Director Of Data Analytics Jobs in Grand Rapids, MI
Director Of Data Analytics jobs in Grand Rapids are concentrated downtown along the Monroe Center corridor, in the Medical Mile district, and in the suburban office clusters near Cascade and Wyoming, across healthcare, manufacturing, and financial services. Employers actively hiring include Corewell Health, BISSELL, and BDO. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Open roles20
Top employerCorewell Health
Work type75% On-site
Top credentialBachelor's degree
Companies hiring15
Showing 5 of 20+ Director Of Data Analytics jobs
Artificial Intelligence Data Architect and Engineer
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New 1m ago
Logisnext Americas Inc
Artificial Intelligence Data Architect and Engineer
Grand Rapids, Michigan
New 1m ago
Data Scientist II
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New 1m ago
Meijer
Data Scientist II
Grand Rapids, Michigan
New 1m ago
Data Engineer
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New 1m ago
Corewell Health
Data Engineer
Grand Rapids, Michigan
New 1m ago
Sr. Data Engineer
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New 1m ago
Corewell Health
Sr. Data Engineer
Grand Rapids, Michigan
New 1m ago
Data Analyst - Division of K-12 Education Innovation and Scholar Success
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New 1m ago
Grand Valley State University
Data Analyst - Division of K-12 Education Innovation and Scholar Success
Grand Rapids, Michigan
New 1m ago
New 1m ago
Artificial Intelligence Data Architect and Engineer
Logisnext Americas Inc·Grand Rapids, Michigan
Job functions:
Hybrid
Bachelor's degree
1,001-5,000 employees
Job Description
About Us:
Logisnext Americas Inc. has supported customers for more than 100 years as a technology-driven forklift manufacturer. In addition to being a forklift manufacturer, we are also a total solutions provider offering scalable products and services from material handling and automation to extensive fleet support.
About the role:
The AI Data Architect & Engineer plays a critical role in building and scaling the company’s long‑term data and AI capabilities. This dual-role position is responsible for both architecting enterprise-grade data platforms and hands-on development of data pipelines and integrations that support telematics, operational systems, analytics, predictive maintenance, and AI-driven applications. The ideal candidate combines strong data-engineering execution skills with architectural thinking and experience working with industrial IoT, telemetry, and other high‑volume machine-generated data. This role requires a balance of strategic design leadership and roll‑up‑your‑sleeves implementation.
What you will do:
- Design, implement, and evolve a scalable enterprise data architecture that supports telematics, operational, and enterprise data, including foundational data models, schemas, integration frameworks, and lakehouse architectures, while ensuring performance, reliability, cost efficiency, and scalability.
- Build, maintain, and optimize cloud-based data pipelines and large-scale data processing workflows to support analytics, AI, and enterprise reporting needs.
- Develop and manage ingestion pipelines for high-volume streaming and batch telemetry data from forklifts, sensors, gateways, APIs, and edge devices, ensuring reliable, scalable, and standardized data capture.
- Integrate data across enterprise systems including ERP, CRM, service management, parts and warranty systems, and vendor telematics platforms, while supporting master data alignment across assets, customers, equipment, and locations.
- Standardize, normalize, enrich, and prepare machine-generated and operational data to support predictive maintenance, operational intelligence, predictive analytics, and generative AI or RAG-based applications.
- Collaborate with IT, Analytics, Product Management, Service teams, and third-party vendors to translate business and operational requirements into scalable technical solutions, data integrations, and long-term data strategy contributions.
- Partner with internal technology stakeholders to support data governance, security, access controls, observability, DevOps/DataOps practices, and ongoing optimization of platform performance and cloud costs.
When & Where:
Hybrid Work Schedule: in the office 3 days a week. Travel less than 15%.
What you need to have:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 7+ years of experience in data engineering, data architecture, or cloud-based data platforms
- Strong proficiency in SQL and Python
- Proven experience building and supporting ETL/ELT pipelines and large-scale data processing workflows
- Hands-on experience with cloud platforms, with Microsoft Azure preferred
- Experience working with modern data platforms such as Databricks, Snowflake, Azure Data Factory, and/or Kafka or other event streaming technology
- Strong understanding of data modeling, schema design, database optimization, and data integration patterns
- Experience working with APIs, JSON, streaming data, and IoT or telematics data structures
What would be nice to have:
- Experience in industrial equipment, fleet management, logistics, manufacturing, automotive telematics, or IoT platforms
- Familiarity with predictive maintenance, condition monitoring, or asset optimization concepts
- Experience supporting machine learning or AI-driven applications
- Exposure to edge computing or hybrid cloud and edge architectures
- Experience working with data governance considerations across multiple geographic regions, including North America and Europe
- Prior collaboration with third-party vendors or OEMs on data integrations and platform implementations
What we offer:
- Medical, dental, and vision benefits
- Paid Vacation, Sick Time, and Paid Holidays
- Profit Sharing Opportunities
- Flexible Spending and HSA Accounts
- 401k with automatic company contribution and company match
- Short-term and long-term disability insurance
- Life, Dependent Life, and AD&D Insurance
- Paid Parental Leave (Includes 6-8 weeks of maternity leave and 5 days of paternity leave)
- Employee Assistance Program
- Employee Discounts
- On-site fitness center (Houston)
- On-the-job training and development
The specific salary for a successful candidate will depend upon, among other legitimate factors, education, training, and/or experience.
To be considered for this role, all applicants must submit a full and complete application through our careers page.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Equal Opportunity Employer/Veterans/Disabled
Agency Disclaimer:
Logisnext Americas Inc. does not accept unsolicited resumes from third party vendors. Any unsolicited resumes from a third party will become the property of the company to use at the company’s discretion, with the understanding that Mitsubishi Logisnext Americas, Inc. will not be billed a fee for any such resumes. If a company is designated as an approved vendor, then said company can only provide assistance on those positions requested via a formal written agreement of support.
Logisnext Americas Inc
Artificial Intelligence Data Architect and Engineer
Grand Rapids, Michigan
New 1m ago1,001-5,000 employees
Job functions:
Hybrid
Bachelor's degree
Job Description
About Us:
Logisnext Americas Inc. has supported customers for more than 100 years as a technology-driven forklift manufacturer. In addition to being a forklift manufacturer, we are also a total solutions provider offering scalable products and services from material handling and automation to extensive fleet support.
About the role:
The AI Data Architect & Engineer plays a critical role in building and scaling the company’s long‑term data and AI capabilities. This dual-role position is responsible for both architecting enterprise-grade data platforms and hands-on development of data pipelines and integrations that support telematics, operational systems, analytics, predictive maintenance, and AI-driven applications. The ideal candidate combines strong data-engineering execution skills with architectural thinking and experience working with industrial IoT, telemetry, and other high‑volume machine-generated data. This role requires a balance of strategic design leadership and roll‑up‑your‑sleeves implementation.
What you will do:
- Design, implement, and evolve a scalable enterprise data architecture that supports telematics, operational, and enterprise data, including foundational data models, schemas, integration frameworks, and lakehouse architectures, while ensuring performance, reliability, cost efficiency, and scalability.
- Build, maintain, and optimize cloud-based data pipelines and large-scale data processing workflows to support analytics, AI, and enterprise reporting needs.
- Develop and manage ingestion pipelines for high-volume streaming and batch telemetry data from forklifts, sensors, gateways, APIs, and edge devices, ensuring reliable, scalable, and standardized data capture.
- Integrate data across enterprise systems including ERP, CRM, service management, parts and warranty systems, and vendor telematics platforms, while supporting master data alignment across assets, customers, equipment, and locations.
- Standardize, normalize, enrich, and prepare machine-generated and operational data to support predictive maintenance, operational intelligence, predictive analytics, and generative AI or RAG-based applications.
- Collaborate with IT, Analytics, Product Management, Service teams, and third-party vendors to translate business and operational requirements into scalable technical solutions, data integrations, and long-term data strategy contributions.
- Partner with internal technology stakeholders to support data governance, security, access controls, observability, DevOps/DataOps practices, and ongoing optimization of platform performance and cloud costs.
When & Where:
Hybrid Work Schedule: in the office 3 days a week. Travel less than 15%.
What you need to have:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 7+ years of experience in data engineering, data architecture, or cloud-based data platforms
- Strong proficiency in SQL and Python
- Proven experience building and supporting ETL/ELT pipelines and large-scale data processing workflows
- Hands-on experience with cloud platforms, with Microsoft Azure preferred
- Experience working with modern data platforms such as Databricks, Snowflake, Azure Data Factory, and/or Kafka or other event streaming technology
- Strong understanding of data modeling, schema design, database optimization, and data integration patterns
- Experience working with APIs, JSON, streaming data, and IoT or telematics data structures
What would be nice to have:
- Experience in industrial equipment, fleet management, logistics, manufacturing, automotive telematics, or IoT platforms
- Familiarity with predictive maintenance, condition monitoring, or asset optimization concepts
- Experience supporting machine learning or AI-driven applications
- Exposure to edge computing or hybrid cloud and edge architectures
- Experience working with data governance considerations across multiple geographic regions, including North America and Europe
- Prior collaboration with third-party vendors or OEMs on data integrations and platform implementations
What we offer:
- Medical, dental, and vision benefits
- Paid Vacation, Sick Time, and Paid Holidays
- Profit Sharing Opportunities
- Flexible Spending and HSA Accounts
- 401k with automatic company contribution and company match
- Short-term and long-term disability insurance
- Life, Dependent Life, and AD&D Insurance
- Paid Parental Leave (Includes 6-8 weeks of maternity leave and 5 days of paternity leave)
- Employee Assistance Program
- Employee Discounts
- On-site fitness center (Houston)
- On-the-job training and development
The specific salary for a successful candidate will depend upon, among other legitimate factors, education, training, and/or experience.
To be considered for this role, all applicants must submit a full and complete application through our careers page.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Equal Opportunity Employer/Veterans/Disabled
Agency Disclaimer:
Logisnext Americas Inc. does not accept unsolicited resumes from third party vendors. Any unsolicited resumes from a third party will become the property of the company to use at the company’s discretion, with the understanding that Mitsubishi Logisnext Americas, Inc. will not be billed a fee for any such resumes. If a company is designated as an approved vendor, then said company can only provide assistance on those positions requested via a formal written agreement of support.
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Find JobsDirector Of Data Analytics Job Market in Grand Rapids
Who's Hiring
- Corewell Health5
- BISSELL2
- BDO1
- Meijer1
- AIRLIFE1A
Top Industries Hiring
- Manufacturing2
- Accounting & Auditing1
- Technology & Software1
- Investment & Asset Management1
- Consulting & Professional Services1
Director Of Data Analytics Jobs in Grand Rapids: Frequently Asked Questions
How do I get a director of data analytics job in Grand Rapids?
The strongest path in Grand Rapids is targeting its dominant sectors: health systems anchored in the Medical Mile, mid-size manufacturers, and regional financial institutions and insurers. Candidates who can demonstrate experience translating data strategy into operational outcomes stand out here. Familiarity with healthcare data governance or manufacturing analytics gives a real edge, and networking through local West Michigan tech and business groups accelerates visibility with hiring managers.
Which companies hire director of data analyticss in Grand Rapids?
Employers hiring director of data analyticss in Grand Rapids right now include Corewell Health, BISSELL, and BDO, based on current listings on Migrate Mate as of July 2026. Grand Rapids draws a mix of large regional health networks, established manufacturers, insurance carriers, and growing professional services firms, all of which maintain dedicated analytics leadership teams.
Are there remote director of data analytics jobs in Grand Rapids?
Yes, though director of data analytics roles are only partially remote given the leadership, stakeholder, and cross-functional coordination they require. About 25% of director of data analytics openings tied to Grand Rapids are remote or hybrid as of July 2026, with hybrid being the more common arrangement. Strategic planning, reporting, and team oversight tend to be the most location-flexible components in Grand Rapids-based roles.
How can I get a director of data analytics job in Grand Rapids with little or no experience?
The most realistic entry path locally is building toward director-level roles through mid-level analyst or analytics manager positions at Grand Rapids health systems, regional insurers, or mid-size manufacturers, which often promote from within. Grand Rapids employers tend to value candidates who have led small analytics teams or owned a reporting function, even informally. Gaining exposure to healthcare or supply-chain data, which are central to the local economy, makes a candidate markedly more competitive for that first director role.
Which industries hire the most director of data analyticss in Grand Rapids?
Most director of data analytics openings in Grand Rapids sit in Manufacturing, Accounting & Auditing, and Technology & Software, per current listings on Migrate Mate as of July 2026. Grand Rapids' identity as a regional healthcare hub and a center for advanced manufacturing and financial services means those sectors consistently generate the highest demand for senior analytics leadership.
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