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Data Integration Manager Jobs in Detroit, MI (NOW HIRING)

Data Architect

Auburn Hills, MI

$60.25 - $77.50/hr

Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. General Must be self-motivated and able to work independently while ...

Data Architect

Auburn Hills, MI · On-site +1

$60.25 - $77.50/hr

Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. General Must be self-motivated and able to work independently while ...

Data Architect

Auburn Hills, MI · On-site

$60.25 - $77.50/hr

Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. General Must be self-motivated and able to work independently while ...

Data Architect

Troy, MI · On-site

$59.75 - $76.75/hr

Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. General Must be self-motivated and able to work independently while ...

Data Architect

Auburn Hills, MI · On-site

$60.25 - $77.50/hr

Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. General Must be self-motivated and able to work independently while ...

SENIOR MANAGER, ENTERPRISE INTEGRATION Versigent designs and delivers the systems that move power ... data protection regulations (e.g., GDPR, CCPA) Architecture & Solution Design Architecture ...

The Integration Lead is responsible for leading the end-to-end integration of legacy (non-SAP ... Manage cross-team dependencies (design decisions, shared services, master data impacts, environment ...

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Data Integration Manager information

See Detroit, MI salary details

$10

$51

$83

How much do data integration manager jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for data integration manager in Detroit, MI is $51.16, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $57.60 per hour, depending on experience, location, and employer.

Is data integration a good career?

Data Integration Managers oversee the process of combining data from different sources to ensure consistency and accessibility, often using tools like ETL software and SQL. The role is in demand across industries such as finance, healthcare, and technology, offering opportunities for advancement and specialization. Strong technical skills, problem-solving ability, and knowledge of data governance are essential for success in this field.

What does an integration manager do?

An integration manager oversees the process of combining different software systems and data sources to ensure they work together effectively. They coordinate technical teams, develop integration strategies, and use tools like APIs and middleware to facilitate seamless data flow and system interoperability.

What is the difference between Data Integration Manager vs Data Analyst?

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What are some common challenges Data Integration Managers face when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

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

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.

What does a data integration manager do?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality, consistency, and accessibility. They design and implement data workflows, often using tools like ETL (Extract, Transform, Load) processes, and coordinate with IT and data teams to support business analytics and decision-making.

Is AI replacing data entry jobs?

AI is automating many data entry tasks, which can reduce the need for manual input and increase efficiency. Data Integration Managers often oversee the implementation of such technologies, requiring skills in data management tools and understanding of automation processes. While some routine jobs may decline, new roles focusing on managing and optimizing AI systems are emerging in the field.
What job categories do people searching Data Integration Manager jobs in Detroit, MI look for? The top searched job categories for Data Integration Manager jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Integration Manager jobs? Cities near Detroit, MI with the most Data Integration Manager job openings:
Data Architect

$60.25 - $77.50/hr

Contractor

Posted 4 days ago


Job description

Position Description

The Senior Enterprise Data Architect will be responsible for designing and implementing solutions within Business Intelligence and Data Management software and hardware to meet business requests. The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required.

General

Must be self-motivated and able to work independently while consistently meeting deadlines.

Strong business and technical verbal and written communication skills.

Experience creating metrics and dashboard analytics.

Strong working knowledge of different analysis tools and techniques.

Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects.

Strong SQL skills.

Functions Performed

This individual may be asked to solely perform these functions or may choose to delegate some of these functions to other members of their team, per agreement with the Senior Manager for Enterprise Data Architecture. Ultimately, responsibility for ensuring that the functions are performed rests with this position.

General Functions/Responsibilities

Architect and design business intelligence solutions for accessing and analyzing data and metadata.

Experience with Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) architectures.

Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques.

Experience architecting and developing database solutions using both OLAP and OLTP technologies.

Extensive experience in architecture, data modeling, design, development, data migration, and data integration throughout the Software Development Life Cycle (SDLC).

Participate in and/or lead design sessions, demonstrations, prototype sessions, testing, and training workshops with business users and IT associates.

Develop and maintain technical documentation.

Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management.

Employment Type: CONTRACTOR