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Data Integration Manager Jobs in Michigan (NOW HIRING)

HireITPeople

Data Warehouse Architect 3

Lansing, MI · On-site

... and maintaining high-quality data integration solutions using IBM DataStage and related ... manage file systems, monitor processes, and troubleshoot runtime issues. • Apply Master Data ...

Pwc

Data Engineer - Senior Associate

Detroit, MI

$77K - $202K/yr

... integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly ...

Pwc

Data Engineer - Senior Associate

Grand Rapids, MI

$77K - $202K/yr

... integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly ...

Droisys

Integration Architect data power

Auburn Hills, MI

$67 - $86.25/hr

Integration Arch + data power Location : Auburn Hills, MI or Detroit, MI Duration : 6+ months Need ... management of the ESB - Data Power environment Creates a solution to meet functional and non ...

BISSELL Homecare

PLM Analyst II

Grand Rapids, MI · On-site

... robust data management, leveraging your understanding of its Oracle database foundation ... Integration Support: Support the maintenance of integrations between PLM and other enterprise ...

Pwc

Data Engineer - Manager

Grand Rapids, MI

$99K - $232K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Manager, you will lead teams and manage client accounts, focusing on ...

Pwc

Data Engineer - Manager

Detroit, MI

$99K - $232K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Manager, you will lead teams and manage client accounts, focusing on ...

Droisys

Integration Arch + data power

Detroit, MI

Integration Arch + data power Location : Auburn Hills, MI or Detroit, MI Duration : 6+ months Need ... management of the ESB - Data Power environment Creates a solution to meet functional and non ...

Troutman Pepper

Senior Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Bachelors' degree in Computer Science, Management Information Systems, or related field. * Minimum of eight (8) years of relevant work experience with ETL, data integration and migration, and strong ...

Zenfreed LLC

Data Warehouse Architect

Lansing, MI · On-site

Use Python and XML to automate processes, perform data transformations, and integrate automation into ETL workflows. * Work extensively in Linux/Unix environments to write shell scripts, manage file ...

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All JobsData Integration JobsData Integration Manager JobsData Integration Manager Jobs in Michigan

Data Integration Manager information

See Michigan salary details

$9

$45

$73

How much do data integration manager jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data integration manager in Michigan is $45.05, according to ZipRecruiter salary data. Most workers in this role earn between $37.93 and $50.72 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 are the most commonly searched types of Data Integration jobs in Michigan? The most popular types of Data Integration jobs in Michigan are:
What are popular job titles related to Data Integration Manager jobs in Michigan? For Data Integration Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Integration Manager jobs in Michigan look for? The top searched job categories for Data Integration Manager jobs in Michigan are:
What cities in Michigan are hiring for Data Integration Manager jobs? Cities in Michigan with the most Data Integration Manager job openings:
Data Integration Manager jobs near you
Infographic showing various Data Integration Manager job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,697 per year, or $45 per hour.
Finance Operate - Manager, Integration & Data Lead

Finance Operate - Manager, Integration & Data Lead

Deloitte

Detroit, MI

Other

Posted 27 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services

Job description

Step into a role where you'll help shape the future of finance. As part of our Finance Transformation team, you'll collaborate with CFOs, finance leaders, and executive clients to solve their most complex challenges. Leveraging Deloitte's unmatched resources and deep industry insights, you'll deliver innovative, market-driven solutions that modernize finance functions, elevate performance, and drive meaningful organizational change. Join us to empower clients to become strategic business partners, manage risk, and unlock new levels of financial and operational excellence.

Recruiting for this role ends on 09/30/2026.

As a Manager and Integration & Data Lead within our Finance Transformation Tech Enablement team, you will own data architecture and integration strategy for the Finance Operate Platform. You will serve as the primary point of authority on data pipelines, integration design, compliance, and governance-translating platform requirements into scalable, secure, and audit-ready technical solutions. This role requires US-based proximity to support client contract and compliance decisions. 

Work You Will Do 

Data Architecture & Integration Strategy 

  • Own the end-to-end integration and data architecture across Finance Operate Platform layers, including source ingestion, ETL/ELT, transformation, quality controls, and consumption. 
  • Define and govern integration patterns (APIs, events, queues, batch) and data contracts between Offering delivery portal, accelerators, Consulting delivery platform, and client ERP/subledger systems. 
  • Lead platform decisions on data tooling (Databricks vs. Alteryx vs. other) based on use case, scale, governance requirements, and cost-to-value. 
  • Design and oversee the Consulting delivery platform Agentic Layer data readiness pipeline (Phase 1: ETL, data validation, triage, and remediation). 

Execution Leadership & Client Engagement 

  • Serve as primary data and integration liaison for client contract and compliance discussions requiring onshore proximity. 
  • Collaborate with offshore Data Engineers and Solution Architect to deliver against integration roadmap. 
  • Manage risks related to data quality, security, lineage, and have familiarity with regulatory compliance (including SOX relevance). 
  • Define non-functional requirements for integration solutions: performance, resiliency, security, and auditability. 

Standards & Governance 

  • Establish data governance frameworks, data quality standards, and integration guardrails for reuse across sub-offerings. 
  • Specify BI consumption patterns, metrics definitions, and data lineage documentation standards. 
  • Ensure all integration designs meet enterprise security, compliance, and privacy expectations. 

Team Development 

  • Mentor and guide Data Engineers and Integration Engineers across Offshore teams. 
  • Champion Agile delivery practices; lead sprint planning and technical review for integration workstreams. 

The team

Our Finance Operate offering provides ongoing operation of the Finance function as an extension of Deloitte's Finance Transformation Advise and Implement offering portfolio. The team works across finance strategy, process, operations, and technology to help organizations enable scalable finance outcomes. Professionals in this practice support delivery in complex environments while helping clients advance modernization across Finance Operate capabilities.

Qualifications

Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 
  • 7+ years of experience in data architecture, integration design, or data engineering in an enterprise environment. 
  • Demonstrated hands-on experience designing end-to-end data pipelines and integration architectures. 
  • Strong grasp of API design, microservices, event-driven patterns, and enterprise integration concepts. 
  • Experience with cloud-based data platforms (Azure, AWS, or GCP) and associated data services. 
  • Familiarity with compliance and governance frameworks relevant to finance operations (e.g., SOX controls, data privacy). 
  • Excellent communication and stakeholder management skills; ability to translate technical architecture into business-oriented recommendations. 
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Hands-on experience with Databricks (pipeline design, Delta Lake, operationalization) and/or Alteryx. 
  • Knowledge of ServiceNow integration capabilities and workflow data flows. 
  • Experience in a managed services or Finance Operate context. 
  • Finance domain knowledge across Record-to-Report, Treasury, or FP&A processes. 
  • Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent). 

 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000-$252,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Step into a role where you'll help shape the future of finance. As part of our Finance Transformation team, you'll collaborate with CFOs, finance leaders, and executive clients to solve their most complex challenges. Leveraging Deloitte's unmatched resources and deep industry insights, you'll deliver innovative, market-driven solutions that modernize finance functions, elevate performance, and drive meaningful organizational change. Join us to empower clients to become strategic business partners, manage risk, and unlock new levels of financial and operational excellence.

Recruiting for this role ends on 09/30/2026.

As a Manager and Integration & Data Lead within our Finance Transformation Tech Enablement team, you will own data architecture and integration strategy for the Finance Operate Platform. You will serve as the primary point of authority on data pipelines, integration design, compliance, and governance-translating platform requirements into scalable, secure, and audit-ready technical solutions. This role requires US-based proximity to support client contract and compliance decisions. 

Work You Will Do 

Data Architecture & Integration Strategy 

  • Own the end-to-end integration and data architecture across Finance Operate Platform layers, including source ingestion, ETL/ELT, transformation, quality controls, and consumption. 
  • Define and govern integration patterns (APIs, events, queues, batch) and data contracts between Offering delivery portal, accelerators, Consulting delivery platform, and client ERP/subledger systems. 
  • Lead platform decisions on data tooling (Databricks vs. Alteryx vs. other) based on use case, scale, governance requirements, and cost-to-value. 
  • Design and oversee the Consulting delivery platform Agentic Layer data readiness pipeline (Phase 1: ETL, data validation, triage, and remediation). 

Execution Leadership & Client Engagement 

  • Serve as primary data and integration liaison for client contract and compliance discussions requiring onshore proximity. 
  • Collaborate with offshore Data Engineers and Solution Architect to deliver against integration roadmap. 
  • Manage risks related to data quality, security, lineage, and have familiarity with regulatory compliance (including SOX relevance). 
  • Define non-functional requirements for integration solutions: performance, resiliency, security, and auditability. 

Standards & Governance 

  • Establish data governance frameworks, data quality standards, and integration guardrails for reuse across sub-offerings. 
  • Specify BI consumption patterns, metrics definitions, and data lineage documentation standards. 
  • Ensure all integration designs meet enterprise security, compliance, and privacy expectations. 

Team Development 

  • Mentor and guide Data Engineers and Integration Engineers across Offshore teams. 
  • Champion Agile delivery practices; lead sprint planning and technical review for integration workstreams. 

The team

Our Finance Operate offering provides ongoing operation of the Finance function as an extension of Deloitte's Finance Transformation Advise and Implement offering portfolio. The team works across finance strategy, process, operations, and technology to help organizations enable scalable finance outcomes. Professionals in this practice support delivery in complex environments while helping clients advance modernization across Finance Operate capabilities.

Qualifications

Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 
  • 7+ years of experience in data architecture, integration design, or data engineering in an enterprise environment. 
  • Demonstrated hands-on experience designing end-to-end data pipelines and integration architectures. 
  • Strong grasp of API design, microservices, event-driven patterns, and enterprise integration concepts. 
  • Experience with cloud-based data platforms (Azure, AWS, or GCP) and associated data services. 
  • Familiarity with compliance and governance frameworks relevant to finance operations (e.g., SOX controls, data privacy). 
  • Excellent communication and stakeholder management skills; ability to translate technical architecture into business-oriented recommendations. 
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Hands-on experience with Databricks (pipeline design, Delta Lake, operationalization) and/or Alteryx. 
  • Knowledge of ServiceNow integration capabilities and workflow data flows. 
  • Experience in a managed services or Finance Operate context. 
  • Finance domain knowledge across Record-to-Report, Treasury, or FP&A processes. 
  • Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent). 

 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000-$252,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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