Data and AI Platform Developer

Position Summary

The 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.

• Own enterprise data quality by establishing trusted data structures and ensuring AI agents and analytics solutions consume accurate, complete, and timely data
• Apply and enforce data security rules, including customer-contract restrictions, payment card exclusions, and personal-data protections
• Act as the compliance gatekeeper by reviewing, approving, and documenting sensitive data flowing into AI systems
• Perform ERP data mapping for BIRST reporting and dashboards
• Administer and develop data from MS-SQL Server, Infor Data Lake, Dayforce, and other business database sources
• Support custom applications, AI integration, data analytics, and overall application integration with curated, governed datasets
• Partner with Flexfab IT, ERP, Infor/Velocity, and Copilot Studio resources to certify datasets that feed AI agents and automations
• Maintain data dictionaries, lineage documentation, classification taxonomies, and access-control matrices
• Define and operate data-quality monitoring, profiling, and remediation processes
• Coordinate with the QMS team and IT Helpdesk on change-control records for data-related changes
• Consolidate and administer company legacy data warehouse information

• Data quality: AI agents and analytics solutions consume accurate, complete, timely, and trusted data
• Compliance protection: sensitive data is reviewed, approved, documented, and protected before entering AI systems
• Integration readiness: ERP, MS-SQL, data lake, Dayforce, and other enterprise datasets are mapped, governed, and usable
• Governance adoption: data dictionaries, lineage, classifications, access controls, and change records are maintained
• Business impact: trusted AI and analytics are enabled while reducing compliance and data‑exposure risk

• Decision Quality - makes timely, sound decisions that protect data integrity, compliance, and business outcomes
• Plans and Aligns - organizes governance work, data mapping, quality monitoring, and remediation around business priorities
• Action Oriented - addresses data-quality, security, and integration needs with urgency and follow‑through
• Drives Results - delivers trusted datasets, reliable reporting support, and practical governance improvements
• Collaborates - works effectively with IT, ERP, Infor/Velocity, Copilot Studio, QMS, Helpdesk, and business data owners
• Situational Adaptability - adjusts approach across data sources, privacy requirements, analytics needs, and AI use cases

• Bachelor's degree in Information Systems, Data Science, Computer Science, Statistics, or related discipline; equivalent combination of education and relevant work experience will be considered

• Five to eight years in data management, data engineering, or data governance roles
• Minimum two years working with Microsoft SQL Server and a cloud data lake platform, such as Infor, Microsoft, Amazon, or comparable environments
• Demonstrated experience applying data classification and privacy frameworks, including examples such as TISAX, ITAR, CMMC, GDPR, PCI-DSS, and personal information protections
• BIRST or comparable enterprise BI tool experience preferred, including tools such as Power BI
• Dayforce or comparable HCM data- integration experience preferred
• Experience supporting AI/ML or analytics teams with governed, curated datasets

• Strong T‑SQL skills, including stored procedures, views, and performance tuning
• Power BI model authoring, row‑level security, and dataset governance experience
• Data classification, lineage, master data management, data dictionaries,…