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Manager Data Operations Lead Jobs in Michigan (NOW HIRING)

Drevol LLC

Data Operations Lead

Detroit, MI · On-site

Data Operations Lead Duration: Long Term (6 months contract to hire) Location: Detroit, MI (Onsite ... Underwriting * Claims Management * Billing & Payments * Experience working with insurance data ...

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Megan soft Inc

Site IT Operations Lead

Dearborn, MI · On-site

Role: Site IT Operations Lead (W2 Position) Location: Dearborn, MI - Hybrid (4 days in office ... Management, Data Analysis, Employee Engagement, Microsoft Office, Network Engineering, Change ...

Ford Motor Company

Product Operations Lead

Dearborn, MI · On-site

$74K - $166K/yr

The Digital Cabin Product team is looking for a self-starting Product Operations Lead to drive ... Manage Tools & Data : Own the Jira environment and roadmap management, curating dashboards to track ...

Stellantis

Import Operations Lead

Auburn Hills, MI · On-site

$143K/yr

The US Customs Northern & Southern Border Operations Lead and FAST coordinator is responsible to manage all Customs activities related to the importation and exportation of vehicles, parts and non ...

Rocket

Manager, Data Science

Detroit, MI · On-site

As the Manager of Data Science, you will lead a team of data scientists to solve business problems, shape the Data Science organization's direction, and collaborate with leaders across the company.

At Home Stores

Operations Lead - FT

Wixom, MI

The Operations Lead (OL) reports to the Operations Manager and supports store processes and an active selling culture by ensuring that all aspects are maintained to documented company standards ...

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Manager Data Operations Lead information

What does a Manager Data Operations Lead do?

A Manager Data Operations Lead oversees the daily operations related to data management within an organization. This role is responsible for ensuring data integrity, optimizing data workflows, and leading a team of data professionals. Key responsibilities include implementing data governance policies, coordinating with IT and business units, and ensuring compliance with data security standards. The role requires strong leadership, technical expertise, and excellent problem-solving skills.

How does a Manager Data Operations Lead collaborate with cross-functional teams to ensure data quality and consistency?

A Manager Data Operations Lead frequently works with teams such as engineering, analytics, and business stakeholders to align data processes and standards. They facilitate communication between departments to clarify data requirements, resolve discrepancies, and implement best practices for data governance. Regular meetings and progress check-ins are typical, helping to quickly address issues and maintain high data quality across all business units. Effective collaboration ensures that data remains a reliable resource for decision-making and strategic initiatives.

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

To thrive as a Manager Data Operations Lead, you need a solid background in data management, analytics, and process optimization, typically with a degree in computer science, information systems, or a related field. Experience with data warehousing tools, ETL systems, SQL, and platforms like Snowflake or AWS, along with certifications such as PMP or Six Sigma, is highly valuable. Strong leadership, communication, and problem-solving skills enable you to coordinate teams, manage stakeholders, and drive continuous improvement. These skills are crucial for ensuring data quality, operational efficiency, and the strategic alignment of data initiatives within an organization.

How much is the salary of an operations manager?

The salary of a Manager Data Operations Lead typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior or specialized roles may offer higher compensation, and additional benefits often include bonuses and performance incentives.

What does a data operations lead do?

A data operations lead manages the processes and systems that handle an organization's data, ensuring data quality, consistency, and security. They oversee data workflows, coordinate with data teams, and often utilize tools like SQL, data pipelines, and data governance frameworks to support business decision-making.

What is the difference between Manager Data Operations Lead vs Data Analyst?

AspectManager Data Operations LeadData Analyst
Required CredentialsBachelor's degree in Data Science, Business, or related field; experience in data managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data teams, manages data operations, collaborates with multiple departmentsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for managing data teamsCommon across industries for data insights and reporting
Search & Comparison IntentOften compared for leadership roles in data managementCompared for technical data analysis skills

The Manager Data Operations Lead focuses on overseeing data management teams and ensuring data quality across organizations, while Data Analysts primarily analyze data sets to generate insights. Both roles require strong data skills, but the manager role emphasizes leadership and operational oversight.

Is ops manager higher than GM?

A Manager of Data Operations Lead is a specialized managerial role focused on overseeing data processes and teams. Generally, a General Manager (GM) holds a broader executive position with overall responsibility for a business unit or organization, making the GM typically higher in organizational hierarchy than an operations manager. The specific hierarchy can vary by company structure and industry.

What does a data management lead do?

A data management lead oversees the organization, accuracy, and security of data within an organization. They develop data policies, ensure data quality, and coordinate data-related projects, often using tools like data warehouses and governance frameworks. Strong analytical skills and knowledge of data management tools are essential for this role.
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Manager Data Operations Lead jobs near you
Infographic showing various Manager Data Operations Lead job openings in Michigan as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Operations Lead

Data Operations Lead

Drevol LLC

Detroit, MI • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title: Data Operations Lead

Duration: Long Term (6 months contract to hire)

Location: Detroit, MI (Onsite 5 days a week)

Key Responsibilities

  • Partner with customers to position data as a strategic business asset, enabling them to differentiate through modern data platforms, BI, and advanced analytics solutions.
  • Engage with business stakeholders, IT leadership, and enterprise architects to design and implement scalable, cloud-native data architectures, with a strong focus on AWS-based solutions.
  • Define and drive enterprise data strategies and technology roadmaps, including architecture design, data modeling, and stepwise execution of modern data platforms supporting diverse analytics use cases.
  • Lead Data & Analytics maturity assessments and strategy workshops, ensuring alignment with business goals around performance, scalability, flexibility, and cost optimization.
  • Provide thought leadership on modern data and analytics technologies, enabling innovation in BI, advanced analytics, and predictive modeling.
  • Design, prototype, and deliver end-to-end cloud data solutions, enabling new digital capabilities, especially in the Property & Casualty (P&C) Insurance domain.
  • Act as a trusted technology advisor, driving adoption of modern data solutions to help organizations become data-driven enterprises.
  • Evaluate customer cloud readiness and AWS adoption maturity; design and deliver structured capability-building and enablement programs.
  • Collaborate with cross-functional teams including Data Engineering, Data Governance, BI/Analytics, and Business teams in complex enterprise environments.

Desired Skills & Experience

Core Experience

  • 15+ years of IT experience, including 4+ years in architecting and delivering cloud-native data solutions.
  • Minimum 5+ years of hands-on experience in the Commercial P&C Insurance domain (mandatory).
  • Strong expertise in implementing end-to-end Modern Data Platforms on AWS, using advanced processing frameworks such as Databricks.

Technical Skills

Data Platforms & Cloud

  • Deep understanding of cloud-native data architectures, data engineering pipelines, and data management frameworks.
  • Hands-on experience with AWS services (e.g., S3, Redshift, Glue, Lambda, EMR, Athena).
  • Expertise in data warehouse design, dimensional modelling, and columnar database architectures.
  • Experience with Snowflake and other modern data warehousing platforms.

Database & Programming (Mandatory)

  • Strong hands-on expertise in Oracle PL/SQL (must-have) including performance tuning, complex query optimization, and stored procedure development.
  • Experience working with relational and distributed databases across enterprise environments.


ETL / ELT & Data Integration

  • Strong knowledge of ETL/ELT concepts and tools, including:
    • Oracle Data Integrator (ODI) – preferred
    • Experience with modern ETL frameworks and pipelines
  • Exposure to streaming and real-time data processing, including technologies like Kafka (Confluent).


BI & Reporting

  • Hands-on experience with BI and reporting tools, with preference for:
    • WebFOCUS (Mandatory)
    • Other BI tools such as Tableau / Power BI
  • Ability to translate business requirements into actionable dashboards and analytics solutions.

Advanced & Emerging Capabilities

  • Exposure to NoSQL databases (key-value stores, document databases) and understanding of performance trade-offs.
  • Experience in building data products, Data Mesh architecture, and decentralized data ownership models.
  • Knowledge of machine learning and analytics solutions, including deployment using AWS SageMaker (preferred).

Insurance Domain Skills (Mandatory)

  • Strong understanding of P&C Insurance business processes, including:
    • Policy Administration
    • Underwriting
    • Claims Management
    • Billing & Payments
  • Experience working with insurance data models, regulatory reporting, and actuarial/analytics use cases.
  • Ability to align data solutions with insurance-specific KPIs, risk modeling, and compliance requirements.

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