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Technical Data Manager Jobs in Warren, MI (NOW HIRING)

asrcfh

Mechanical Project Manager

Sterling Heights, MI · On-site

$84K - $114K/yr

Organize, manage, maintain, distribute and archive technical data associated with ongoing projects. * Utilize enterprise systems including SharePoint, Outlook, Windchill, ERP systems, and engineering ...

asrcfh

Mechanical Project Manager

Sterling Heights, MI · On-site

$84K - $114K/yr

Organize, manage, maintain, distribute and archive technical data associated with ongoing projects. * Utilize enterprise systems including SharePoint, Outlook, Windchill, ERP systems, and engineering ...

SupportFinity™

Data Analyst

Southfield, MI · On-site

$70 - $90/hr

This is a Technical Data Analyst role. The candidate would be expected to help develop analytic ... Experience supporting a Training, Learning, Development or Talent Management team * Knowledge ...

Delan Associates, Inc

Data Architect

Auburn Hills, MI · On-site +1

$60.25 - $77.50/hr

Develop and maintain technical documentation. Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management. Employment Type: CONTRACTOR

Ford Motor Company

Connected Data Engineer

Dearborn, MI · Hybrid

$105K - $126K/yr

Bachelor's Degree in Engineering 3+ years of experience in automotive engineering, quality management, or data analytics. 3+ years of strong technical understanding of In-Vehicle Infotainment (IVI ...

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Technical Data Manager information

See Warren, MI salary details

$47.9K

$143K

$181.7K

How much do technical data manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for technical data manager in Warren, MI is $143,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a technical data manager?

A Technical Data Manager is responsible for overseeing the collection, storage, management, and analysis of data within an organization, ensuring data integrity and security. They develop data management strategies, implement data governance policies, and coordinate with IT and business teams to support data-driven decision-making. Technical Data Managers also supervise data teams, maintain data quality, and ensure compliance with relevant regulations. Their role is critical in organizations that rely on accurate and accessible data for operational and strategic purposes.

What are the key skills and qualifications needed to thrive as a technical data manager?

To thrive as a Technical Data Manager, you need expertise in data management, database administration, and data governance, typically supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, ETL platforms, data warehousing solutions, and certifications like CDMP or cloud data certifications are commonly required. Strong leadership, problem-solving, and communication skills set top candidates apart in managing teams and collaborating across departments. These skills ensure effective data integrity, security, and accessibility, which are vital for supporting business intelligence and strategic decision-making.

What are some common challenges faced by technical data managers, and how can applicants prepare for them?

Technical Data Managers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and balancing the needs of various stakeholders. Applicants can prepare by developing strong project management skills, staying current with data governance best practices, and gaining experience with modern data platforms. Effective collaboration with IT, analytics, and business teams is essential, so strong communication skills are also crucial for success in this role.

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

AspectTechnical Data ManagerData Analyst
Required CredentialsBachelor's degree in IT, Data Management, or related field; certifications like DAMA or CDMPBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in industries with large data assets like finance, healthcare, manufacturingCommon across industries for data interpretation and reporting

The Technical Data Manager focuses on overseeing data quality, governance, and infrastructure, ensuring data is accurate and accessible. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. While both roles work with data, their responsibilities and skill sets differ significantly.

How much does a technical data manager get paid?

The average salary for a technical data manager typically ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals in this role often require strong data management skills and familiarity with tools like SQL and data warehousing systems.

What are popular job titles related to Technical Data Manager jobs in Warren, MI?

For Technical Data Manager jobs in Warren, MI, the most frequently searched job titles are:

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

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

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

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

Technical Data Manager jobs near you
Infographic showing various Technical Data Manager job openings in Warren, MI as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $143,034 per year, or $68.8 per hour.

Senior Manager - Data Digitalization Architecture

Lear Corporation

Southfield, MI • On-site

$47.75 - $64.75/hr

Full-time

Posted 19 days ago

Lear Corporation rating

7.3

Company rating: 7.3 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

104th of 161 rated electronics manufacturers

Job description

Lear For You
We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because we want to be more for you.
A path to a better career. A better future.
Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we're named one of the World's Most Admired Companies.
They're the secret to our success-empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.
Are you ready for a better career? A better future?
Job Description
Lead the translation of Lear's source-system data into governed, reusable Foundry / Palantir ontology objects, properties, links, actions, and data products. Partner with business process owners, ERP/source-system owners, Foundry FDEs, Ontologists, IT/Data Engineering, Data Governance, Security/RBAC, and project teams to ensure that data from QAD, SAP, Plex, AS400/BPICS, PLM/SEM, SRM, MES, finance, quality, and supplier-facing inputs is consistently mapped to global reusable business objects and properties. The Senior Manager of Data & Digitalization (Data Architecture) is a cross-functional business-data translation role responsible for creating build-ready source-to-ontology mapping specifications and ensuring that Lear's Foundry builds use global, reusable domain models rather than siloed project-specific data definitions. This role will work across Procurement, Supply Chain, Engineering, Quality, Finance, Manufacturing, IT, and Data Governance to interpret business process requirements, source-system field meaning, data grain, refresh cadence, lineage, data quality rules, security classification, and source-of-record precedence.
Responsibilities
  • Partner with BPOs and business SMEs to understand business processes, use cases, workflows, decision points, KPIs, and approval rules.
  • Partner with ERP/source-system owners to document source tables, fields, structures, extracts, APIs, files, field behavior, known defects, and update cadence.
  • Create and maintain source-to-ontology mapping specifications from source fields to Foundry global objects, properties, links, actions, and data products.
  • Determine whether a data element should reuse an existing global object/property, create a new governed global property, become a derived property, or remain a local workflow-specific field.
  • Document source-of-record, survivorship, and precedence rules when multiple sources provide different values for the same business property.
  • Define data grain, refresh cadence, event triggers, transformation rules, lineage/provenance, data quality expectations, and UAT validation criteria.
  • Work with the Ontology Owner/Ontologist to prevent duplicate object types and avoid source-table-driven object models or one to one uncurated source-column mappings.
  • Define field/property-level security classifications including supplier-visible, internal-only, protected commercial, finance/legal restricted, and role-based access requirements.
  • Support action/writeback design by identifying when supplier responses, buyer updates, exception closures, tooling classifications, or approvals require governed Foundry Actions rather than direct edits.
  • Maintain a reusable enterprise mapping library by domain, including Supplier, Supplier Site, Plant/Site, Item/Part, BOM, Demand, Capacity, Tooling, PO, Receipt, Invoice, Contract, RFQ, Quality, Risk, and Workflow/Exception.
  • Support MVP, POC, PCO, sprint, UAT, and go-live reviews by confirming that data meaning, mapping, reuse, security, and lineage are ready for production use.

Your Qualifications
  • Strong business process knowledge in procurement, supply chain, sourcing, capacity planning, supplier management, BOM/product structure, launch readiness, manufacturing operations, quality, finance/commercial, or adjacent enterprise processes.
  • Experience interpreting ERP/source-system data structures and field meaning. Preferred exposure includes QAD, SAP, Plex, AS400/BPICS, PLM/SEM, SRM, MES, supplier portals, finance, quality, or procurement platforms.
  • Ability to translate between business SMEs, technical data teams, ontology/modeling teams, IT, ERP owners, and executive stakeholders.
  • Understanding of data domains, objects, properties, relationships, data grain, lineage, metadata, data quality, source-of-record decisions, and master/golden record concepts.
  • Working knowledge of data governance, data stewardship, security/RBAC, protected commercial data, supplier-facing access rules, and change control.
  • Strong documentation skills: mapping matrices, data dictionaries, decision logs, process-to-data traceability, UAT scripts, and executive-ready summaries.

Bonus If You Have
  • Foundry / Palantir ontology, Pipeline Builder, Workshop, AIP, Action Types, or comparable enterprise data product / semantic model experience.

Equal Opportunity Employer
Lear Corporation is committed to fair, merit-based employment practices and equal opportunity.
We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.
Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.
Location Code: 0065

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