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Data Science Product Manager Jobs in Michigan (NOW HIRING)

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

As our Director of Data Science you will set the foundation that powers impactful data-driven insights; harnessing the power of data to shape our products with the potential to improve the lives of ...

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 ...

Partner with product, production, services, engineering, and other business teams to understand ... Science, Business Analytics, or a related field . * You have strong database management skills ...

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 Sep 3, 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.

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 Michigan?

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

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

The top searched job categories for Data Science Product Manager jobs in Michigan 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 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $138,936 per year, or $66.8 per hour.

ConvergeSPORTS - Mobile App Product Manager (Senior Consultant) - Innovation_Delivery_Transformation

Deloitte

Detroit, MI • On-site

Other

This job post has expired today. Applications are no longer accepted.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Mobile App Product Manager

The Team ConvergeSPORTS is a product-driven business combining Deloitte's sports industry experience with proprietary data, AI-native decision intelligence, and reusable Converge capabilities. We help sports organizations grow revenue, deepen fan engagement, optimize partnerships, and improve commercial performance while operating with the focus of a product company. Our teams work with leagues, teams, venues, rights holders, media organizations, sponsors, and brands across fan data, digital experiences, and commercial analytics. Cross-functional product teams turn market needs into scalable products and repeatable decision workflows rather than one-off solutions. This role sits within the Mobile App product team and works closely with Product, Design, mobile engineering, backend engineering, data, quality engineering, and platform services. The ConvergeSPORTS Mobile App is a fan-facing digital product that brings together content, identity, engagement, personalization, notifications, and commercial experiences. The product team owns the end-to-end fan journey and works with Architecture, iOS and Android Engineering, Backend Engineering, Data, Design, and Go-to-Market to deliver measurable releases. Position Summary ConvergeSPORTS is seeking a Mobile App Product Manager to define, deliver, and scale the Mobile App. You will translate fan needs and sports business priorities into product strategy, mobile workflows, data requirements, metrics, and releases that Engineering and Design can execute. You will own the roadmap, backlog, launch readiness, adoption measures, and continuous improvement cycle for the product. Recruiting for this role ends on 9/30/2026. Work you'll do You will own the Mobile App from discovery through release, adoption, and continuous improvement. Your work will include: Own the Mobile App vision, roadmap, backlog, release plan, and success measures across fan-facing content, identity, engagement, personalization, and commerce experiences. Conduct fan, client, and stakeholder discovery to define user problems, journeys, data needs, business outcomes, and product priorities. Create requirements, user stories, acceptance criteria, mobile flows, prototypes, data definitions, and measurement plans. Partner with Mobile Architecture, iOS and Android Engineering, Backend Engineering, Data, and Design to sequence work and resolve tradeoffs. Define required APIs, identity, event data, content, notification, personalization, and measurement capabilities with Engineering and Data partners. Lead backlog grooming, sprint reviews, demonstrations, release readiness, App Store or Play Store coordination, and post-launch evaluation. Balance market needs with reusable architecture, shared components, configuration, and mobile product scalability. Track adoption, engagement, retention, experience quality, data quality, implementation effort, and commercial feedback. Develop product narratives, demo flows, sales enablement materials, and roadmap communications for the Mobile App. Define AI-native or agentic mobile experiences using trusted data, clear permissions, evaluation criteria, and human review points. The successful candidate would possess these skills: Ability to connect fan needs, sports business outcomes, mobile journeys, data structures, and software behavior. Structured product thinking that turns ambiguous needs into testable requirements and measurable outcomes. Clear communication with executives, product leaders, data scientists, engineers, designers, and delivery teams. Hands-on ownership of requirements, backlog, demonstrations, metrics, and release decisions. Collaborative influence across matrixed teams without relying on direct authority. Curiosity about fan behavior, mobile engagement, content, loyalty, commerce, and AI-enabled digital experiences. Qualifications Required: Bachelor's degree in Business, Engineering, Computer Science, Data Science, Economics, Information Systems, or a related field, or equivalent professional experience. 5+ years of experience in product management, data product management, analytics consulting, product strategy, or digital product delivery. 3+ years of experience managing roadmaps, backlogs, user stories, acceptance criteria, releases, or product metrics for software, data, or analytics products. 2+ years of experience working directly with mobile engineering, design, data engineering, data science, BI, AI/ML, or advanced analytics teams. Experience defining mobile requirements, data needs, metrics, event schemas, APIs, or analytical outputs for at least one product. Experience using Agile product tools such as Jira, Azure DevOps, Confluence, Productboard, or comparable platforms for at least one year. Experience taking at least one product capability from discovery through production release and post-launch measurement. Ability to travel up to 25%, on average, based on client, market, and product needs. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: 2+ years of experience in sports, media, entertainment, sponsorship, fan engagement, CRM, ticketing, loyalty, or adjacent consumer industries. Experience with mobile applications, identity, CRM, loyalty, ticketing, personalization, segmentation, recommendation, content, or mobile analytics. Hands-on SQL experience or experience using BI tools to validate data, metrics, and product behavior. Experience defining or launching GenAI or agentic product features, including grounding, tool use, evaluation, or human-in-the-loop workflows. Graduate degree in Business, Engineering, Computer Science, Data Science, or a related field. The wage range for this role takes into account the wide range of factors considered in compensation decisions, including skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200-$229,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Requisition code: 360492 Job ID 360492


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