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Data Science Product Manager Jobs in Missouri (NOW HIRING)

Data Product Manager

Kansas City, MO · On-site

$50.50 - $75/hr

... data science, data governance, and platform teams to develop and launch data products. • ... managing backlog and assists with planning upcoming pipeline. • Prioritize features and ...

Collaborating closely with business, product, and engineering teams, they align forecasting efforts ... Proven leadership skills in mentoring teams and managing cross-functional collaboration.

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

Collaborating closely with business, product, and engineering teams, they align forecasting efforts ... Proven leadership skills in mentoring teams and managing cross-functional collaboration.

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

Collaborating closely with business, product, and engineering teams, they align forecasting efforts ... Proven leadership skills in mentoring teams and managing cross-functional collaboration.

Data Science Analyst

Saint Louis, MO · On-site

$133K - $180K/yr

Data Management, Metadata Standards, Visualization Certifications: CompTIA Security+ CE | CompTIA ... At least 5 years of experience with customer imagery and data repositories, products, data types ...

(USA) Principal, Product Manager

Noel, MO · On-site

$110K - $220K/yr

The Principal Product Manager will define and build an enterprise signal intelligence platform ... As part of People Product, we partner across People, Product, Design, Engineering, and Data Science ...

The Principal Product Manager will define and build an enterprise signal intelligence platform ... As part of People Product, we partner across People, Product, Design, Engineering, and Data Science ...

The Principal Product Manager will define and build an enterprise signal intelligence platform ... As part of People Product, we partner across People, Product, Design, Engineering, and Data Science ...

Drive adoption and usage of data science products and models * Translate data science outputs into ... Supply chain management * Marketing models Essential Functions The requirements listed below are ...

The role combines operational leadership with product-oriented thinking and hands-on Agile development management. You will coordinate high-impact data science workstreams across strategy, growth ...

Data Science Analyst

Saint Louis, MO · On-site

$132K - $159K/yr

At least 5 years of experience with data management, transformation, visualization, analysis ... At least 5 years of experience with customer imagery and data repositories, products, data types ...

You will design scalable data science products, translate sophisticated analytical findings into ... metadata management, or enterprise search platforms. * Experience deploying, monitoring, and ...

Showing results 21-40

Data Science Product Manager information

See Missouri salary details

$48.3K

$149.5K

$184.8K

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

As of Sep 6, 2026, the average yearly pay for data science product manager in Missouri is $149,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $184,800.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

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

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Science Product Manager jobs in Missouri?

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

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

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

What cities in Missouri are hiring for Data Science Product Manager jobs?

Cities in Missouri with the most Data Science Product Manager job openings:

Infographic showing various Data Science Product Manager job openings in Missouri as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $149,522 per year, or $71.9 per hour.

Director, Data Science

Sun Life Financial

Kansas City, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

94th of 315 rated insurance


Job description

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.


At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.


When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.


Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.

Job Description:

This role provides advanced analytics leadership for an analytics agile squad within the Business Analytics function. The Director is responsible for advancing how Sun Life US uses data science, GenAI, and emerging AI capabilities to improve business decision-making across functional teams, including Sales, Underwriting, and Health Capabilities. The role will identify, prioritize, and deliver high-value opportunities where advanced analytics and AI can improve efficiency, increase consistency, surface actionable insights, and help business partners make better-informed decisions. As a leader within the Business Analytics organization, this individual will build and develop a team of data scientists, foster innovation, establish analytical best practices, and ensure solutions deliver measurable business value while maintaining appropriate governance, quality, and trust.

This position reports to the AVP, Business Analytics within the Health and Risk Solutions business. The Director is accountable for the end-to-end delivery, deployment, adoption, and ongoing improvement of advanced analytics and GenAI-based solutions supporting the assigned roadmap. This includes capabilities that retrieve, synthesize, summarize, and structure information from RFP materials, census data, claimant information, underwriting content, and clinical data to support business workflows across Sales, Underwriting, and Health Capabilities. The role is also responsible for evaluating where Agentic AI can safely and effectively augment business processes through orchestration of information gathering, analysis, recommendations, and workflow coordination while maintaining appropriate human oversight and governance. The Director will partner closely with business stakeholders, technology, and governance teams to translate business needs into scalable solutions, drive adoption, measure business impact, and continuously improve decision effectiveness.

What will you do?

  • Lead advanced analytics and GenAI-based solution development for initiatives that support Sales, Underwriting, and Health Capabilities business partners.
  • Translate business problems into clear analytics product requirements, success measures, implementation plans, and adoption strategies.
  • Develop and scale reusable GenAI capabilities that retrieve, synthesize, summarize, and structure complex RFP, case, claimant, census, and clinical information.
  • Explore opportunities to apply Agentic AI to augment multi-step sales, underwriting, and clinical processes where it can improve information gathering, decision support, workflow efficiency, and consistency of business outcomes.
  • Partner with Sales, Underwriting, Health Capabilities, technology, and governance stakeholders to deliver solutions that are workflow-ready, scalable, secure, and compliant.
  • Apply expertise in data science, machine learning, GenAI, validation, and quality controls to ensure solutions are accurate, reliable, explainable, and fit for business use.
  • Drive solution adoption by partnering with business leaders and SMEs on training, feedback capture, change management, and measurement of productivity, decision quality, and business value.
  • Manage and develop a team of data scientists, balancing team development, delivery priorities, and long-term capability building.
  • Monitor solution performance, user feedback, data quality, model behavior, and business outcomes to identify enhancements and ensure sustained value after deployment.
  • Communicate technical concepts, risks, recommendations, and business impact clearly to technical and non-technical audiences, including senior stakeholders.

What will be needed to succeed?

  • Demonstrated expertise with a broad range of programming languages, applications and data environments (e.g., Python, SQL, Snowflake, Dataiku)
  • Demonstrated expertise in data science including conditioning, modeling, integration, visualization, deployment support, and ongoing monitoring
  • Strong knowledge of the fundamental statistical, machine learning, AI, and GenAI underpinnings of data science
  • Experience leading GenAI or AI-enabled solutions that synthesize unstructured and structured information into business-ready outputs
  • Experience evaluating emerging Agentic AI capabilities and identifying where human-in-the-loop automation can safely augment repeatable business processes and improve decision-making
  • Commitment to data compliance, model governance, responsible AI, information security, and appropriate handling of sensitive health and business information
  • Excellent business acumen to understand why and how the work will impact Sales, Underwriting, Health Capabilities, and broader Sun Life US stakeholders
  • Excellent communication and stakeholder management skills, with an ability to explain technical concepts, trade-offs, risks, and recommendations to a non-technical audience
  • BS/MS/PhD in a statistical, mathematical, or technical field (e.g., computer science, data science)
  • 10+/8+/6+ years of experience in developing, implementing, and scaling data science, machine learning, AI, or GenAI-enabled solutions

What will be nice to have?

  • MS/PhD, preferably in a statistical, mathematical, or technical field (e.g., computer science, data science)
  • Experience with Employee Benefits, Commercial Dental, Group Medical Stop Loss, or other group insurance products preferred.
  • Experience developing or leading GenAI-enabled information retrieval, summarization, document intelligence, or workflow automation solutions preferred.
  • Experience applying AI agents, workflow orchestration, or decision-support automation to business processes with appropriate controls, oversight, and measurable outcomes preferred.
  • Experience partnering with Sales, Underwriting, Clinical, or related business teams to embed analytics into operational workflows preferred.

Salary Range: $153,000 - $229,500
At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions.

Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

Life is brighter when you work at Sun Life

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities.

We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email thebrightside@sunlife.comto request an accommodation.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment.

Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Category:

Advanced Analytics

Posting End Date:

02/10/2026

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