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Data Science Product Manager Jobs in Michigan (NOW HIRING)

Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and ... Master-level data science industry knowledge and knowledge of the insurance marketplace * Strong ...

Technical Product Manager

Dearborn, MI · On-site

$153K - $177K/yr

Bachelor of Computer Science, Data Science, Data Engineering or equivalent combination of relevant education and experience * 5+ years in a Technical Product Management or a "Solutions Architect ...

Enhance our current data warehouse platform and supporting data architecture to transform data ... Master's degree in Business Administration, Product Management, Computer Science, or a related ...

Enhance our current data warehouse platform and supporting data architecture to transform data ... Master's degree in Business Administration, Product Management, Computer Science, or a related ...

New

Senior Product Manager

Warren, MI · On-site

$118K - $156K/yr

The Senior Product Manager will serve as a strategic partner to business stakeholders, IT, operat ... Bachelor's degree in Business, Information Technology, Data Science, Marketing, Engineering, or a ...

We write admitted products in all 50 states and have a premium volume of $2.2 billion ... Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ...

... science degree * Demonstrated success applying advanced statistical methods and/or machine learning algorithms to production/field data using Python or R * Employees must be legally authorized to ...

Showing results 41-60

Data Science Product Manager information

See Michigan salary details

$44.9K

$138.9K

$171.7K

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

As of Aug 8, 2026, the average yearly pay for data science product manager in Michigan is $138,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $171,700.00 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.

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.

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.

Who gets paid more, a data scientist or a data science product manager?

Typically, data science product managers earn higher salaries than data scientists due to their broader responsibilities, including strategic planning, cross-functional coordination, and product ownership. Data science product managers often have strong business acumen and project management skills, which contribute to their higher compensation. However, salary differences can vary based on experience, industry, and location.
What are popular job titles related to Data Science Product Manager jobs in Michigan? For Data Science Product Manager jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Data Science Product Manager jobs? Cities in Michigan with the most Data Science Product Manager job openings:
Infographic showing various Data Science Product Manager job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $138,936 per year, or $66.8 per hour.

Senior Data Science Consultant, Insurance - Remote

CSAA

Remote

Full-time

Retirement

Posted 23 days ago


Job description

External candidates: In order for your application to be correctly processed please sign-in before you apply

Internal candidates: Please go to Workday and click "Find Jobs" link under Career

Thank you for considering opportunities with us!

Job Title

Senior Data Science Consultant, Insurance - Remote

Requisition Number

R7828 Senior Data Science Consultant, Insurance - Remote (Open)

Location

Arizona - Home Teleworkers

Additional Locations

Alabama - Home Teleworkers, Alabama - Home Teleworkers, Arkansas - Home Teleworkers, California - Home Teleworkers, Colorado - Home Teleworkers, Connecticut - Home Teleworkers, Delaware - Home Teleworker, District of Columbia - Home Teleworkers, Florida - Home Teleworkers, Georgia - Home Teleworkers, Idaho - Home Teleworkers, Illinois - Home Teleworkers, Indiana - Home Teleworkers, Iowa - Home Teleworkers, Kansas - Home Teleworker, Kentucky - Home Teleworkers, Louisiana - Home Teleworkers, Maine Home Teleworkers, Maryland - Home Teleworkers, Massachusetts - Home Teleworkers, Michigan - Home Teleworkers, Minnesota - Home Teleworkers, Mississippi - Home Teleworker, Missouri - Home Teleworker, Montana - Home Teleworkers {+ 21 more}

Job Information

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for a Senior Data Science Consultant, Insurance - Remote

Your Role:

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare for the future of the insurance industry. In this highly strategic position, you will build and apply advanced simulation models to explore emerging trends and their potential impact over the next decade. Your work will help leaders evaluate scenarios, test assumptions, and make informed decisions about how CSAA can adapt, grow, and continue serving members in a rapidly changing marketplace.

This role is ideal for a seasoned data science professional with deep expertise in modeling, simulation, AI, data analysis, and programming, along with the ability to translate complex findings into clear business recommendations. You will work closely with senior leaders and cross-functional teams to design simulation frameworks, interpret results, communicate assumptions and limitations, and influence decisions that may shape CSAA's long-term strategy. Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal simulation capabilities by mentoring others and advancing the broader data science community.

Your Work:

  • Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid).

  • Translate business or operational problems into robust simulation frameworks.

  • Conduct scenario analysis, what-if studies, optimization, and risk analysis.

  • Interpret simulation results and large datasets, delivering actionable insights to executive and technical audiences to support decision-making.

  • Guide business users on model assumptions, limitations, and best practices.

  • Coach and mentor junior consultants and review modeling work for quality and rigor.

  • Support problem understanding and solution design, including proposals and executive presentations.

  • Partner closely with data governance, model governance, and regulatory compliance teams.

  • Key partner to the business, advising and making actionable recommendations with significant impact.

  • Play key roles cross-functionally with data, IT, governance, legal, and business.

  • Take a leading role in shaping the culture of data science community in CSAA.

Required Experience, Education and Skills:

  • Bachelor's degree in STEM or bachelor's degree with an equivalent combination of relevant education.

  • Requires 10 years related professional experience with transferrable skills.

  • Experience in developing data pipelines for simulations and data science models.

  • Experience with fostering the culture of data scientist community.

  • Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation tools).

  • Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and comprehensive modeling dataset.

  • Strong communication skills to explain model insights to technical partners, business partners, and corporate leaders.

  • Master-level data science industry knowledge and knowledge of the insurance marketplace.

What would make us excited about you?

  • Master's degree

  • CPCU, ACAS or FCAS

  • Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and underwriting

  • History of thought leadership in modeling, including publishing, speaking at conferences, or contributing to industry collaborations.

  • Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars.

  • Actively shapes our company culture (e.g., supporting employee resource groups, mentoring employees, volunteering, joining cross-functional projects).

  • Champions our cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.).

  • Demonstrates a company ownership mindset, thinking beyond boundaries of their own area.

  • Travels as needed for role, including divisional / team meetings and other in-person meetings.

  • Fulfills business needs, which may include investing extra time, helping other teams, etc.

Please note we are hiring for this role remote anywhere in the United States with the following exceptions: Hawaii and Alaska.

Why Choose a Career at CSAA IG?

At CSAA IG, we are a mission-driven organization proudly committed to empowering our members, our employees, and our communities to thrive.

Recognition: We offer a total compensation package, annual bonus eligibility for most roles, 401(k) with a company match, and so much more! Read more about what we offer and what it is like to be a part of our dynamic team at https://careers.csaainsurance.aaa.com/us/en/benefits.

Career Growth: We believe in growth for everyone. Here at CSAA IG, leaders and mentors partner with employees to align interests, unlock development opportunities, and support longterm success.

Flexible Workplace: We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices. Our flexible workplace empowers you to balance remote work with intentional inperson moments that deepen connection and collaboration.

Inclusion and Belonging: An inclusive and welcoming workplace is the cornerstone of our success. By fostering an environment where people feel valued and heard, we deepen our ability to understand and meet the unique needs of our members. This strengthens innovation and enhances our products and services, giving us a competitive edge in the market.

Sustainability: As climate change leads to more frequent and severe weather events, we are taking bold action to build more resilient communities and reduce our environmental impact. Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us.

CSAA is committed to providing reasonable accommodations to qualified applicants and employees with disabilities or other limitations. If you would like to request an accommodation to participate in the job application or interview process, please contact TalentAcquistion@csaa.com

If you apply and are selected to continue in the recruiting process, we will schedule a preliminary call with you to discuss the role and will disclose during that call the available salary/hourly rate range based on your location. Factors used to determine the actual salary offered may include location, experience, or education.

CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the US. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

CSAA Insurance Group is an equal opportunity employer.

#LI-JH1

Knowledge, Skills and Abilities

Required:

  • Master-level tool knowledge (e.g., SQL, Python, R, AWS, DataRobot, other systems)

  • Depth knowledge data mining, data evaluation and proficiency in compiling an effective and comprehensive modeling dataset

  • Create innovative ways to mine and use data, including semi-structured or unstructured data

  • Master-level statistical, ML, GenAI and LLM modeling skills through development, deployment, monitoring

  • Key partner with data governance, model governance and regulatory compliance

  • Deep understanding of responsible AI principles for GenAI, including governance, compliance, legal, and ethical considerations; ability to influence internal policy around GenAI

  • Key partner to the business, advising and making actionable recommendations with significant impact

  • Play important role cross-functional with data, IT, governance, legal and business

  • Take a leading role in shaping the culture of data science community in CSAA

  • Master-level data science industry knowledge and knowledge of the insurance marketplace

  • Strong communication skills to explain model insights to technical partners, business partners and corporate leaders

  • Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars

Education

Required

  • Bachelor's degree in STEM or Bachelor's degree with an equivalent combination of relevant education

Preferred:

  • Master's degree

  • CPCU, ACAS or FCAS

Experience

Required:

  • Requires 10 years related professional experience with transferrable skills

  • 7 years of post-bachelor experience developing statistical, ML, GenAI and LLM Models

  • Lead cross-functional MLOps projects in insurance or financial services

  • Experience with developing GenAI models with unstructured data

  • Experience with fostering the culture of data scientist community

Preferred

  • Extensive knowledge in various insurance operations: pricing, product, claims, marketing and underwriting

  • Experience shaping GenAI adoption across company

  • Track record of thought leadership in GenAI, including publishing, speaking at conferences, or contributing to industry collaborations

  • Familiarity with responsible AI frameworks and ability to influence internal processes and standards related to GenAI adoption

The national average salary range for this position is $160,155.00-$177,950.00. However, we have a location-based compensation structure. Our salary ranges vary and are calculated based on work location. The starting pay range for this position across all the states we hire in is $160,155.00-$213,550.00. This role also includes an opportunity for a company-wide annual discretionary bonus, through our Annual Incentive Plan (AIP), of up to 15% of eligible pay.This job posting will be unposted on Sat, 15 Aug 2026.