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Data Product Manager Jobs in Paramus, NJ (NOW HIRING)

FanDuel

Data Product Manager

New York, NY · On-site

THE POSITION Our roster has an opening with your name on it We are looking for a Data Product Manager to join our Data Products team within our Data organization. This role will focus specifically on ...

Capgemini

Data Product Manager

New York, NY · On-site

Minimum of 8+ years of experience in product management or product ownership roles, strategy roles with a focus on data . Demonstrated experience leading or supporting product strategy, roadmaps, and ...

United Airlines

Data Product Manager

Manhattan, NY · On-site

Minimum of 8+ years of experience in product management or product ownership roles, strategy roles with a focus on data . Demonstrated experience leading or supporting product strategy, roadmaps, and ...

GG Tech Global

Data Product Manager

Manhattan, NY · On-site

Required Qualifications & Skills * 4 to 6 years of experience in Data Product Management, Technical Program Management, or Data Integration Engineering. * 3 years experience with GraphQL concepts ...

2U

Senior Data Product Manager

New York, NY · On-site +1

$138K - $182K/yr

At 2U, the Senior Data Product Manager ensures that team efforts are aligned with the Data Team's mission of making data 2U's most valuable asset, by delivering and developing critical data products ...

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All JobsData Product JobsData Product Manager JobsData Product Manager Jobs in Paramus, NJ

Data Product Manager information

See Paramus, NJ salary details

$52.1K

$161.3K

$199.3K

How much do data product manager jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data product manager in Paramus, NJ is $161,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,700.00 and $199,300.00 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.

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 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 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 stakeholders, tight deadlines, and the need to deliver data-driven solutions. The role requires strong organizational skills and the ability to prioritize tasks, which can contribute to a high-pressure environment, especially in fast-paced industries.

What are popular job titles related to Data Product Manager jobs in Paramus, NJ?

For Data Product Manager jobs in Paramus, NJ, the most frequently searched job titles are:

What job categories do people searching Data Product Manager jobs in Paramus, NJ look for?

The top searched job categories for Data Product Manager jobs in Paramus, NJ are:

What cities near Paramus, NJ are hiring for Data Product Manager jobs?

Cities near Paramus, NJ with the most Data Product Manager job openings:

Data Product Manager jobs near you
Infographic showing various Data Product Manager job openings in Paramus, NJ as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $161,305 per year, or $77.6 per hour.

Data Product Manager

Berkshire Hathaway GUARD Insurance Companies

Parsippany, NJ • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

Overview
Good things are happening at Berkshire Hathaway GUARD Insurance Companies-an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, long-term careers.
Good Things You Can Count On.
• Hybrid schedule: 2 days remote / 3 in-office
• Predictable hours (no nights, weekends, or holidays)
• Competitive pay + generous PTO
• Medical, dental & vision starting day one
• 401(k), tuition reimbursement & longevity bonuses
Responsibilities
As a Data Product Manager at GUARD, you will own the business direction and value realization of domain data products. You will partner with underwriting, actuarial, and operational business leaders to identify high-value problems, shape product opportunities, prioritize investments, and lead cross-functional teams that deliver trusted, reusable data products for decision-making, operations, analytics, and AI readiness.
This is an opportunity to shape how an insurance carrier turns underwriting, actuarial, and operational expertise into reusable data products for analytics and AI. The role emphasizes product strategy, business partnership, discovery, adoption, and outcomes over agile ceremony ownership or backlog administration. You will turn complex insurance needs into trusted data products with clear business definitions, quality expectations, ownership, governance, and consumers.
As a Data Product Manager, you will:
  • Partner with underwriting, actuarial, and operational business leaders to identify high-value problems, decision needs, and opportunities for measurable business impact.
  • Shape product opportunities by defining the problem, target users, value proposition, success measures, adoption expectations, and prioritization rationale.
  • Define and manage product vision, roadmap, and priorities for domain data products, balancing value, feasibility, reuse, risk, rate and product considerations, and operational needs.
  • Lead discovery through stakeholder interviews, workshops, process analysis, user research, and validation of business needs.
  • Work with architects, engineers, analysts, and governance partners to define shared business concepts, semantic models, quality expectations, lineage, access controls, and reusable consumption patterns.
  • Lead cross-functional data product teams by setting direction, clarifying priorities, aligning stakeholders, and keeping the work focused on business outcomes.
  • Drive adoption by communicating product value, supporting rollout, gathering feedback, measuring usage, and ensuring products improve decisions or processes.
  • Ensure data products support reporting, analytics, operations, and AI use cases through trusted definitions, usability, quality, and governance.

Qualifications
Required qualifications:
  • 3+ years of experience in product management, data and analytics, business analysis, consulting, strategy, or a related field within the insurance industry.
  • Demonstrated knowledge of underwriting, actuarial, rate/product, portfolio, or underwriting operations processes.
  • Experience identifying business problems, shaping opportunities, and delivering insurance data solutions that support underwriting decisions, pricing analysis, portfolio insight, or operational execution.
  • Strong business acumen and ability to connect data capabilities to underwriting, actuarial, product, pricing, portfolio, or operational outcomes.
  • Experience leading cross-functional teams through ambiguity, aligning stakeholders, and influencing without direct authority.
  • Experience facilitating workshops, interviews, discovery sessions, prioritization discussions, and product planning conversations.
  • Ability to translate between business needs and data or technical concepts to support shared understanding and sound decisions.
  • Ability to define product goals, success measures, roadmaps, adoption plans, and prioritization criteria.
  • Proven ability to adapt, solve problems, and make progress in a changing environment.
  • Excellent spoken and written communication.

Preferred qualifications:
  • Experience with data products, data mesh, semantic models, data governance, analytics platforms, or AI-ready data initiatives.
  • Technical fluency in data and analytics concepts, including data quality, lineage, access controls, business definitions, metrics, and consumption patterns.
  • Direct Property & Casualty experience in underwriting, actuarial, product, pricing, or portfolio management, with the ability to apply that knowledge to data product strategy and decision support.
  • Direct experience supporting underwriting operations such as home office underwriting, service underwriting, premium audit, loss control, or related operational underwriting functions.
  • Familiarity with agile or iterative delivery methods; the role is primarily focused on product strategy, discovery, stakeholder alignment, adoption, and value realization.

Salary Range $88,230.60 - $217,946.30 + bonus
In accordance with applicable pay transparency laws, this range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.
This role may be based out of any of our office locations, including:
New York, NY; Parsippany, NJ; Conshohocken, PA; Wilkes-Barre, PA; Alpharetta, GA; Rosemont, IL; Plano, TX; Scottsdale, AZ; and Rancho Cordova, CA.
Applicants must be authorized to work in the U.S. without current or future sponsorship.

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