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Data Leader Jobs in Michigan (NOW HIRING)

You'll work closely with our Senior Data Analyst leadership to support operations, call center, and servicing reporting needs ultimately enabling our team leaders to make data-driven decisions that ...

You'll work closely with our Senior Data Analyst leadership to support operations, call center, and servicing reporting needs ultimately enabling our team leaders to make data-driven decisions that ...

Data is a pillar of our core values; it fuels more informed and efficient decision-making and ... Join a leadership team dedicated to creating enormous and measurable value for our customers. About ...

Data Architect

Farmington Hills, MI · On-site

$62.75 - $80.75/hr

Data Architect, Farmington Hills, Michigan We are looking for a Data Architect that has some ... technical leadership roles and eventually Architect positions. If a candidate jumps into ...

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 ...

Data Architect

Saint Joseph, MI · On-site

$60.25 - $77.50/hr

... leadership in all phases of a project from discovery and planning through implementation and delivery o Work through all stages of a data solution life cycle: analyze/profile data, create conceptual ...

Identify business problems or leader objectives that can be addressed through data analysis * Identify relationships and trends or any factors that could affect the results of research * Identify and ...

Identify business problems or leader objectives that can be addressed through data analysis * Identify relationships and trends or any factors that could affect the results of research * Identify and ...

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Data Leader information

What jobs pay 500,000 a year in the US?

In the US, high-level executive roles such as CEOs, CFOs, and other C-suite executives often earn $500,000 or more annually. Additionally, specialized roles like senior investment bankers, certain medical specialists, and successful entrepreneurs can reach or exceed this income level, especially with bonuses, stock options, or profit sharing. For a Data Leader, top executive positions in large corporations or successful tech companies may also offer compensation in this range, often tied to company performance and requiring extensive experience and leadership skills.

What is the difference between Data Leader vs Data Analyst?

AspectData Leader
ResponsibilitiesStrategic data management, setting data vision, leading data teams
Skills & CertificationsData strategy, leadership, advanced analytics, often with certifications like CDMP or DAMA
Work EnvironmentExecutive-level, cross-departmental collaboration, senior management
FocusHigh-level data governance, business impact, long-term data strategy

While a Data Leader focuses on strategic oversight, governance, and leading data initiatives at an organizational level, a Data Analyst primarily handles data analysis, reporting, and supporting decision-making through data insights. Both roles require strong analytical skills, but the Data Leader emphasizes leadership and strategy, whereas the Data Analyst concentrates on technical analysis and data interpretation.

What are the key skills and qualifications needed to thrive as a Data Leader, and why are they important?

To thrive as a Data Leader, you need expertise in data analytics, data management, and strategy, often backed by an advanced degree in a quantitative field and experience in data-centric roles. Familiarity with tools like SQL, Python, data visualization platforms (e.g., Tableau, Power BI), and cloud data systems is typically required. Strong leadership, communication, and stakeholder management skills help drive organizational alignment and data-driven decision-making. These competencies are crucial for shaping effective data strategies, ensuring data quality, and delivering business value through insights.

What is a Data Leader?

A Data Leader is a senior professional responsible for developing and implementing an organization’s data strategy, ensuring that data assets are effectively managed and leveraged to drive business value. They oversee data governance, data quality, analytics initiatives, and often manage teams of data scientists, engineers, and analysts. Data Leaders play a key role in shaping data-driven decision-making, aligning data projects with business objectives, and ensuring compliance with data regulations. Their work helps organizations unlock insights from data, improve operations, and gain a competitive advantage.

Is 40 too late for data science?

For a Data Leader or anyone pursuing a data science career, age is generally not a barrier. Success depends more on skills, experience, and continuous learning, such as mastering tools like Python or SQL, than on age. Many professionals transition into data roles later in their careers and find success through relevant certifications and practical experience.

What jobs pay 200,000 a year in the USA?

For a Data Leader or senior data executive roles, annual salaries of $200,000 or more are common, especially in large organizations or tech companies. These positions often require extensive experience, advanced skills in data strategy, analytics, and leadership, and may include roles such as Chief Data Officer or Vice President of Data. Compensation can also be influenced by industry, location, and the complexity of data initiatives.

What jobs in the US pay 300,000 a year?

Data Leaders, such as Chief Data Officers or senior data executives, can earn $300,000 or more annually, especially in large organizations or industries like finance, technology, and consulting. These roles typically require extensive experience, advanced skills in data management and analytics, and often involve leadership responsibilities and strategic decision-making.

How do Data Leaders typically balance strategic oversight with hands-on involvement in data projects?

Data Leaders often face the challenge of balancing high-level strategy with direct involvement in data initiatives. While their primary responsibility is to set the vision for data governance, analytics, and architecture, they also need to stay engaged with teams to ensure alignment and remove obstacles. This often means participating in key project meetings, reviewing major deliverables, and facilitating communication between technical and business stakeholders. Effective Data Leaders delegate operational tasks but remain accessible for critical decision-making and mentorship, fostering both team autonomy and strategic coherence.
What cities in Michigan are hiring for Data Leader jobs? Cities in Michigan with the most Data Leader job openings:
Infographic showing various Data Leader job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Architect

$150/day

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Other locations may be considered

GreenStone Farm Credit Services is seeking a Data Architect to lead the vision, design, and governance of our enterprise data architecture. This role is instrumental in shaping the longterm data strategy that supports scalable, secure, and compliant data platforms, analytics, and business intelligence capabilities across the organization.

Operating within a SAFe Agile Release Train (ART), the Data Architect provides architectural direction, establishes standards, and ensures alignment between business priorities, regulatory requirements, and technical execution. This position partners closely with Product Managers, Product Owners, Data Leaders, and ART leadership to guide solution design, manage dependencies, and maintain a sustainable architectural runway.

The ideal candidate is a strategic thinker with deep technical expertise, strong communication skills, and a passion for building data ecosystems that are interoperable, governed, and built for longterm success. This role also plays a critical part in safeguarding the confidentiality, integrity, and availability of enterprisesensitive data

Get to know GreenStone

Our $15 billion portfolio of customers, ranging from rural homeowners to global agriculture and food businesses, provides our employees with a unique opportunity to maintain a local presence while working for a top workplace. Our diverse business structure provides exciting opportunities for passionate, talented professionals in many areas. Additionally, many of our team members are highly respected in their area of expertise at both the state and national level making GreenStone one of the top Farm Credit associations in the country.

 

Culture

Core Four values steer everything we do at GreenStone. Customer First, Delivery Quality, Get involved, Do the right thing. Employees work as a team to create a company fueled by the desire to best serve each other and our customers every day. Greenstone culture promotes innovative thinking, professional development, health and wellness, and a relaxed work environment with flexible schedules.

 

What can we offer you?

GreenStone trusts the people we hire. We empower employees to make the best decisions for the customer and the company.

GreenStone has an outstanding Total Rewards package, which includes, but is not limited to:

  • 15 vacation days, 12 sick days, and 12 paid holidays per year
  • 401(k) plan - up to a 9% employer contribution/match
  • Medical, Dental, Vision, STD, LTD, Life/AD&D benefits, etc.
  • $150/year Logo Wear allowance
  • $400/year Wellness Subsidy/Reimbursement & wellness programs
  • $6,000 lifetime maximum Student Debt repayment program or tuition reimbursement
  • Yearly bonus/incentive opportunity available to all benefit eligible employees

 

Key Responsibilities

Strategy, Vision & Roadmaps

  • Define and maintain the enterprise data architecture vision and multiyear roadmap
  • Establish architectural direction for data platforms, integrations, analytics, and BI solutions
  • Align data architecture strategy with business priorities, regulatory requirements, and enterprise technology direction
  • Serve as a strategic partner to Product Owners and ART leadership to ensure architectural alignment with delivery plans
  • Stay current with emerging data technologies, trends, and best practices

 

Planning & Execution Enablement

  • Translate architectural strategy into executable initiatives in partnership with Data Platform, Analytics, and Insights leaders
  • Participate in PI planning, backlog refinement, and architectural runway development
  • Review and guide solution designs to ensure adherence to architectural standards and principles
  • Identify and manage architectural dependencies and crossteam impacts within the ART

 

Standards, Governance & Quality

  • Define and maintain data architecture standards, patterns, and reference architectures
  • Ensure solutions meet confidentiality, integrity, and availability requirements for sensitive data
  • Collaborate with governance, security, and compliance teams to ensure architectural alignment
  • Promote consistency, reuse, and longterm sustainability of data solutions across the enterprise

 

Collaboration & Influence

  • Serve as a trusted advisor to business and technology stakeholders
  • Communicate architectural decisions, tradeoffs, and impacts in a clear and accessible manner
  • Mentor teams on architectural best practices without direct peoplemanagement responsibilities
  • Drive continuous improvement through learning, feedback, and architectural evolution

 

Qualifications

 

  • Bachelor's degree required; Degree in computer science, math, economics, statistics, business, data engineering, information services or related field preferred
  • 10+ years of experience in data engineering, data architecture, quantitative analytics, or a similar technical role is required
  • 3+ years of experience using Databricks or similar platform is required
  • 5+ years of experience in a regulated industry (e.g., banking, healthcare) is preferred
  • Strong expertise in data modeling (conceptual, logical, physical, dimensional)
  • Deep understanding of modern data architectures, including cloud platforms, lakehouse patterns, streaming, and integrations
  • Familiarity with data governance, security, privacy, and regulatory frameworks
  • Experience working in Agile or SAFe environments

GreenStone Farm Credit Services is an equal opportunity employer. It is our policy to provide equal employment opportunity to all persons regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, or any other characteristic protected by law. We comply with all federal, state and local equal employment opportunity regulations. We conduct all personnel decisions and processes relating to our employees and job applicants in an environment free of discrimination and harassment.