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Program Manager Data Analytics Jobs in Detroit, MI

By combining deep industry expertise with advanced analytics and artificial intelligence, we enable ... We also offer additional programs focused on wellness, financial security, and professional growth.

By combining deep industry expertise with advanced analytics and artificial intelligence, we enable ... We also offer additional programs focused on wellness, financial security, and professional growth.

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Collect data from customers, suppliers, Bill of Material, and other resources to prepare ... Working knowledge of program management tools (risk analyses, communication plans, timing plans ...

Collect data from customers, suppliers, Bill of Material, and other resources to prepare ... Working knowledge of program management tools (risk analyses, communication plans, timing plans ...

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... Query, analyze, and summarize large and complex datasets to drive business strategy and decision ...

Collect data from customers, suppliers, Bill of Material, and other resources to prepare ... Working knowledge of program management tools (risk analyses, communication plans, timing plans ...

Collect data from customers, suppliers, Bill of Material, and other resources to prepare ... Working knowledge of program management tools (risk analyses, communication plans, timing plans ...

Collect data from customers, suppliers, Bill of Material, and other resources to prepare ... Working knowledge of program management tools (risk analyses, communication plans, timing plans ...

The Program Manager (PM) will lead the implementation and operations of a residential energy ... Ability to analyze, interpret and synthesize data and information along with strong computer skills ...

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Showing results 1-20

Program Manager Data Analytics information

See Detroit, MI salary details

$38.1K

$106.4K

$155.4K

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

As of Jul 13, 2026, the average yearly pay for program manager data analytics in Detroit, MI is $106,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,700.00 and $131,200.00 per year, depending on experience, location, and employer.

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

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

What are the key skills and qualifications needed to thrive as a Program Manager in Data Analytics, and why are they important?

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.
What are popular job titles related to Program Manager Data Analytics jobs in Detroit, MI? For Program Manager Data Analytics jobs in Detroit, MI, the most frequently searched job titles are:
What cities near Detroit, MI are hiring for Program Manager Data Analytics jobs? Cities near Detroit, MI with the most Program Manager Data Analytics job openings:
Infographic showing various Program Manager Data Analytics job openings in Detroit, MI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,382 per year, or $51.1 per hour.
Manager, Data Science

Manager, Data Science

OneMagnify

Detroit, MI • On-site

Full-time

Medical, Dental, Vision, Retirement

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


Job description

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.
Role Summary
As a Manager of Data Science at OneMagnify, you'll lead a team focused on turning complex data into decisions that drive measurable business outcomes. You'll sit at the center of our DAAI Data Science team, connecting client strategy with advanced modeling, machine learning, and modern data platforms. This role owns both the work and the team, setting direction across projects, developing talent, and ensuring what we build is technically sound, deployed, and used to influence real business decisions.
The Impact You'll Have:
You'll shape how leading brands use data science to improve marketing, customer strategy, forecasting, and performance. This role spans a broad range of work, from predictive modeling and optimization to advanced measurement and decision-support solutions. The outputs are not just models, they are tools clients use to make smarter investment, operational, and growth decisions.
This role is central to how OneMagnify delivers integrated solutions. You'll work across strategy, media, marketing, and engineering teams to ensure models are not only technically sound, but deployed into platforms, campaigns, and workflows where they drive measurable results. Because we operate across data, media, and technology, you'll see your work move quickly from model to activation in a way most data science roles do not.
You'll also help standardize how we build and deploy models, establishing approaches for model governance, documentation, and responsible AI that scale across clients and industries.
What you'll do:
Lead Advanced Modeling Solutions
  • Own the design and delivery of machine learning models and statistical solutions that directly inform client decisions
  • Lead a range of analytical approaches, including predictive modeling, forecasting, optimization, segmentation, and measurement frameworks based on client need
  • Ensure outputs are clear, actionable, and tied to measurable business outcomes across marketing, customer, and operational use cases
Translate Business Problems into Scalable Solutions
  • Partner with client and internal strategy teams to define the right analytical approach for each business challenge
  • Turn ambiguous questions into structured modeling frameworks, project plans, and measurable outcomes
  • Align modeling work to business KPIs such as media efficiency, customer acquisition, and revenue growth
Drive Production-Ready Data Science
  • Guide the development of production-grade pipelines using platforms like Databricks and Azure Machine Learning
  • Partner with engineering teams to deploy models into live environments and operational workflows
  • Continuously improve model performance so outputs remain trusted, relevant, and actively used by the business
Lead and Grow a High-Performing Team
  • Manage and mentor data scientists and analysts, strengthening both technical expertise and business acumen
  • Set clear direction across projects while supporting individual development and growth
  • Provide feedback, coaching, and support across multiple initiatives
Collaborate Across Disciplines
  • Work across strategy, media, marketing, and engineering teams to deliver integrated, end-to-end solutions
  • Present complex findings in a way that drives alignment and action across both technical and non-technical stakeholders
  • Bridge the gap between advanced modeling and real-world business execution
Evolve Our Data Science Capability
  • Identify and test new tools, data sources, and modeling approaches that improve how we solve client problems
  • Contribute to standards for model governance, documentation, and responsible AI
  • Help shape how we use platforms like Snowflake and Databricks to scale delivery
What you'll need:
  • 5-7+ years of experience in data science, advanced analytics, or predictive modeling
  • Proven experience leading data science teams, setting technical direction, and delivering complex, high-impact projects
  • Strong programming skills in Python (preferred) or R for modeling and analysis
  • Advanced SQL and experience working in cloud-based environments (Azure, AWS, or similar)
  • Deep understanding of regression, classification, clustering, A/B testing, and audience segmentation
  • Experience building or leading advanced modeling solutions such as predictive models, forecasting, optimization, MMM, MTA, or related decisioning frameworks
  • Hands-on experience with platforms like Databricks, Azure Machine Learning, and/or Snowflake
  • Ability to translate complex analytical outputs into clear, actionable business insights
  • Bachelor's degree in a quantitative field (Master's preferred)
  • Experience in marketing, digital, consulting, or data-driven services environments

Future-Ready Skills (Nice to Have):
  • Deep experience working with complex, multi-source data environments, including MDM concepts and data alignment across systems
  • Experience applying MLOps practices, including model monitoring, feature stores, and end-to-end model lifecycle management
  • Experience working in Martech or Adtech data environments, including CRM analytics, audience segmentation, and campaign measurement
  • Experience working with marketing technology ecosystems such as CRM, CDP, and media platforms
  • Experience working in consulting, digital agency, or marketing services environments with multiple client data ecosystem

Benefits
We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.
We are an equal opportunity employer
We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.