Data Product Manager Jobs in New Jersey
Data Product Manager jobs in New Jersey are in strong demand, with openings concentrated in financial services, pharmaceuticals, and enterprise technology and covering experience levels from associate data product managers through senior and principal roles. The heaviest hiring is in Jersey City, Newark, and Princeton, where firms like Johnson & Johnson, Prudential Financial, and Cognizant maintain large operations that rely on data-driven product teams. The most sought-after specialties in New Jersey right now are data platform product management, analytics product ownership, and AI-adjacent product roles tied to regulated industries. Find a role that fits below and apply directly.
Find Data Product Manager JobsOverview
Open roles19
Top employerJPMorganChase
Top cityJersey City, NJ
Cities hiring9
Work type63% Hybrid
Top industryHospitality
Showing 5 of 19+ Data Product Manager jobs
Product Data Scientist
We won't show you this job again
New 12h ago
National Computer Systems
Product Data Scientist
Piscataway, New Jersey
New 12h ago
Firmwide Planning & Analysis: Data Platform Product Manager Vice President
We won't show you this job again
Added 3d ago
JPMorganChase
Firmwide Planning & Analysis: Data Platform Product Manager Vice President
Jersey City, New Jersey
Added 3d ago
Liquidity & Account Solutions- Payments-Business Intelligence & Analytics Data Owner- Executive Director
We won't show you this job again
Added 3d ago
JPMorganChase
Liquidity & Account Solutions- Payments-Business Intelligence & Analytics Data Owner- Executive Director
Jersey City, New Jersey
Added 3d ago
Vice President Product Delivery Manager - Data Analytics Platform
We won't show you this job again
Added 3d ago
JPMorganChase
Vice President Product Delivery Manager - Data Analytics Platform
Jersey City, New Jersey
Added 3d ago
Firmwide Planning & Analysis: Data Platform Product Manager Senior Associate
We won't show you this job again
Added 4d ago
JPMorganChase
Firmwide Planning & Analysis: Data Platform Product Manager Senior Associate
Jersey City, New Jersey
Added 4d ago
New 12h ago
Product Data Scientist
National Computer Systems·Piscataway, New Jersey
Job functions:
$50 - $60/hr
Bachelor's degree
2-10 employees
Job Description
Job Title: Product Data Scientist, Home Improvement
SFO, CA
SFO, CA
3 days in Happen Bank office in SFO. 2 days WFH
Product Data Scientist, Home Improvement
About The Role
This role sits at the intersection of product analytics, experimentation, and data science — embedded directly with Product Management to help shape and grow our Home Improvement lending product. You’ll be the analytical backbone for a product team making high-stakes decisions about underwriting funnels, borrower experience, and growth, translating messy data into clear evidence and, where it counts, into models and instrumentation that ship. It’s a high-impact role for someone who is equally comfortable running a rigorous A/B test, writing a dbt model, and explaining a lift curve to a VP.
What You’ll Do
Partner day-to-day with Home Improvement Product Managers as their embedded data science and analytics resource — turning open-ended product questions into structured analyses and clear recommendations
Design, run, and interpret experiments (A/B and quasi-experimental) across the borrower funnel — from offer presentment through origination — with rigor around power, sample ratio mismatch, novelty effects, and interaction risk across concurrent tests
Define and own the metrics framework for the Home Improvement product line: north-star and guardrail metrics, funnel and cohort definitions, and the instrumentation needed to measure them reliably
Work with engineering to ensure event tracking and logging are complete, accurate, and well-documented at the point of instrumentation, not discovered as gaps after the fact
Build and maintain data pipelines and models (e.g., SQL/dbt transformations, feature pipelines) well enough to be self-sufficient for most analyses and to collaborate credibly with data engineering on the rest
Develop and validate statistical and ML models supporting product decisions — response/propensity models, funnel drop-off and conversion models, segmentation, and early-stage risk or pricing signals in partnership with credit strategy — with attention to fairness, explainability, and regulatory context appropriate to a lending business
Bring AI fluency to the work: use LLM- and agentic-tooling to accelerate exploratory analysis, requirements gathering, and documentation, while knowing where automated outputs need human judgment and validation before they inform a decision
Communicate findings in a way that drives action — clear write-ups, well-chosen visualizations, and recommendations tied to specific product or roadmap decisions, not just descriptive dashboards
Contribute to PI planning and roadmap discussions by sizing opportunities, flagging measurement risk in proposed initiatives, and helping the team commit to work that can actually be evaluated
Continuously monitor product and experiment performance post-launch, and proactively surface anomalies, regressions, or new opportunities rather than waiting to be asked
About You
5+ years of experience in a hybrid analytics/data science role (e.g., analytics consulting, product data science, applied statistics) with a track record of directly informing product decisions; bachelor’s degree or higher in a quantitative field, or equivalent combination of education and experience
You have strong grounding in statistics and experimentation — hypothesis testing, causal inference, experiment design, and you can explain the difference between a significant result and a meaningful one
You’re fluent in SQL and at least one scripting/statistical language (Python or R), and you’re comfortable enough with data engineering fundamentals (pipelines, transformations, data modeling) to build what you need and partner effectively with engineers on the rest
You can develop, validate, and communicate the tradeoffs of statistical and machine learning models, and you know when a simpler model or a well-designed experiment beats a complex one
You use AI tools in your day-to-day work — for exploratory analysis, documentation, and accelerating routine analytics — and you know when their outputs need scrutiny before they touch a product decision
You think like a consultant: you get to the real question behind the question, structure ambiguous problems, and land on recommendations stakeholders can act on
You have good judgment about rigor versus speed, and you don’t cut corners on measurement integrity just to hit a deadline
You’re a clear communicator who can flex between a technical conversation with engineering and a decision-focused conversation with product and business stakeholders
You’re curious about how data, experimentation, and AI can change what’s possible in consumer lending products, and you’re always looking for a better way to answer the question
Nice to Have
Background in fintech, consumer lending, or home improvement/contractor financing
Experience with CDP platforms, event instrumentation tooling (e.g., Segment, mParticle, Amplitude), or experimentation platforms
Hands-on experience with credit or risk modeling, pricing strategy, or marketing decisioning
Experience with dbt, Airflow, or similar data pipeline/orchestration tools
Prior experience embedded directly with product teams in an agile/scrum environment
Work Location
Remote / Flexible —Occasional travel to Happen Bank offices may be required as needed.
Time Zone Requirements
Flexible, with core overlap expected with Pacific Time hours
Travel Requirements
As needed travel to Happen Bank offices and/or other locations, as needed Expenses paid.
Notice on AI Tool Use
For select roles and locations, candidate interviews may be recorded, transcribed, and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.
You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.
During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.
We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure.
We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.
National Computer Systems
Product Data Scientist
Piscataway, New Jersey
New 12h ago2-10 employees
Job functions:
$50 - $60/hr
Bachelor's degree
Job Description
Job Title: Product Data Scientist, Home Improvement
SFO, CA
SFO, CA
3 days in Happen Bank office in SFO. 2 days WFH
Product Data Scientist, Home Improvement
About The Role
This role sits at the intersection of product analytics, experimentation, and data science — embedded directly with Product Management to help shape and grow our Home Improvement lending product. You’ll be the analytical backbone for a product team making high-stakes decisions about underwriting funnels, borrower experience, and growth, translating messy data into clear evidence and, where it counts, into models and instrumentation that ship. It’s a high-impact role for someone who is equally comfortable running a rigorous A/B test, writing a dbt model, and explaining a lift curve to a VP.
What You’ll Do
Partner day-to-day with Home Improvement Product Managers as their embedded data science and analytics resource — turning open-ended product questions into structured analyses and clear recommendations
Design, run, and interpret experiments (A/B and quasi-experimental) across the borrower funnel — from offer presentment through origination — with rigor around power, sample ratio mismatch, novelty effects, and interaction risk across concurrent tests
Define and own the metrics framework for the Home Improvement product line: north-star and guardrail metrics, funnel and cohort definitions, and the instrumentation needed to measure them reliably
Work with engineering to ensure event tracking and logging are complete, accurate, and well-documented at the point of instrumentation, not discovered as gaps after the fact
Build and maintain data pipelines and models (e.g., SQL/dbt transformations, feature pipelines) well enough to be self-sufficient for most analyses and to collaborate credibly with data engineering on the rest
Develop and validate statistical and ML models supporting product decisions — response/propensity models, funnel drop-off and conversion models, segmentation, and early-stage risk or pricing signals in partnership with credit strategy — with attention to fairness, explainability, and regulatory context appropriate to a lending business
Bring AI fluency to the work: use LLM- and agentic-tooling to accelerate exploratory analysis, requirements gathering, and documentation, while knowing where automated outputs need human judgment and validation before they inform a decision
Communicate findings in a way that drives action — clear write-ups, well-chosen visualizations, and recommendations tied to specific product or roadmap decisions, not just descriptive dashboards
Contribute to PI planning and roadmap discussions by sizing opportunities, flagging measurement risk in proposed initiatives, and helping the team commit to work that can actually be evaluated
Continuously monitor product and experiment performance post-launch, and proactively surface anomalies, regressions, or new opportunities rather than waiting to be asked
About You
5+ years of experience in a hybrid analytics/data science role (e.g., analytics consulting, product data science, applied statistics) with a track record of directly informing product decisions; bachelor’s degree or higher in a quantitative field, or equivalent combination of education and experience
You have strong grounding in statistics and experimentation — hypothesis testing, causal inference, experiment design, and you can explain the difference between a significant result and a meaningful one
You’re fluent in SQL and at least one scripting/statistical language (Python or R), and you’re comfortable enough with data engineering fundamentals (pipelines, transformations, data modeling) to build what you need and partner effectively with engineers on the rest
You can develop, validate, and communicate the tradeoffs of statistical and machine learning models, and you know when a simpler model or a well-designed experiment beats a complex one
You use AI tools in your day-to-day work — for exploratory analysis, documentation, and accelerating routine analytics — and you know when their outputs need scrutiny before they touch a product decision
You think like a consultant: you get to the real question behind the question, structure ambiguous problems, and land on recommendations stakeholders can act on
You have good judgment about rigor versus speed, and you don’t cut corners on measurement integrity just to hit a deadline
You’re a clear communicator who can flex between a technical conversation with engineering and a decision-focused conversation with product and business stakeholders
You’re curious about how data, experimentation, and AI can change what’s possible in consumer lending products, and you’re always looking for a better way to answer the question
Nice to Have
Background in fintech, consumer lending, or home improvement/contractor financing
Experience with CDP platforms, event instrumentation tooling (e.g., Segment, mParticle, Amplitude), or experimentation platforms
Hands-on experience with credit or risk modeling, pricing strategy, or marketing decisioning
Experience with dbt, Airflow, or similar data pipeline/orchestration tools
Prior experience embedded directly with product teams in an agile/scrum environment
Work Location
Remote / Flexible —Occasional travel to Happen Bank offices may be required as needed.
Time Zone Requirements
Flexible, with core overlap expected with Pacific Time hours
Travel Requirements
As needed travel to Happen Bank offices and/or other locations, as needed Expenses paid.
Notice on AI Tool Use
For select roles and locations, candidate interviews may be recorded, transcribed, and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.
You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.
During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.
We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure.
We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.
See All 19 Data Product Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Data Product Manager JobsData Product Manager Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Jersey City
9 jobsMorristown
2 jobsCamden
1 jobEdison
1 jobPiscataway
1 jobBridgewater
1 jobMorris Plains
1 jobBerkeley Heights
1 jobParsippany-Troy Hills
1 jobData Product Manager Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Hospitality & Tourism
- Technology & Software
- Transportation & Logistics
What New Jersey Employers Look For
The qualifications that appear most often in data product manager jobs across New Jersey.
- Bachelor's degree in computer science, information systems, or a related quantitative field
- Three or more years of product management experience with data, analytics, or platform products
- Demonstrated ability to write product requirements and manage a data product roadmap
- Proficiency working with SQL, data pipelines, or business intelligence tools like Tableau or Looker
- Experience working cross-functionally with data engineers, analysts, and business stakeholders
- Familiarity with agile development practices and product lifecycle management frameworks
Data Product Manager Jobs in New Jersey: Frequently Asked Questions
How do you become a data product manager in New Jersey?
There is no state-issued license required to work as a data product manager in New Jersey. The standard path is a bachelor's degree in a quantitative or technical field, followed by experience in data analysis, business analysis, or software product management before moving into a dedicated data product role. New Jersey's concentration of pharmaceutical and financial services employers means candidates who can demonstrate domain knowledge in those regulated industries move through hiring processes faster.
Which companies hire data product managers in New Jersey?
Employers hiring data product managers in New Jersey right now include JPMorganChase, EXL Service, and EXL, based on current listings on Migrate Mate as of September 2026. New Jersey's dense cluster of financial services firms in Jersey City and life sciences companies in the Princeton Corridor means both regulated and enterprise-scale data environments are well represented among active postings.
Which New Jersey cities have the most data product manager jobs?
Jersey City, Morristown, and New Jersey have the most data product manager openings in New Jersey right now. Jersey City and Newark draw the bulk of financial services and technology roles given their proximity to New York City's enterprise ecosystem, while Princeton and its surrounding suburbs anchor life sciences and pharmaceutical product positions tied to the research corridor along Route 1.
Are there remote data product manager jobs in New Jersey?
Yes, and more than most fields. About 88% of data product manager openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how much of the role centers on roadmap planning, stakeholder calls, and documentation rather than on-site work. The portions most likely to remain fully remote are discovery, prioritization, and cross-functional alignment work, while roles embedded in regulated industries like pharmaceuticals may require periodic on-site presence for compliance reviews.
How can I get hired as a data product manager in New Jersey with little or no experience?
The most realistic entry path is a lateral move from a data analyst, business analyst, or technical project manager role into an associate product manager or junior data product manager position. Large New Jersey employers in financial services and life sciences, including major insurers and pharmaceutical headquarters in the Princeton and Parsippany areas, periodically run associate product manager programs designed for candidates without direct PM experience. Building a portfolio that includes a documented product discovery exercise or a data roadmap proposal, even from a personal or academic project, gives candidates a concrete edge in screening.
Where can I find and apply to data product manager jobs in New Jersey?
You can find and apply to data product manager jobs in New Jersey on Migrate Mate, which lists current openings across the state. Search the listings to find roles that match your experience and location preferences, then apply directly to the ones that fit.
See All 19 Data Product Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Data Product Manager JobsRelated Jobs in New Jersey
Technical Project Manager JobsNew Jersey
Regional Planner JobsNew Jersey
Project Analyst JobsNew Jersey
Operations Project Manager JobsNew Jersey
Development Manager JobsNew Jersey
Director Of Technical Program Management JobsNew Jersey
Client Success Manager JobsNew Jersey
Chief Of Staff JobsNew Jersey
Global Project Manager JobsNew Jersey