ZipRecruiter

Log In

1

Data Product Manager Jobs in Kansas (NOW HIRING)

FanThreeSixty

Lead Data Product Manager

Leawood, KS · On-site

Summary FanThreeSixty is looking for a Lead Data Product Manager to own the roadmap and prioritization for our data platform's core engine - the integrations, data science models, and insights ...

FanThreeSixty

Lead Data Product Manager

Leawood, KS · On-site

Summary FanThreeSixty is looking for a Lead Data Product Manager to own the roadmap and prioritization for our data platform's core engine - the integrations, data science models, and insights ...

Koch

Data Product Analyst

Wichita, KS · On-site

$70 - $100/hr

It translates governance standards into actionable insights that help data stewards and data owners improve and manage their data domains. It keeps the reporting on our data products clear, current ...

Global Partners

Technical Product Manager

Newton, KS · On-site

$147K - $170K/yr

Seeking a Technical Product Manager with expertise in data to collaborate with Analytics/data Engineering teams, drive critical initiatives, and deliver innovative products of the central Data ...

FanThreeSixty

Client Data Strategist

Leawood, KS · On-site

You'll work closely with Sales, Client Success, our Sales Engineer, and our Lead Data Product Manager, translating client needs and feedback into signals that shapes what we build next. This is a ...

FanThreeSixty

Client Data Strategist

Leawood, KS · On-site

You'll work closely with Sales, Client Success, our Sales Engineer, and our Lead Data Product Manager, translating client needs and feedback into signals that shapes what we build next. This is a ...

Stripe

$132K/yr

We are looking to hire a Product Marketing Manager to own go-to-market strategy and drive adoption for Stripe's data products - including Sigma, Data Pipeline, Database, and new products we're ...

Garmin

Product Manager (Dive Applications)

Olathe, KS · On-site

... data/product recommendations to engineering and marketing/sales management • Demonstrated proficiency using MS Office skills (PowerPoint, Word, Excel) • Flexibility to travel (up to 10%) Company

Wolters Kluwer

Product Manager

Wichita, KS · On-site

$68K - $118K/yr

Strong analytical and problem-solving skills with the ability to leverage data and customer insights to support decision-making. * Ability to manage product backlogs, defining user stories, and ...

next page

Showing results 1-20

All JobsData Product JobsData Product Manager JobsData Product Manager Jobs in Kansas

Data Product Manager information

See Kansas salary details

$45.9K

$142.2K

$175.7K

How much do data product manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data product manager in Kansas is $142,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $175,700.00 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 Kansas?

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

What job categories do people searching Data Product Manager jobs in Kansas look for?

The top searched job categories for Data Product Manager jobs in Kansas are:

What cities in Kansas are hiring for Data Product Manager jobs?

Cities in Kansas with the most Data Product Manager job openings:

Data Product Manager jobs near you
Infographic showing various Data Product Manager job openings in Kansas as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $142,165 per year, or $68.3 per hour.

Lead Data Product Manager

FanThreeSixty

Leawood, KS • On-site

Full-time

Posted 10 days ago

Key responsibilities

  • Own the roadmap and prioritization for data integrations, pipelines, models, and reporting capabilities.

  • Translate business questions into model requirements and ensure outputs are interpretable and defensible.

  • Define metrics, reporting standards, and data quality requirements, and collaborate with engineering and data science to maintain data integrity.

Job description

Job Description Summary
FanThreeSixty is looking for a Lead Data Product Manager to own the roadmap and prioritization for our data platform's core engine - the integrations, data science models, and insights/reporting capabilities that power a leading fan engagement platform in sports and entertainment. This role sits at the intersection of data strategy and product management: you'll define what data enters and leaves our platform, guide the models and algorithms that turn raw fan data into actionable intelligence, and ensure the insights we surface are accurate, meaningful, and built to scale.
This role reports to the Sr. Director, Product & Data Strategy.
You'll work as a peer to our Lead Platform Product Manager, with a clear division of ownership: you own everything up to the point where data is consumed - the pipelines, the models, the logic, the metric definitions. Platform owns everything a client sees and clicks. Together, you'll ensure that what gets built is both analytically sound and genuinely usable.
Job Description
What You'll Own
Integrations roadmap
Prioritize and manage the roadmap for data flowing into and out of the platform, partnering with engineering to sequence integration work against business impact.
Data Science roadmap prioritization
Own prioritization of the Data Science roadmap - deciding what's worth building as a durable capability versus what should be declined or redirected as a one-off request. Translate business questions into model requirements and ensure outputs are interpretable and defensible.
Insights & reporting standards
Define what gets measured, how it's calculated, and what it means - producing clear metric definitions and requirements that downstream teams (including design and platform) build against.
Data quality & technology governance
Partner with engineering and data science to surface and prioritize data quality issues that affect model or reporting reliability. Ensure any infrastructure, tooling, or architecture decision originating from Data Science routes through Tech & Architecture's standard review process, rather than being made independently.
Internal cross-functional translation
Serve as the primary internal bridge between data science/engineering execution and product/business leadership (Sr. Director, Lead Platform Product Manager, executive leadership), translating technical tradeoffs into business terms and vice versa. Client-facing translation of data needs and use cases is owned by the Client Data Strategist - this role's translation work stays internal.
Continuous improvement
Regularly reassess whether our data architecture, models, and reporting standards still fit our clients' evolving needs and the broader industry landscape. No part of the roadmap should be treated as "done" - only as a baseline to keep improving.
What Success Looks Like
  • A prioritized, well-justified roadmap for data integrations, models, and reporting that engineering can execute against without ambiguity.
  • A measurable reduction in ad hoc, one-off reporting requests going to Data Science, replaced by reusable data products tied to business outcomes.
  • Zero Data Science infrastructure or tooling decisions made outside the standard Tech & Architecture review process.
  • Metric and model definitions that are documented, defensible, and don't require re-litigation every time they're used in a client-facing context.
  • A working cadence with the Lead Platform Product Manager where handoffs (data → interface) happen smoothly, without escalation.
  • A track record of proactively identifying where our data capabilities need to evolve - not just reacting to requests, but anticipating where the platform needs to go next.

What You Bring
  • 5-7 years of product management experience, with meaningful time spent owning data-intensive products, platforms, or data science-adjacent roadmaps.
  • Demonstrated ability to write clear requirements for machine learning or statistical models - you don't need to build them, but you need to speak the language well enough to spec them.
  • Experience translating raw data/model outputs into metrics and insights that non-technical stakeholders can act on.
  • Comfort operating in ambiguity typical of a lean, high-ownership organization - this isn't a role with a large PM bench around you.
  • Strong cross-functional collaboration skills, especially the ability to hold a firm line on analytical accuracy while remaining a good partner to design and engineering.
  • Demonstrated ability to set priorities and say no to low-value work - comfort pushing back on requests that don't tie to a clear business outcome.

Nice to Have
  • Experience in sports, entertainment, or fan/customer engagement platforms.
  • Familiarity with modern data stacks (cloud data warehousing, ETL/integration tooling).
  • Background partnering directly with data science teams on production ML systems.
  • Working knowledge of data privacy and compliance considerations sufficient to partner effectively with the Privacy & Compliance Coordinator - this role is not the primary owner of compliance monitoring or interpretation.

Apply