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Program Manager Data Analytics Jobs in Michigan (NOW HIRING)

Deloitte

Data Analytics Manager- Data Lake

Detroit, MI · On-site

Traditional security programs have often been unsuccessful in unifying the need to both secure and ... As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions ...

Stefanini

Technical Program Manager

Dearborn, MI

$118.80K - $153.80K/yr

... analysis and reporting, presenting the data in a clear format for presentations and reviews Identify risks and create risk mitigation plans to ensure timely completion of the projects/programs Manage ...

University of Michigan

Program Manager

Ann Arbor, MI · On-site

The Program Manager?s portfolio will include administrative operations, reporting, and data ... Collaborate with analytics partners on the creation and maintenance of high-quality, governed data ...

Munich Re

Technical Architect - Data, Analytics & AI

Livonia, MI · Hybrid

$59.75 - $76.75/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid ...

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Program Manager Data Analytics information

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.

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 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 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.

What are popular job titles related to Program Manager Data Analytics jobs in Michigan? For Program Manager Data Analytics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Program Manager Data Analytics jobs in Michigan look for? The top searched job categories for Program Manager Data Analytics jobs in Michigan are:
What cities in Michigan are hiring for Program Manager Data Analytics jobs? Cities in Michigan with the most Program Manager Data Analytics job openings:
Program Manager Data Analytics jobs near you
Data Analytics Manager- Data Lake

Data Analytics Manager- Data Lake

Deloitte

Detroit, MI • On-site

Other

Posted 4 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Senior Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions for clients. You will oversee workstreams, manage client relationships, guide solution design and delivery, and help develop practitioners while driving high-quality outcomes across cyber detection, response, and resilience engagements.

Recruiting for this role ends on 5/31/2026

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working  at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

  • Lead the design and modernization of large-scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement scalable as-a-service operating models
  • Architect and deploy advanced cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, and platforms such as Splunk, CrowdStrike, and Palo Alto
  • Oversee day-to-day operations, maintenance, and ongoing enhancement of data platforms and applications, including governance and AI-enabled Data Ops capabilities
  • Help clients mature their AI and Analytics journey by shaping roadmaps, scaling use cases, and aligning cyber analytics investments to business and operational outcomes

Qualifications:

Required:

  • 6+ years of relevant analytics consulting or industry experience
  • 4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.)
  • 4+ years of experience in statistical analysis, machine learning, and data mining techniques
  • 4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions
  • 3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
  • 2+ years of experience with SOC threat hunting and incident response
  • Demonstrated expertise leading multiple full life cycle analytics engagements across strategy, design, and implementation
  • Experience leading teams, managing workstreams, and driving delivery quality in a client-facing environment
  • Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
  • Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
  • Experience parsing and normalizing cyber or IT specific telemetry datasets
  • Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
  • Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
  • Ability to work independently and manage multiple task assignments.
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
#CDRCyber26
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to 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 are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,200 to $265,600.
Qualifications:

Senior Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions for clients. You will oversee workstreams, manage client relationships, guide solution design and delivery, and help develop practitioners while driving high-quality outcomes across cyber detection, response, and resilience engagements.

Recruiting for this role ends on 5/31/2026

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working  at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

  • Lead the design and modernization of large-scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement scalable as-a-service operating models
  • Architect and deploy advanced cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, and platforms such as Splunk, CrowdStrike, and Palo Alto
  • Oversee day-to-day operations, maintenance, and ongoing enhancement of data platforms and applications, including governance and AI-enabled Data Ops capabilities
  • Help clients mature their AI and Analytics journey by shaping roadmaps, scaling use cases, and aligning cyber analytics investments to business and operational outcomes

Qualifications:

Required:

  • 6+ years of relevant analytics consulting or industry experience
  • 4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.)
  • 4+ years of experience in statistical analysis, machine learning, and data mining techniques
  • 4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions
  • 3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
  • 2+ years of experience with SOC threat hunting and incident response
  • Demonstrated expertise leading multiple full life cycle analytics engagements across strategy, design, and implementation
  • Experience leading teams, managing workstreams, and driving delivery quality in a client-facing environment
  • Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
  • Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
  • Experience parsing and normalizing cyber or IT specific telemetry datasets
  • Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
  • Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
  • Ability to work independently and manage multiple task assignments.
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
#CDRCyber26
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to 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 are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,200 to $265,600.
Education:Bachelor's DegreeEmployment Type:

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