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Product Manager Data Analytics Jobs (NOW HIRING)

$140K - $150K/yr

Product Manager, Data PlatformPosition Details Department: Product Location: Remote, US Employment: Full-time Travel: None About Vibrant Planet We are a team of leaders in fire science, applied ...

Senior Manager, Data Analytics

Anderson, MO Β· On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced ... product, and tech teams to align testing, track issues, and support Β· Provide ad-hoc analysis and ...

As Senior Manager, Data Analytics, you will lead the development and execution of advanced ... product, and tech teams to align testing, track issues, and support Β· Provide ad-hoc analysis and ...

Senior Manager, Data Analytics

Goshen, AR Β· On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced ... product, and tech teams to align testing, track issues, and support Β· Provide ad-hoc analysis and ...

Senior Manager, Data Analytics

Johnson, AR Β· On-site

$90K - $180K/yr

As Senior Manager, Data Analytics, you will lead the development and execution of advanced ... product, and tech teams to align testing, track issues, and support Β· Provide ad-hoc analysis and ...

As Senior Manager, Data Analytics, you will lead the development and execution of advanced ... product, and tech teams to align testing, track issues, and support Β· Provide ad-hoc analysis and ...

... AI-ready analytics. We are looking for a Senior Product Manager, Data Products to own the ... constructs and experiences that data engineers, modelers, data scientists, and emerging AI agents ...

The Product Manager for Data leads the product strategy, roadmap, and lifecycle for data and reporting applications serving internal and external users. This role translates business needs into ...

Align engineering, analytics, and business teams * Use metrics to guide prioritization and product evolution * Lead the end‑to‑end lifecycle of data products, including requirements, design ...

... Manager Data & Analytics, an innovative individual with a proven track record in building ... Design, document and implement product features in collaboration with Products, business and ...

Data Product Manager

Saint Paul, MN Β· On-site +1

$89 - $95/hr

Shape the vision and roadmap for critical data products, analytics platforms, and data services ... Strong stakeholder management and communication skills with the ability to translate technical ...

What this job involves JLL is seeking a Manager, Data & Analytics for the National Leasing Advisory Industrial platform to own the datasets, dashboards, and AI-enabled workflows that platform ...

Product Manager- Data Acceleration- Hybrid, Cary, North Carolina We're a leader in data and AI ... Define success measures, own post-launch analysis, and develop business cases and product ...

The Senior Manager, Data Analytics - Site Discovery executes the analytics vision and performance ... Partner with Product and Engineering to translate insights into actionable roadmap priorities.

The Senior Manager, Data Analytics - Site Discovery executes the analytics vision and performance ... Partner with Product and Engineering to translate insights into actionable roadmap priorities.

The Senior Manager, Data Analytics - Site Discovery executes the analytics vision and performance ... Partner with Product and Engineering to translate insights into actionable roadmap priorities.

Showing results 41-60

Product Manager Data Analytics information

See salary details

$51.5K

$159.4K

$197K

How much do product manager data analytics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for product manager data analytics in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What is a product manager data analytics?

A Product Manager Data Analytics is a professional responsible for overseeing the development, strategy, and success of data analytics products or features within an organization. They work at the intersection of business, technology, and data, collaborating with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure analytics solutions meet user and business needs. Their role involves understanding market trends, user requirements, and translating complex data insights into actionable product enhancements. Ultimately, they drive the product lifecycle to deliver value through data-driven decision making.

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

As a Product Manager in Data Analytics, you serve as the bridge between business stakeholders and technical teams. You'll work closely with data scientists to define project objectives, ensure that analytical models align with business needs, and prioritize features based on user impact. Collaboration with data engineers is essential for understanding data infrastructure requirements and ensuring reliable data pipelines. Regular communication, sprint planning, and joint problem-solving sessions are core to fostering alignment and delivering successful analytics solutions.

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

To thrive as a Product Manager in Data Analytics, you need a strong background in data analysis, product lifecycle management, and business strategy, often supported by a degree in business, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and experience with analytics platforms are typically required, and certifications such as Certified Scrum Product Owner (CSPO) can be advantageous. Exceptional communication, problem-solving, and stakeholder management skills help you bridge technical teams and business objectives. These abilities are crucial for delivering data-driven products that meet user needs and provide measurable business value.

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

AspectProduct Manager Data AnalyticsData Analyst
Primary FocusOverseeing data-driven product strategies and roadmapsAnalyzing data to generate reports and insights
Skills & CertificationsProduct management, data analytics, SQL, communicationData analysis, SQL, Excel, visualization tools
Work EnvironmentCross-functional teams, product development cyclesData teams, business units, reporting environments
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare, tech

Product Manager Data Analytics focuses on guiding product strategies using data insights, while Data Analysts primarily analyze data to produce reports. Both roles require analytical skills and familiarity with data tools, but their responsibilities and scope differ significantly.

Do product managers do data analysis?

Product managers often perform data analysis to inform product decisions, track performance metrics, and understand user behavior. They use tools like SQL, Excel, or analytics platforms to interpret data and prioritize features, but they typically collaborate with data analysts or data scientists for complex analysis. Strong analytical skills are valuable in this role to support data-driven decision-making.
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Infographic showing various Product Manager Data Analytics job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Product Manager; Data

On-site

Vibrant Planet
Environmental Consulting ServicesΒ β€’Β 51 - 200 employees

$140K - $150K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Key responsibilities

  • Own the data platform, including cloud infrastructure, distributed compute, and pipeline orchestration for core data products.

  • Gather and prioritize requirements from dependent teams and translate them into technical specifications for engineering teams.

  • Partner with engineering teams, other product managers, and external contractors to develop and deliver new platform functionality.


Job description

Product Manager, Data PlatformPosition Details

Department: Product

Location: Remote, US

Employment: Full-time

Travel: None

About Vibrant Planet

We are a team of leaders in fire science, applied science, forestry, policy, and tech who work with land managers, community risk managers, utilities, and insurers to drive action that lowers the risk of destructive wildfire. Our cloud-based, AI-driven platform modernizes land management planning, community risk assessment, and monitoring through scenario building, decision support, and treatment outcome detection.

Our fire science subsidiary, Pyrologix, produces leading wildfire science and models that quantify wildfire hazard and risk, and the benefits of mitigation action. This science powers the core Vibrant Planet platform and supports our work across utilities, insurance, and other sectors.

Vibrant Planet is backed by climate and resilience leaders including Grantham Foundation, Earthshot, Elemental Excelerator, Ecosystem Integrity Fund, Cisco, and Halogen Ventures. For more information, visit vibrantplanet.net and pyrologix.com.

About the Role

We are seeking a product manager to own Vibrant Planet's data platform β€” the cloud infrastructure and data production systems that store, process, and serve our geospatial data to internal teams, our own applications, and external customers. You'll drive delivery and day-to-day product work and work with the broader product team to prioritize and build new functionality in collaboration with scientists and engineers. Your work will directly support our mission to provide best-in-class scientific data and decision support for wildfire mitigation and community resilience planning.

Key Responsibilities
  • Own the data platform β€” the cloud infrastructure, distributed compute, pipeline orchestration and delivery mechanisms for our core data products and open science mission
  • Gather and prioritize requirements from the teams that depend on the platform
  • Translate new platform needs into clear technical specs that engineering teams can build from
  • Partner with engineering teams, other PMs, and external contractors to execute and deliver new functionality
  • Drive documentation and developer experience
  • Define and track success metrics to measure adoption, reliability, delivery time, cost and other key indicators
  • Comply with Vibrant Planet’s Information Security Policy and the full security responsibilities detailed in the Employee Handbook, including complete required security training, safeguard customer and company data, keep credentials secure, and report suspected security incidents or policy violations through established channels.
  • Ensure direct reports complete required security training, communicate security policy requirements to new team members, and elevate security concerns through proper channels.
  • Follow secure development practices, adhere to established change management processes for production systems, protect the confidentiality and integrity of customer data, and promptly address security vulnerabilities in your area of responsibility.
Required Qualifications
  • Degree or equivalent experience in computer science, engineering, data science, machine learning, geospatial science, or related quantitative discipline
  • 3+ years in technical product, platform, or data-engineering roles
  • Demonstrated ability to coordinate multiple engineering teams to execute production-grade delivery
  • Experience working with cloud-native geospatial data at continental to global scales
  • Experience shaping external-facing or data-as-a-service APIs
  • Hands-on understanding of cloud infrastructure, distributed compute, and workflow orchestration
  • Strong technical writing β€” turns direction into specs engineers build from
  • Comfort working in a fully remote, fast-paced startup environment
Preferred Qualifications
  • Background in machine learning and MLOps with experience building production infrastructure for training and inference
  • Experience with agentic AI, or designing data and APIs for AI-agent access and use
  • Background in wildfire, forestry, or climate science
Compensation & Benefits

Salary Range: $140,000 – $150,000

  • Health, dental, and vision insurance
  • 401(k) plan
  • Unlimited PTO policy
  • Company equity
  • Cell phone stipend (per pay period)
  • Home office setup allowance (one-time)
Equal Opportunity Employer

Vibrant Planet is committed to diversity. We encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability status, sexual orientation, gender identity, military, or other status protected by law to apply.

We are most interested in finding the best candidate for the job, and that candidate may come from a less traditional background, but have capacity to grow into and thrive in the position after some mentoring. We do not require that you have experience with every job description task. We will consider any equivalent combination of knowledge, skills, education, and experience to meet minimum qualifications. We encourage each candidate to think broadly about their unique background and skill set and how it may relate to the role.

While we welcome applicants from all backgrounds, we regret that we are unable to provide visa sponsorship (including H-1B) at this time. Candidates must already be authorized to work in the U.S. without the need for sponsorship.

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