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Contract Data Management Jobs in Michigan (NOW HIRING)

Data Architect II

Lansing, MI ยท On-site

$55 - $60/hr

Contract Pay Rate: based on experience, skills, and engagement type Duration: Long Term Interview ... Key Responsibilities - Architect and design BI solutions for accessing, managing, and analyzing ...

Contracts Manager (TS/CSI) {S}

Ypsilanti, MI ยท Hybrid

$80K - $107K/yr

Legal, Business Development, Program Management, Engineering, Finance, Supply Chain etc.) in ... Support Contract data input/entry into SAP Required Qualifications: * Minimum of 5 years relevant ...

Data Management LOCATION: 9301 Michigan Avenue (Southwest) REPORTS TO: Sr. Assistant Vice President ... Detroit contracts/services. Analyzes performance outcomes by comparing actual to planned goals ...

Data Management LOCATION: 9301 Michigan Avenue (Southwest) REPORTS TO: Sr. Assistant Vice President ... Detroit contracts/services. Analyzes performance outcomes by comparing actual to planned goals ...

Contracts Manager (TS/CSI) {S}

Ypsilanti, MI ยท On-site

$80K - $107K/yr

Legal, Business Development, Program Management, Engineering, Finance, Supply Chain etc.) in ... Support Contract data input/entry into SAP Required Qualifications: * Minimum of 5 years relevant ...

... contract opportunity supporting a sales organization with tariff recovery data management. This position is ideal for someone with exceptional data entry accuracy, strong organizational skills, and ...

Data Scientist

Sterling Heights, MI ยท 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 ...

Showing results 21-40

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:

Data Governance Manager

Strategic Staffing Solutions

Detroit, MI โ€ข Hybrid

Full-time, Contractor

Re-posted 15 days ago


Job description

Job Description STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING. Data Governance Manager Detroit, MI (Hybrid/Onsite Tues-Thurs) W2 contract role 12 months with potential for contract-to-hire Competitive salary with benefits As we continue expanding the Digital Transformation organizational roles, we're looking to bring on a Data Governance Manager who can help us to implement the Data Governance program. This role will be responsible for implementing and evolving the enterprise governance framework to ensure data is trusted, secure, compliant, and effectively used across business units.

*Need experience implementing a data governance program. Key Accountabilities: Maintain and evolve the enterprise-wide data governance framework, ensuring policies, standards, and processes are current, consistent, and aligned with organizational strategy. Manage steward enterprise data definitions, metadata standards, and quality expectations.

Ensure consistent adoption of governance practices across all business units, domains, and data stewardship teams. Work closely with spoke-level governance leads to align on data definitions, resolve discrepancies, and drive enterprise-wide standardization. Provide definitive guidance on governance practices, serving as the central authority for interpreting policies, processes, and standards.

Support stakeholders in applying governance best practices to enable trusted, high-quality, wellmanaged data. Establish enterprise data quality metrics, thresholds, and monitoring expectations. Oversee issue management processes, ensuring timely resolution and root cause analysis.

Facilitate governance councils, working groups, and cross-functional forums to drive alignment and decision-making. Educate and enable stakeholders on governance roles, responsibilities, and processes. Partner with IT stakeholders to ensure governance tools (e.g., data catalog, metadata management, lineage) support enterprise standards and are used consistently across spokes

Maintain governance documentation repositories and ensure accessibility and version control. Ensure governance practices support regulatory, privacy, and compliance requirements. Identify governance risks and recommend mitigation strategies.

Education & Experience Requirements Bachelor's degree in information management, Data Science, Computer Science, Business, or a related field (Master's degree preferred but not required) 5-8 years of experience in data governance, data management, data quality, metadata management, or related disciplines Experience working within a hubandspoke governance model or other federated data management structures Hands-on experience with enterprise data governance tools (e.g., Azure Purview Collibra, Alation or Similar) Familiarity with data privacy and regulatory frameworks (e.g., GDPR, HIPAA, SOX) Strong understanding of data architecture concepts, including lineage, metadata, master data, and reference data Demonstrated ability to influence stakeholders at all levels without direct authority Experience facilitating governance councils, working groups, or crossfunctional decision-making forums *Beware of scams. S3 never asks for money during its onboarding process