, and apply directly through each listing without any additional steps.
See All 48 AI Data Engineer Jobs in New Jersey
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