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Data Intelligence Jobs in Michigan (NOW HIRING)

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

R3 Tek

Data Analyst

Detroit, MI

Work with business and vendor partners, and project delivery leads to determine business data intelligence needs. Interpret and document the data needs for the business. * Analyze program needs and ...

Whisker

Head of Data

Auburn Hills, MI · On-site

As Head of Data, ML & Business Intelligence, you will organize and lead Whisker's centralized data organization. This role is responsible for unifying a fragmented data environment into a structured ...

Sutherland

SAP BTP Lead

Troy, MI · On-site

Ensure integration solutions are designed to meet business requirements for real-time data processing, business intelligence, and operational efficiency. * Utilize middleware tools and technologies ...

Sutherland

SAP BTP Lead

Troy, MI

Ensure integration solutions are designed to meet business requirements for real-time data processing, business intelligence, and operational efficiency. * Utilize middleware tools and technologies ...

Kinexus Group

Data Coordinator

Benton Harbor, MI · On-site

This responsibility requires that we be service oriented relative to the data needs of all departments, emphasizing the importance of data intelligence and analysis in driving informed decision ...

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All JobsData Intelligence JobsData Intelligence Jobs in Michigan

Data Intelligence information

See Michigan salary details

$69.3K

$115.7K

$155.6K

How much do data intelligence jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data intelligence in Michigan is $115,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $127,700.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data intelligence roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning, along with building a portfolio, can help late entrants succeed regardless of age.

What is the highest paying job in data?

In data-related fields, chief data officers and data executives typically earn the highest salaries, often exceeding six figures annually. Senior roles that involve strategic decision-making, data governance, and advanced analytics tend to have the highest compensation, especially with experience in machine learning, big data tools, and leadership skills.

What is a Data Intelligence job?

A Data Intelligence job involves collecting, analyzing, and interpreting data to support decision-making and business strategy. Professionals in this field use various tools and techniques, including data mining, machine learning, and visualization, to uncover insights and trends. They work closely with stakeholders to translate data into actionable recommendations, improving efficiency and innovation. Roles may vary from data analysts to data scientists, depending on the organization's needs and complexity.

What does data intelligence do?

Data intelligence involves collecting, analyzing, and interpreting large volumes of data to help organizations make informed decisions. Data analysts and data scientists use tools like SQL, Python, and data visualization software to uncover insights, identify trends, and support strategic planning.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and communicate findings, which require human judgment and domain expertise. Skills in data visualization, statistical analysis, and tools like SQL and Python remain essential in the evolving field.

What are the typical daily responsibilities of a Data Intelligence professional?

A Data Intelligence professional typically spends their workday collecting, processing, and analyzing large datasets to uncover trends and actionable insights. They often collaborate with cross-functional teams, such as business analysts, product managers, or IT professionals, to define data requirements and support ongoing projects. Additional responsibilities may include creating dashboards or reports, ensuring data accuracy and integrity, and communicating findings to both technical and non-technical stakeholders. Frequent problem-solving, adapting to shifting priorities, and keeping up with the latest analytical tools are also common aspects of the role.

What are the key skills and qualifications needed to thrive in the Data Intelligence position, and why are they important?

To thrive in Data Intelligence, you need strong analytical skills, a solid understanding of data science principles, and a background in fields such as statistics, computer science, or information systems. Familiarity with tools like SQL, Python, Tableau, and experience with data warehousing and business intelligence platforms are highly valuable, as are certifications such as Certified Analytics Professional (CAP) or related credentials. Excellent problem-solving abilities, effective communication, and a collaborative mindset help drive actionable insights from complex datasets. These skills are essential for translating raw data into meaningful intelligence that guides business strategy and decision-making.

What are popular job titles related to Data Intelligence jobs in Michigan? For Data Intelligence jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Intelligence jobs in Michigan look for? The top searched job categories for Data Intelligence jobs in Michigan are:
Data Intelligence jobs near you

Director of Data Intelligence

Vervint

Grand Rapids, MI • On-site, Remote

Full-time

Posted 16 days ago

Job description

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred
Role Snapshot:
  • Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice.
  • Build the Practice: Stand up and scale offerings, capabilities, and team from the ground up.
  • Drive Growth: Deliver revenue expansion and measurable client impact.
  • Lead in the Market: Establish Vervint's presence and thought leadership in Data amp; AI.
  • Bring a Network: Leverage existing client relationships and/or a strong market presence to accelerate growth.
As the Director of Data Intelligence (AI), you will lead the development and execution of Vervint’s Data, Analytics amp; AI Practice. This is a builder role—responsible for defining service offerings, forming strategic partnerships, and driving both new business and client expansion.
Reporting to the President amp; Chief Consulting Officer, this leader is accountable for positioning Data amp; AI as a core growth engine for the firm. You’ll bring a mix of strategic vision, hands-on leadership, and technical expertise to deliver meaningful outcomes for clients while building a differentiated, scalable practice.
What You'll Accomplish:
Strategy amp; Leadership
  • Define and own the firm’s data, analytics, and AI vision, strategy, and roadmap.
  • Define and execute the vision, strategy, and roadmap for the Data and AI Practice, including service offerings, go-to-market strategies, and operational capabilities.
  • Represent Vervint at industry events, conferences, and webinars to showcase expertise in Data and AI.
  • Advise ELT on data-driven decision-making and AI opportunities that align with our business objectives.
  • Lead cross-functional alignment on data and AI initiatives across Sales, Practices, Finance, and Talent.
Client-Facing Innovation
  • Identify, engage, and acquire new customers by leveraging industry relationships, market insights, and sales strategies to drive revenue growth.
  • Serve as a strategic advisor and thought leader to clients on data and AI solutions.
  • Lead development and delivery of innovative Data and AI solutions, frameworks, and methodologies that address market demands and customer needs.
  • Establish and maintain relationships with key technology providers, vendors, and industry stakeholders to enhance the practice’s capabilities.
  • Partner with Sales and Practices to embed data/AI into client offerings, proposals, and go-to-market strategies.
Team Building amp; Capability Development
  • Build and lead a high-performing team of data scientists, analysts, and engineers.
  • Promote a culture of innovation, experimentation, and continuous learning in data and AI.
  • Drive upskilling and data literacy across the organization.
AI IP amp; Emerging Technologies
  • Lead development of reusable frameworks, models, and IP that can be leveraged across client engagements.
  • Evaluate and recommend emerging tools and technologies for AI, data engineering, and analytics.
Governance amp; Ethical AI
  • Ensure responsible, ethical, and compliant use of data and AI.
  • Develop internal policies and frameworks for fairness, transparency, and risk mitigation in partnership with the internal IS team.
What You'll Bring:
  • A balance of strategic thinking and hands-on leadership.
  • Experience in business development, sales, and revenue growth strategies.
  • Ability to craft compelling proposals and present Data and AI solutions to executive-level stakeholders.
  • Passion for innovation and measurable impact.
  • Ability to bridge business strategy and technical execution.
  • A collaborative, entrepreneurial mindset aligned with a fast-paced, high-growth environment.
  • Proven success developing, executing, and selling enterprise data and AI strategies.
  • Deep expertise in data architecture, advanced analytics, machine learning, and emerging AI technologies.
  • Track record of building high-performing technical teams and scaling capabilities.
  • Strong executive presence and ability to communicate complex concepts to both technical and non-technical stakeholders.
Education/Experience:
  • 8+ years of experience in data, analytics, or AI leadership roles, preferably in a consulting or professional services environment.
  • Bachelor's degree in a related field required; Master’s in Data Science, Computer Science, Engineering, or related field strongly preferred.
You Belong. At Vervint, we embrace all facets of identity that make you - you. From race, gender identity, and veteran status to disabilities and more, your lived experiences enrich everyone around you. We know when we create an environment of safety and respect for individuals and their identities, we all do our best work. That is why we celebrate our diversity, foster equity, and champion inclusion within our company, the work we do, and our communities. As we work together, we commit to continuous growth, learning from our mistakes, and expanding on our caring culture to bring our values to life.

Vervint is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veterans status, familial status, membership or activity in a local human rights commission, status regarding public assistance or any other characteristic protected by federal, state, or local laws, and will not be discriminated against on the basis of disability.

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