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Data Operations Jobs in Michigan (NOW HIRING)

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Data Operations information

See Michigan salary details

$45.3K

$112K

$174.3K

How much do data operations jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data operations in Michigan is $112,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $142,500.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

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

In the US, high-paying roles such as senior executives, investment bankers, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes significant risk or ownership stakes.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and data quality standards to support analytics and decision-making processes.

Is 30 too late for data science?

Data operations roles often value relevant skills and experience over age, and many professionals transition into data science at various stages of their careers. While some roles may prefer candidates with recent technical training or certifications, age is generally not a barrier if you develop strong analytical, programming, and data management skills. Continuous learning and practical experience can help you succeed regardless of age.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

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

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

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

In data operations, senior roles such as Data Operations Managers, Data Architects, and Data Engineering Directors can earn $200,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, or cloud platforms, and leadership responsibilities. These positions often require a strong understanding of data management, analytics, and sometimes certifications like CDMP or AWS certifications.
What are the most commonly searched types of Data Operations jobs in Michigan? The most popular types of Data Operations jobs in Michigan are:
What are popular job titles related to Data Operations jobs in Michigan? For Data Operations jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Michigan look for? The top searched job categories for Data Operations jobs in Michigan are:
Data Operations jobs near you
Infographic showing various Data Operations job openings in Michigan as of June 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,022 per year, or $53.9 per hour.
Data Operations Lead/ Data Architect

Data Operations Lead/ Data Architect

Cyma Systems Inc

Detroit, MI • On-site

Other

Posted 17 days ago

Job description

Job Title: Lead- Data Operations/ Data Architect  

Location : Detroit MI – Onsite

Long Term

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 Domain Experience

•            15+ years of IT experience, including 4+ years in architecting and delivering cloud-native data solutions.

•            Minimum 4+ 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 (added advantage)

•                 Other BI tools such as Tableau / Power BI

•                 Ability to translate business requirements into actionable dashboards and analytics solutions.

Advanced & Emerging Capabilities (Good to have)

•            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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