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Data Manager Jobs in Warren, MI (NOW HIRING)

Deloitte

Senior Manager Data Lead

Detroit, MI · On-site

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Deloitte's Healthcare Consulting practice is one of the largest ...

Socket.dev

eCommerce Product Database Manager

Livonia, MI · On-site

$60 - $80/hr

Maintain product data including pricing, UPCs, SKUs, weights, dimensions, descriptions, images, and specifications. * Process supplier price changes and promotional pricing. * Perform gap analysis ...

JB Tools

eCommerce Product Database Manager

Livonia, MI · On-site

$60 - $80/hr

Maintain product data including pricing, UPCs, SKUs, weights, dimensions, descriptions, images, and specifications. * Process supplier price changes and promotional pricing. * Perform gap analysis ...

JB Tools

eCommerce Product Database Manager

Livonia, MI · On-site

$70K - $90K/yr

This role is responsible for keeping product data, pricing, and online listings accurate and ... · Manage discontinued products and remove/deactivate them from our systems and websites. · ...

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All JobsData JobsData Manager JobsData Manager Jobs in Warren, MI

Data Manager information

See Warren, MI salary details

$29.1K

$91.2K

$161.5K

How much do data manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data manager in Warren, MI is $91,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $117,900.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What are the key skills and qualifications needed to thrive as a data manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

What are the most commonly searched types of Data jobs in Warren, MI?

The most popular types of Data jobs in Warren, MI are:

What job categories do people searching Data Manager jobs in Warren, MI look for?

The top searched job categories for Data Manager jobs in Warren, MI are:

What cities near Warren, MI are hiring for Data Manager jobs?

Cities near Warren, MI with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in Warren, MI as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Contract, and 2% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $91,242 per year, or $43.9 per hour.

Product Data Specialist

Madison Heights, MI • On-site

MCNAUGHTON-MCKAY ELECTRIC CO
Wholesale • 501 - 1,000 employees
Learn more about MCNAUGHTON-MCKAY ELECTRIC COexternal

Full-time

Posted 4 days ago

Job description

Product Data Specialist

About McNaughton McKay Group:

McNaughton McKay Group (MMG) is a 100% employee-owned distributor of electrical and PVF (pipes, valves, and fittings) solutions, serving the industrial, commercial and construction markets. Our portfolio of trusted brands operates from more than 60 branches across nine states and Germany. At MMG, we do more than deliver products. We build lasting partnerships—backed by deep inventory and local expertise—to keep your projects moving and businesses growing. Our empowered team provides the support, insight and scalable solutions needed to navigate today’s demands and solve our customers’ most complex challenges.

Role Purpose:

This position supports the architecture and day-to-day orchestration of the company’s Product Information Management (PIM) platform (Stibo STEP) and related data pipelines. The role serves as an operational partner to the Product Data Manager, helping monitor automated workflows and suggesting and implementing improvements to optimize them for efficiency, maintaining documentation and version control, triaging incoming data quality issues, and supporting the rollout of new platform initiatives. The position requires familiarity with data workflows, automation tooling (particularly Alteryx), and the operational systems the PIM platform connects to, including the ERP and ecommerce channel.

As a Product Data Specialist, you will:

  • Monitor automated PIM and Alteryx workflow outputs; identify and escalate anomalies, failures, or data quality exceptions requiring expert resolution.
  • Maintain documentation and version control for the Alteryx and Stibo STEP automation library, including workflow change logs, process guides, and runbooks.
  • Support rollout of new platform initiatives, including testing, validation, and coordination with the external integrator under direction of the Product Data Manager.
  • Perform first-level triage on service desk tickets related to PIM data, ecommerce product content, and ERP product attributes; resolve or escalate appropriately.
  • Execute defined data quality improvement tasks: reviewing enrichment output, identifying classification gaps, and flagging records for remediation.
  • Assist with taxonomy maintenance, attribute schema updates, and category-level data standards as directed.
  • Contribute to the enrichment and publishing pipeline for standard catalog products, supporting match rate improvements against IDEA and Affiliated Distributors aggregator feeds.
  • Support onboarding of new product data into the PIM platform, including data mapping, validation, and workflow testing.
  • Collaborate with the Product Data Manager and cross-functional stakeholders to document data standards and support process improvement efforts.
  • Perform application testing during Stibo STEP upgrades and ongoing development initiatives.

Desired Knowledge/Skills/Abilities Include:

  • Bachelor’s degree in a related field plus 3–5 years of professional experience in data operations, data analytics, or a related discipline. Equivalent experience considered in lieu of degree.
  • Proficiency in Alteryx Designer for building, running, and maintaining data workflows. Hands-on experience with workflow scheduling, data blending, and output validation.
  • Experience in a PIM or MDM platform in a professional setting — managing product data, taxonomy, enrichment workflows, or data governance. Experience with Stibo STEP specifically is a strong plus.
  • Solid understanding of relational database concepts and SQL — comfortable reading, writing, and troubleshooting queries involving joins, filtering, aggregation, and subqueries. Ability to use SQL to investigate data issues and validate pipeline outputs independently.
  • Understanding of programming and scripting concepts, particularly Java and JavaScript, is a plus. Familiarity with these languages supports platform configuration, workflow scripting, and integration troubleshooting within enterprise data environments like Stibo STEP.
  • Understanding of how master data (product, customer, supplier) relates to sales, purchasing, ecommerce, and operational reporting.
  • Demonstrated interest in adopting new technologies and AI-powered tools to improve how work gets done — whether independently or collaboratively. Candidates who actively use or are curious about emerging tools for data work, problem-solving, and workflow automation are strongly preferred.
  • Proficiency in Microsoft Excel or equivalent tools for data review and validation; familiarity with AI-assisted alternatives is a plus.
  • Strong attention to detail; ability to identify data anomalies and inconsistencies within large datasets.
  • Strong organizational skills with a consistent habit of maintaining clean, up-to-date documentation — process guides, workflow logs, change records, and runbooks.
  • Ability to work independently on defined tasks, manage competing priorities, and communicate proactively when blockers arise.
  • Experience with XML and FTP file transfers preferred. Working knowledge of Linux operating systems a plus, particularly in relation to server-side data operations and digital asset workflows.

Reporting Structure:

Reports To: Product Data Manager

Direct Reports: None

Working Conditions:

Normal office environment; occasional after-hours work may be required during platform updates or initiative rollouts.

EEO/AA/M/F/Vet/Disability Employer:

The above statements are intended to describe the essential functions and related requirements of persons assigned to this job.  They are not intended as an exhaustive list of all job duties, responsibilities and requirements.

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