Enterprise Data Platform Program Lead

Kraton Corporation; Jacksonville (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

Kraton seeks an IT Program Lead – Data & Analytics to drive the enterprise data strategy, architecture, and governance from its global HQ in The Woodlands (TX). This leader will guide BI, data engineering, and analytics initiatives using Fabric, Power BI, SAP, and cloud services.

Responsibilities include delivering scalable data platforms, enabling AI/ML and self-service analytics, and ensuring data quality and security across the organization.

Qualifications

• Bachelor’s degree in IT, CS, Engineering, Data Science, or related field.
• Master’s degree preferred.
• Certifications in Microsoft Fabric, Azure, Power BI, or SAP Analytics Cloud are a plus.

Responsibilities

• Define, deliver, and govern the enterprise data and analytics strategy across the organization.
• Lead design and implementation of enterprise data platforms using Microsoft Fabric, Power BI, SAP technologies.
• Oversee data governance, security, and data quality across analytics platforms.
• Enable AI/ML, predictive analytics, and self-service analytics for the organization.
• Integrate enterprise applications and ensure scalable architectures.

Skills

Enterprise data platforms

Data governance & security

Analytics & AI

Education

Bachelor’s degree in IT/CS/Engineering/Data Science/Business Analytics

Master’s degree preferred

Certifications: Microsoft Fabric, Azure, Power BI or SAP Analytics Cloud

Tools

Microsoft Fabric

Power BI

Azure Data Services

OneLake

Data Warehouses

Lakehouses

SAP data integration

SAP Analytics Cloud

SAP HANA

Job description

Kraton seeks an IT Program Lead – Data & Analytics to drive the enterprise data strategy, architecture, and governance from its global HQ in The Woodlands (TX). This leader will guide BI, data engineering, and analytics initiatives using Fabric, Power BI, SAP, and cloud services.

Responsibilities include delivering scalable data platforms, enabling AI/ML and self-service analytics, and ensuring data quality and security across the organization.