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

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$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 · On-site

$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 ...

University of Michigan

Data and AI Engineer

Ann Arbor, MI · On-site

$112K - $134K/yr

You'll sit at the intersection of data engineering and applied AI ? building robust, production-grade data pipelines, managing OpenShift/Kubernetes-based infrastructure, and integrating AI tools with ...

Droisys

Integration Arch + data power

Detroit, MI · On-site

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 ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

Managing and appropriately escalating delivery impediments, risks, issues, and changes tied to the product development initiatives. * Data Integration - Design and develop new source system ...

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

Experience with ETL/ELT tools such as Apache Airflow, DataFlow/DataProc, or Qlik Data Integration ... The company specializes in Business and Management Consulting, AI/ML, Data Analytics ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

Managing and appropriately escalating delivery impediments, risks, issues, and changes tied to the product development initiatives. * Data Integration - Design and develop new source system ...

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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 Aug 17, 2026, the average hourly pay for data integration manager in Detroit, MI is $51.07, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $57.50 per hour, depending on experience, location, and employer.

What are some common challenges a data integration manager faces 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 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 is a data integration manager?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality and consistency. They often work with tools like ETL (Extract, Transform, Load) processes and require strong project management and technical skills. Their role involves coordinating teams, managing data workflows, and implementing integration solutions to support business analytics and decision-making.

What are popular job titles related to Data Integration Manager jobs in Detroit, MI?

For Data Integration Manager jobs in Detroit, MI, the most frequently searched job titles are:

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:

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Data Integration Manager jobs near you

Data Scientist - Conversational AI

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 27 days ago

Job description


The Opportunity We are the movers of the world and the makers of the future. The Integrated Services team at Ford is developing connected, digital platforms that will revolutionize how vehicles function.
You will join the Digital Cabin organization as the dedicated Data Scientist for our next-generation AI Digital Assistant. This AI-driven feature is currently active on mobile platforms and is rapidly expanding into our In-Vehicle Infotainment (IVI) systems to execute tasks, provide vehicle reports, and enhance the driving experience.
This role offers a unique opportunity to shape the data strategy for a high-priority AI product from the ground up. We are looking for a strategic, "full-stack" Data Scientist who leans heavily into Product Analytics. You must be willing to roll up your sleeves to structure raw data and build executive dashboards, while also deploying applied machine learning techniques to categorize user utterances, evaluate AI performance, and drive behavioral insights.
Responsibilities
What you'll do...
  • NLP & Utterance Analysis: Leverage Natural Language Processing (NLP) and machine learning to categorize and cluster raw user utterances. Perform sentiment analysis on unstructured text logs to extract actionable product insights.
  • AI Response Evaluation & Experimentation: Design methodologies to evaluate the helpfulness, accuracy, and relevance of the AI's responses. Design and analyze A/B tests to measure the impact of prompt adjustments, model updates, and new feature rollouts.
  • Data Integration & Sanitization: Dive directly into Google Cloud Platform (GCP) to cleanly join and structure mobile, customer support, and vehicle data into robust "Analytical Sandboxes," ensuring strict adherence to data privacy and PII handling standards.
  • Problem Framing & Metric Definition: Act as a strategic partner to Product Managers. Challenge assumptions and define core conversational metrics (e.g., task success rates, user engagement, support deflection).
  • Advanced Visualization & Self-Service: Design, build, and maintain highly intuitive, narrative-driven dashboards using Looker and PowerBI to empower the product team to answer their own day-to-day questions.
  • Bridge the Mobile-to-IVI Gap: Act as the analytical bridge as our digital assistant expands from the Ford app into the vehicle, standardizing mobile data against our emerging in-vehicle data contracts.

Qualifications
You'll have...
  • Education: A Master's Degree in a quantitative, technical, or related field (e.g., Data Science, Computer Science, Statistics).
  • Experience: 7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning.
  • "Full-Stack" Capability: Demonstrated ability to act as a bridge between Data Science, Engineering, and Product-taking raw telemetry, applying statistical/ML models, and transforming it into business insights without relying on a central data team for every step.

Primary Technical Skills
  • Applied ML & LLM Analytics: Proficiency in Python or R with hands-on experience in text analytics, clustering, and categorization. Familiarity with LLM evaluation techniques (e.g., prompt effectiveness, hallucination tracking, human-in-the-loop feedback).
  • Expert-Level SQL & GCP: Highly proficient in writing complex, optimized SQL (Window Functions, CTEs, handling JSON/Nested Data) within Google Cloud Platform (BigQuery) to structure datasets independently.
  • Advanced Visualization: Deep expertise in building scalable business intelligence solutions, semantic layers, and executive-facing dashboards in Looker and PowerBI.
  • Experimentation: Strong grasp of statistics and experience designing and measuring A/B tests in a product environment.
  • Analytics as Code: Experience with version control (e.g., Git, GitHub) and working in environments where analytics changes go through a formal peer-review process.
  • Strategic Problem Solving: Comfortable navigating complex, multi-source data environments. You view data integration as a puzzle to be solved and a strategic enabler for the business.

Even better, you may have...
  • Behavioral Analytics: Experience using platforms like Amplitude to analyze user funnels, retention curves, and cohort behavior.
  • Data Modeling: Experience with dbt (Data Build Tool) or similar frameworks for transforming data in the warehouse.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
This position ranges from a salary grade of 6-8 from.
For more information on salary and benefits, click here: https://fordcareers.co/GSR.
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
This position is hybrid (onsite four days per week).
#LI-Hybrid
#LI-CL2
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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