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Contract Data Management Jobs in Michigan (NOW HIRING)

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Bachelor's in Data Management, Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid) * Responsible for designing, building ...

QUANTUM TECHNOLOGIES LLC

Data Analyst

Brooklyn, MI · On-site

$80/hr

W2 Contract Client: To Be Discussed Later Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD ... Brooklyn, NY 11201 The Senior Data Analyst with ETL Expertise shall provide Client Data Management ...

New

Endeavors

$17.60 - $22/hr

This role supports Case Managers, Supervisors, and Program Leadership by maintaining data integrity, generating reports for internal use and external contract compliance, and reconciling program data ...

Ford Motor Company

Data / Information Architect

Dearborn, MI · On-site

$58.75 - $75.50/hr

... creating contracts, and provide architectural guidance for the implementation of the IS data ... Knowledge of Master Data Management concepts and tools * Functional and Architecture Experience ...

SER Metro-Detroit

Youth Data and Program Lead

Detroit, MI · On-site

$53K - $58K/yr

... or data management. * Strong analytical ability to interpret performance trends, resolve reporting issues, and improve contract outcomes. * Excellent communication and relationship-building skills ...

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All JobsContract Data Management JobsContract Data Management Jobs in Michigan

Contract Data Management information

See Michigan salary details

$27K

$84.7K

$149.9K

How much do contract data management jobs pay per year?

As of Aug 7, 2026, the average yearly pay for contract data management in Michigan is $84,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $109,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in contract data management, and how can they be addressed?

Professionals in Contract Data Management often encounter challenges such as handling large volumes of contracts, ensuring data accuracy, and maintaining compliance with regulatory requirements. Managing multiple contract versions and tracking key dates or obligations can also be complex. These challenges can be mitigated by using robust contract management software, establishing standardized processes for data entry and review, and fostering strong communication with legal, procurement, and business teams. Regular training and clear documentation also help ensure data integrity and operational efficiency.

What is contract data management?

Contract data management refers to the process of organizing, storing, tracking, and analyzing data related to contracts within an organization. This involves managing all contract documents, key dates, obligations, compliance requirements, and performance metrics to ensure that contractual agreements are properly executed and monitored. Effective contract data management helps reduce risk, improve compliance, and optimize business relationships by providing easy access to contract information and supporting informed decision-making.

What is the difference between Contract Data Management vs Contract Analyst?

AspectContract Data ManagementContract Analyst
Primary FocusManaging and organizing contract data, ensuring data accuracy and accessibilityAnalyzing contract terms, financials, and compliance
Skills & CertificationsData management, database tools, attention to detailContract law, financial analysis, negotiation skills
Work EnvironmentAdministrative, data-driven roles within procurement or legal teamsContract review, negotiation, and analysis in legal or procurement departments

Contract Data Management focuses on organizing and maintaining contract information, while Contract Analysts analyze contract details to support decision-making. Both roles are essential in contract lifecycle management but serve different functions within organizations.

What are the key skills and qualifications needed to thrive in contract data management, and why are they important?

Excelling in Contract Data Management requires strong analytical abilities, attention to detail, and a background in business administration, law, or a related field. Familiarity with contract lifecycle management (CLM) software, databases, and proficiency in tools like Microsoft Excel are typically necessary, with certifications such as CFCM (Certified Federal Contracts Manager) being advantageous. Exceptional organizational skills, effective communication, and problem-solving abilities help professionals manage complex contract data and collaborate with stakeholders. These skills ensure accurate data management, mitigate risks, and support compliance with legal and organizational requirements.
What are the most commonly searched types of Data Management jobs in Michigan? The most popular types of Data Management jobs in Michigan are:
What cities in Michigan are hiring for Contract Data Management jobs? Cities in Michigan with the most Contract Data Management job openings:
Contract Data Management jobs near you

Data Scientist

Geologics

Sterling Heights, MI • Hybrid

$52 - $62/hr

Contractor

PTO

Re-posted 27 days ago

Job description

 

GeoLogics is working with a top Aerospace and Defense client looking for a Data Scientist in Sterling Heights, MI - Hybrid.

Role: Data Scientist

Client: Top Aerospace and Defense company

Location: Sterling Heights, MI - Hybrid (Goal is to be 3 days on, 2 day remote) 

Schedule/Travel: 9/80 with 10% travel

Education: Bachelor's in Data Management, Data Science, Math, Statistics

Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid)

Job Description

  • Responsible for designing, building, and maintaining the data infrastructure, including databases, data warehouses, and data pipelines. 
  • Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights. 
  • Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting. 
  • Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes. 
  • Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed. 
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs. 
  • Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation. 
  • Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWSCloud Environments through data transformation within Power BI.

Skills Required

  • Excellent oral and written communications. 
  • Proven ability to work within teams in which your contributions are critical to success. 
  • Exceptional analytic skills with some knowledge of probability and statistics and mathematical programming. 
  • Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL.
  • Familiarity with Atlassian Jira or ServiceNow. 
  • Proficiency with server usage and troubleshooting. 
  • Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment.
  • Must be able to work independently to research, analyze, and form solutions. 
  • Must be able to translate data into information; resulting in data-driven actions/recommendations.
  • Proficiency in areas such as probability and statistics, applied mathematics, Mathematical programming (linear, nonlinear, integer), Network analysis, Queuing theory, and Economic evaluation. 
  • Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process. 
  • Must have ability to work in a cross-functional team environment Ability to develop solutions to complex problems. 
  • Ability to make decisions with sound judgment while complying with policies and procedures.
  • Experience developing requirements for collection of and follow on use of data to inform the organization. 
  • Working knowledge of technical concepts, strategies, methodologies, architectures, and technical standards. 
  • Self-starter with excellent attention to detail and able to stay organized.

Must Have Knowledge:

  • AWS Medallion architecture including AWS Redshift
  • Data Cataloguing tools like Collibra
  • Data Transformation tools like Dataiku
  • Dashboarding tools like PowerBI or Tableu
  • Collecting Data from various sources
  • Troubleshoot issues with data infrastructure, monitor systems
 
Andrew Gephart

(703) 891-6133
agephart@geologics.com

*Rates listed are not a guarantee of salary/rate.  Rate offered at time of hire will depend on many factors including education, experience, interview results and skill level

GeoLogics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran



Education:DegreeEmployment Type: CONTRACTOR

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