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Data Product Manager Jobs in Basking Ridge, NJ (NOW HIRING)

Sidram Technologies

Product Manager

New York, NY · On-site

Snowflake experience Product Manager Data Platform, Analytics & Cloud (Google Cloud Platform) Role Summary We are seeking an experienced Product Manager to own and drive a cloud-native data platform ...

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$53.1K

$164.3K

$203K

How much do data product manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data product manager in Basking Ridge, NJ is $164,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,300.00 and $203,000.00 per year, depending on experience, location, and employer.

What is a data product manager?

A Data Product Manager is a professional responsible for overseeing the development, launch, and management of data-driven products or solutions within an organization. They bridge the gap between technical teams, such as data engineers and scientists, and business stakeholders to ensure that data products meet user needs and drive business value. Their role includes defining product vision, prioritizing features, and ensuring data quality and usability, while also focusing on compliance and ethical considerations regarding data use.

What is the difference between a product manager and a data product manager?

A product manager oversees the development and strategy of a product, focusing on customer needs and business goals, while a data product manager specializes in managing data-driven products, ensuring data quality, analytics, and insights align with organizational objectives. Data product managers often work closely with data engineers and analysts and require knowledge of data tools and metrics. Both roles require strong communication and project management skills, but data product managers have a deeper focus on data governance and technical data aspects.

How does a data product manager typically collaborate with data engineers and analysts on a project?

A Data Product Manager works closely with data engineers and analysts to define product requirements and ensure data solutions align with business goals. They facilitate communication by translating business needs into technical specifications and prioritize tasks within the team. Regular meetings and agile ceremonies help the Data Product Manager keep everyone aligned, address roadblocks, and incorporate feedback. This close collaboration ensures that data products are both technically robust and deliver real value to end users.

What is the difference between Data Product Manager vs Data Analyst?

AspectData Product ManagerData Analyst
Primary FocusDeveloping data products, strategy, and roadmapsAnalyzing data to generate insights and reports
Skills & CertificationsData management, product management, SQL, data visualizationData analysis, SQL, Excel, statistical tools
Work EnvironmentCross-functional teams, product development lifecycleData analysis teams, reporting environments
Industry UsageTech, finance, healthcare, where data products are builtBusiness intelligence, marketing, operations

The main difference is that Data Product Managers focus on creating and managing data products and strategies, while Data Analysts concentrate on analyzing data to provide insights. Both roles require strong data skills, but their responsibilities and objectives differ significantly.

Is being a data product manager considered a stressful job?

Data product managers often face stress due to managing multiple projects, meeting deadlines, and aligning stakeholder expectations. The role requires strong communication, problem-solving skills, and the ability to handle high-pressure situations, especially in fast-paced environments.

What are the key skills and qualifications needed to thrive as a data product manager, and why are they important?

To thrive as a Data Product Manager, you need a strong background in data analytics, product management, and business strategy, often supported by a degree in a quantitative field and relevant experience. Familiarity with data visualization tools (like Tableau), SQL, analytics platforms, and agile product management frameworks is typically required. Excellent communication, stakeholder management, and problem-solving abilities help you translate complex data insights into actionable product features. These skills ensure that data-driven products are developed effectively, meet user needs, and drive business value.
What job categories do people searching Data Product Manager jobs in Basking Ridge, NJ look for? The top searched job categories for Data Product Manager jobs in Basking Ridge, NJ are:
What cities near Basking Ridge, NJ are hiring for Data Product Manager jobs? Cities near Basking Ridge, NJ with the most Data Product Manager job openings:
Data Product Manager jobs near you
Infographic showing various Data Product Manager job openings in Basking Ridge, NJ as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $164,276 per year, or $79 per hour.

CRM Data Product Manager - Vice President

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Re-posted 5 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description

As a CRM Data Product Manager, you will take a hands-on, product-oriented approach to translating CIB Sales domain needs into governed, reliable data products with clear data contracts, SLAs, and measurable outcomes. You will partner with business, technology, data platform, analytics, and controls partners to deliver actionable insights and reusable data assets-including curated datasets, metrics layers, dashboards, marts, APIs, notebooks, and ML-ready data-that enable advanced analytics and AI/ML use cases.

The CRM Data Product team drives strategic data initiatives and tooling, data governance, reporting, and advanced performance analysis across Global Banking and Payments. This is a high-visibility role with direct engagement with senior stakeholders, focused on improving efficiency, performance, and business outcomes.

In this role, you will support the end-to-end lifecycle of data products by defining requirements, improving data quality and usability, and ensuring products are reliable, discoverable, and valuable for end users.

Job responsibilities

  • Gather and document business needs, user stories, and acceptance criteria for data products
  • Translate business questions into clear data requirements (definitions, grain, scope, SLAs)
  • Maintain and groom the product backlog; help prioritize work with the Product Manager/Lead
  • Coordinate sprint activities, assist with release planning, and track delivery milestones
  • Help define and monitor data quality rules (completeness, accuracy, timeliness, consistency)
  • Support issue triage and root-cause coordination for data incidents and defects
  • Contribute to data product documentation (business definitions, data dictionary, lineage notes)
  • Partner with engineers, analysts, and governance to align on definitions and controls
  • Communicate status, risks, and dependencies to stakeholders
  • Deliver data products and insights through consumption channels (APIs/data services, SQL endpoints, dashboards, notebooks); design domain semantic layers for common Sales & Marketing analytics.
  • Apply governance and controls: stewardship, cataloging, lineage, entitlements; protect sensitive data with masking/tokenization/entitlements and regulatory compliance.

  • Engage stakeholders to prioritize use cases and communicate outcomes; partner with architecture/platform teams to leverage strategic capabilities.

Required qualifications, capabilities, and skills

  • Bachelor's in computer science, Data Science, Engineering, Finance; advanced degree a plus.
  • 5+ years in data engineering and/or data product development in financial services with production delivery.
  • Proficiency: Product Thinking; Experience with Databricks/Snowflake; Data Products Buildout
  • Strong grasp of data governance, quality, compliance; experience enabling AI/ML workloads.
  • Familiarity with sales domains (deal lifecycle, client coverage, pipeline/execution, fee/revenue analytics).
  • Excellent communication; outcome-focused and hands-on.

Preferred qualifications, capabilities, and skills

  • Demonstrated prior experience working in a highly matrixed, complex organization

 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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

J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors.
Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.

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