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Manufacturing Data Analytics Jobs in Howell, MI (NOW HIRING)

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the ...

HCLTech

Data Analyst

Farmington Hills, MI

Must Have: * 2-3 years of experience in Data Analytics, Business Analytics, or a similar role ... Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and ...

North Point Technology

Controls Engineer - MES

Novi, MI · On-site

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

North Point Technology

Midwest - Controls Engineer

Novi, MI · On-site

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

North Point Technology

Controls Engineer

Novi, MI · On-site

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

North Point Technology

Controls Engineer - MES

Novi, MI

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

North Point Technology

Controls Engineer

Novi, MI

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

North Point Technology

Controls Engineer - MES

Novi, MI · On-site

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

North Point Technology

Midwest - Controls Engineer

Novi, MI · On-site

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

North Point Technology

Controls Engineer - MES

Novi, MI · On-site

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

Yanfeng

Senior Business Intelligence Analyst

Novi, MI · On-site

Data Analytics & Business Intelligence * Support end users to analyze production data. * Define ... Provide support to manufacturing facilities throughout the USA and Mexico. European travel is not ...

Yanfeng

Senior Business Intelligence Analyst

Novi, MI · On-site

Data Analytics & Business Intelligence * Support end users to analyze production data. * Define ... Provide support to manufacturing facilities throughout the USA and Mexico. European travel is not ...

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All JobsManufacturing Data Analytics JobsManufacturing Data Analytics Jobs in Howell, MI

Manufacturing Data Analytics information

What is manufacturing data analytics?

Manufacturing data analytics refers to the use of data analysis tools and techniques to collect, interpret, and leverage data generated during manufacturing processes. This approach helps companies identify inefficiencies, predict equipment failures, optimize production, and improve product quality. By analyzing data from sensors, machines, and other sources, manufacturers can make informed decisions that boost productivity and reduce costs. Overall, manufacturing data analytics is key for driving digital transformation and competitiveness in the manufacturing industry.

How do manufacturing data analytics professionals collaborate with production and engineering teams to drive process improvements?

Manufacturing Data Analytics professionals work closely with production and engineering teams by analyzing process data, identifying inefficiencies, and presenting actionable insights. They often participate in cross-functional meetings, where they translate complex data findings into practical recommendations for process optimization, quality improvement, or cost reduction. Effective communication and a collaborative approach are essential, as these professionals must understand operational challenges and ensure data-driven solutions are feasible and aligned with business goals.

What are the key skills and qualifications needed to thrive in manufacturing data analytics, and why are they important?

To thrive in Manufacturing Data Analytics, you need a strong background in statistics, data analysis, and manufacturing processes, often supported by a degree in engineering, data science, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages like Python or R, and ERP/MES systems is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are essential soft skills. These competencies enable professionals to drive process improvements, optimize production, and support data-driven decision-making in manufacturing environments.

What is the difference between Manufacturing Data Analytics vs Manufacturing Data Engineer?

AspectManufacturing Data AnalyticsManufacturing Data Engineer
Primary FocusAnalyzing manufacturing data to improve processes and decision-makingDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsData analysis, statistical skills, knowledge of manufacturing processes, often with certifications in data analytics or related fieldsData engineering, programming (Python, SQL), cloud platforms, database management
Work EnvironmentCollaborates with manufacturing teams, data teams, and managementWorks with IT, data teams, and software engineers to develop data systems
Industry UsageUsed across manufacturing sectors for process optimizationSupports manufacturing analytics by providing data infrastructure

Manufacturing Data Analytics focuses on interpreting manufacturing data to enhance operations, while Manufacturing Data Engineers develop and maintain the data systems that enable such analysis. Both roles are essential in manufacturing data-driven strategies but differ in their core responsibilities and skill sets.

What job categories do people searching Manufacturing Data Analytics jobs in Howell, MI look for?

The top searched job categories for Manufacturing Data Analytics jobs in Howell, MI are:

Manufacturing Data Analytics jobs near you
Infographic showing various Manufacturing Data Analytics job openings in Howell, MI as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 19% Part Time, 3% Contract, and 5% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Director Data Analytics & AI

Novi, MI • On-site

Venteon
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Venteonexternal

Full-time

Re-posted 14 days ago

Key responsibilities

  • Define and execute enterprise-wide data, analytics, and AI strategies aligned with business objectives.

  • Develop and lead a multi-year roadmap encompassing MDM, data governance, analytics platforms, and AI/GenAI capabilities.

  • Drive the development and deployment of high-value analytics and AI solutions supporting commercial performance, forecasting, customer insights, predictive capabilities, and operational intelligence.

Job description


Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth, operational excellence, and digital transformation.
Key Responsibilities
  • Define and execute enterprise-wide data, analytics, and AI strategies aligned with business objectives.
  • Develop and lead a multi-year roadmap encompassing MDM, data governance, analytics platforms, and AI/GenAI capabilities.
  • Establish and mature enterprise Master Data Management processes across key domains including Customer, Product, Supplier, Pricing, and Asset data.
  • Lead enterprise data governance initiatives including data quality, stewardship, lineage, metadata management, and compliance standards.
  • Oversee modern data architecture initiatives including data platforms, lakehouse environments, real-time integration, and scalable AI-ready ecosystems.
  • Drive the development and deployment of high-value analytics and AI solutions supporting commercial performance, forecasting, customer insights, predictive capabilities, and operational intelligence.
  • Partner closely with executive leadership, business stakeholders, engineering, and IT teams to identify and deliver data-driven business outcomes.
  • Build, mentor, and lead high-performing global teams across data engineering, analytics, governance, and data science disciplines.
  • Establish scalable operating models and best practices for delivering reusable data products and AI capabilities.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline; advanced degree preferred.
  • 12+ years of progressive leadership experience within enterprise data, analytics, MDM, and AI organizations.
  • Proven success leading enterprise-scale data transformation and Master Data Management initiatives.
  • Deep understanding of data governance, modern data architectures, and enterprise data platforms.
  • Experience delivering analytics and AI solutions that drive measurable business value.
  • Demonstrated success leading global teams and large-scale transformational programs.
  • Experience with MDM technologies, data quality frameworks, metadata management, and AI/ML platforms is highly preferred.
  • Manufacturing, industrial, aftermarket, or asset-intensive industry experience strongly preferred.
  • Executive presence with the ability to influence and collaborate across all levels of the organization.

What Success Looks Like
  • Improved enterprise data quality, governance, and consistency.
  • Increased adoption and measurable business impact from analytics and AI initiatives.
  • Accelerated delivery of scalable data products and AI capabilities.
  • Enhanced commercial performance, operational efficiency, and customer experience through data-driven decision making.

If you are a high performer and would like to work for an equally high performing company and you think the above opportunity is appropriate for you, we invite you to submit your resume in Microsoft Word format to slewis@venteon.com
We treat all resumes with strict confidentiality. We will always contact you first before submitting your resume to our client(s) for review. If you do not receive correspondence, you are not a fit for this position.
At Venteon our talent acquisition team is proud to provide our clients with the most qualified Accounting & Finance, Engineering, IT and Administrative talent in the industry today.

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