{"schemaVersion":"jobsearcher.job.v1","id":"284cb46a66bec73fb4487a2a","url":"https://jobsearcher.com/jobs/284cb46a66bec73fb4487a2a","canonicalUrl":"https://jobsearcher.com/jobs/284cb46a66bec73fb4487a2a","title":"Data and AI Platform Developer","description":"Great Work Environment\nExploring and Leading\nSupportive Team\n\nPosition Summary\n\nThe Data and AI Platform Developer serves as Flexfab's hands-on data steward and guardian of data quality, security, and compliance for API, AI integration, and analytics initiatives. This role ensures AI and company-data usage are based on accurate, trusted, properly classified data, while preventing sensitive information from being exposed externally or entering the AI ecosystem without approval. The role also owns ERP data mapping for BIRST reporting and dashboards and administers data across MS-SQL, data lakes, Dayforce data, and other enterprise sources.\n\nEssential Duties and Responsibilities\n\nOwn enterprise data quality by establishing trusted data structures and ensuring AI agents and analytics solutions consume accurate, complete, and timely data\nApply and enforce data security rules, including customer-contract restrictions, payment card exclusions, and personal-data protections\nAct as the compliance gatekeeper by reviewing, approving, and documenting sensitive data flowing into AI systems\nPerform ERP data mapping for BIRST reporting and dashboards\nAdminister and develop data from MS-SQL Server, Infor Data Lake, Dayforce, and other business database sources\nSupport custom applications, AI integration, data analytics, and overall application integration with curated, governed datasets\nPartner with Flexfab IT, ERP, Infor/Velocity, and Copilot Studio resources to certify datasets that feed AI agents and automations\nMaintain data dictionaries, lineage documentation, classification taxonomies, and access-control matrices\nDefine and operate data-quality monitoring, profiling, and remediation processes\nCoordinate with the QMS team and IT Helpdesk on change-control records for data-related changes\nConsolidate and administer company legacy data warehouse information\n\nSuccess Measures\n\nData quality: AI agents and analytics solutions consume accurate, complete, timely, and trusted data\nCompliance protection: sensitive data is reviewed, approved, documented, and protected before entering AI systems\nIntegration readiness: ERP, MS-SQL, data lake, Dayforce, and other enterprise datasets are mapped, governed, and usable\nGovernance adoption: data dictionaries, lineage, classifications, access controls, and change records are maintained\nBusiness impact: trusted AI and analytics are enabled while reducing compliance and data-exposure risk\n\nCore Competencies\n\nDecision Quality - makes timely, sound decisions that protect data integrity, compliance, and business outcomes\nPlans and Aligns - organizes governance work, data mapping, quality monitoring, and remediation around business priorities\nAction Oriented - addresses data-quality, security, and integration needs with urgency and follow-through\nDrives Results - delivers trusted datasets, reliable reporting support, and practical governance improvements\nCollaborates - works effectively with IT, ERP, Infor/Velocity, Copilot Studio, QMS, Helpdesk, and business data owners\nSituational Adaptability - adjusts approach across data sources, privacy requirements, analytics needs, and AI use cases\n\nRequired Qualification\n\nEducation\n\nBachelor's degree in Information Systems, Data Science, Computer Science, Statistics, or related discipline; equivalent combination of education and relevant work experience will be considered\n\nExperience\n\nFive to eight years in data management, data engineering, or data governance roles\nMinimum two years working with Microsoft SQL Server and a cloud data lake platform, such as Infor, Microsoft, Amazon, or comparable environments\nDemonstrated experience applying data classification and privacy frameworks, including examples such as TISAX, ITAR, CMMC, GDPR, PCI-DSS, and personal information protections\nBIRST or comparable enterprise BI tool experience preferred, including tools such as Power BI\nDayforce or comparable HCM data-integration experience preferred\nExperience supporting AI/ML or analytics teams with governed, curated datasets\n\nSkills and Tools\n\nStrong T-SQL skills, including stored procedures, views, and performance tuning\nPower BI model authoring, row-level security, and dataset governance experience\nData classification, lineage, master data management, data dictionaries, taxonomies, and access-control practices\nInfor OS, Data Fabric, BIRST training, Microsoft SQL training, project or team lead experience, or MDM program experience preferred\nStrong communication and stakeholder-management skills, including the ability to say 'not yet' when needed to protect compliance\nDetail-oriented, audit-minded, policy-driven, highly collaborative, and comfortable working independently with minimal supervision\n\nCultural Alignment\n\nFlexfab lives its Humble HEARTS values. The Data and AI Platform Developer demonstrates and promotes:\n\nHonesty – Lead with integrity and transparency in technical decision-making and stakeholder interactions.\nExcellence – Relentlessly pursue innovative solutions that exceed expectations in product performance, safety, and quality.\nAccountability – Own the outcomes of technology programs and foster a culture of responsibility within the team.\nRespect – Champion collaboration and value the diverse expertise of engineers, scientists, and partners across functions.\nTeamwork – Build strong cross-functional teams that work in unison to deliver results from concept through launch.\nSupport – Enable professional growth and promote a balanced, high-performing environment that benefits individuals, the organization, and broader community.\n\nWorking Conditions\n\nOffice-based at Flexfab headquarters in Hastings, MI\nOccasional travel to other Flexfab sites or vendor/partner locations, estimated under 10%\nExtended periods of computer work and participation in cross-time-zone meetings as needed to support global operations\nOccasional after-hours support during system go-lives, releases, or critical production issues","company":"Flexfab","rawCompany":"flexfab","city":"Hastings","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-15T10:37:14.881Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data and AI Platform Developer","description":"Great Work Environment\nExploring and Leading\nSupportive Team\n\nPosition Summary\n\nThe Data and AI Platform Developer serves as Flexfab's hands-on data steward and guardian of data quality, security, and compliance for API, AI integration, and analytics initiatives. This role ensures AI and company-data usage are based on accurate, trusted, properly classified data, while preventing sensitive information from being exposed externally or entering the AI ecosystem without approval. The role also owns ERP data mapping for BIRST reporting and dashboards and administers data across MS-SQL, data lakes, Dayforce data, and other enterprise sources.\n\nEssential Duties and Responsibilities\n\nOwn enterprise data quality by establishing trusted data structures and ensuring AI agents and analytics solutions consume accurate, complete, and timely data\nApply and enforce data security rules, including customer-contract restrictions, payment card exclusions, and personal-data protections\nAct as the compliance gatekeeper by reviewing, approving, and documenting sensitive data flowing into AI systems\nPerform ERP data mapping for BIRST reporting and dashboards\nAdminister and develop data from MS-SQL Server, Infor Data Lake, Dayforce, and other business database sources\nSupport custom applications, AI integration, data analytics, and overall application integration with curated, governed datasets\nPartner with Flexfab IT, ERP, Infor/Velocity, and Copilot Studio resources to certify datasets that feed AI agents and automations\nMaintain data dictionaries, lineage documentation, classification taxonomies, and access-control matrices\nDefine and operate data-quality monitoring, profiling, and remediation processes\nCoordinate with the QMS team and IT Helpdesk on change-control records for data-related changes\nConsolidate and administer company legacy data warehouse information\n\nSuccess Measures\n\nData quality: AI agents and analytics solutions consume accurate, complete, timely, and trusted data\nCompliance protection: sensitive data is reviewed, approved, documented, and protected before entering AI systems\nIntegration readiness: ERP, MS-SQL, data lake, Dayforce, and other enterprise datasets are mapped, governed, and usable\nGovernance adoption: data dictionaries, lineage, classifications, access controls, and change records are maintained\nBusiness impact: trusted AI and analytics are enabled while reducing compliance and data-exposure risk\n\nCore Competencies\n\nDecision Quality - makes timely, sound decisions that protect data integrity, compliance, and business outcomes\nPlans and Aligns - organizes governance work, data mapping, quality monitoring, and remediation around business priorities\nAction Oriented - addresses data-quality, security, and integration needs with urgency and follow-through\nDrives Results - delivers trusted datasets, reliable reporting support, and practical governance improvements\nCollaborates - works effectively with IT, ERP, Infor/Velocity, Copilot Studio, QMS, Helpdesk, and business data owners\nSituational Adaptability - adjusts approach across data sources, privacy requirements, analytics needs, and AI use cases\n\nRequired Qualification\n\nEducation\n\nBachelor's degree in Information Systems, Data Science, Computer Science, Statistics, or related discipline; equivalent combination of education and relevant work experience will be considered\n\nExperience\n\nFive to eight years in data management, data engineering, or data governance roles\nMinimum two years working with Microsoft SQL Server and a cloud data lake platform, such as Infor, Microsoft, Amazon, or comparable environments\nDemonstrated experience applying data classification and privacy frameworks, including examples such as TISAX, ITAR, CMMC, GDPR, PCI-DSS, and personal information protections\nBIRST or comparable enterprise BI tool experience preferred, including tools such as Power BI\nDayforce or comparable HCM data-integration experience preferred\nExperience supporting AI/ML or analytics teams with governed, curated datasets\n\nSkills and Tools\n\nStrong T-SQL skills, including stored procedures, views, and performance tuning\nPower BI model authoring, row-level security, and dataset governance experience\nData classification, lineage, master data management, data dictionaries, taxonomies, and access-control practices\nInfor OS, Data Fabric, BIRST training, Microsoft SQL training, project or team lead experience, or MDM program experience preferred\nStrong communication and stakeholder-management skills, including the ability to say 'not yet' when needed to protect compliance\nDetail-oriented, audit-minded, policy-driven, highly collaborative, and comfortable working independently with minimal supervision\n\nCultural Alignment\n\nFlexfab lives its Humble HEARTS values. The Data and AI Platform Developer demonstrates and promotes:\n\nHonesty – Lead with integrity and transparency in technical decision-making and stakeholder interactions.\nExcellence – Relentlessly pursue innovative solutions that exceed expectations in product performance, safety, and quality.\nAccountability – Own the outcomes of technology programs and foster a culture of responsibility within the team.\nRespect – Champion collaboration and value the diverse expertise of engineers, scientists, and partners across functions.\nTeamwork – Build strong cross-functional teams that work in unison to deliver results from concept through launch.\nSupport – Enable professional growth and promote a balanced, high-performing environment that benefits individuals, the organization, and broader community.\n\nWorking Conditions\n\nOffice-based at Flexfab headquarters in Hastings, MI\nOccasional travel to other Flexfab sites or vendor/partner locations, estimated under 10%\nExtended periods of computer work and participation in cross-time-zone meetings as needed to support global operations\nOccasional after-hours support during system go-lives, releases, or critical production issues","datePosted":"2026-08-15T10:37:14.881Z","dateModified":"2026-08-15T10:37:14.881Z","hiringOrganization":{"@type":"Organization","name":"Flexfab","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hastings","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"284cb46a66bec73fb4487a2a"},"url":"https://jobsearcher.com/jobs/284cb46a66bec73fb4487a2a"}}