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Program Lead, Data & Analytics Platform

Job in Spring, Harris County, Texas, 77391, USA
Listing for: Kraton Corporation
Full Time position
Listed on 2026-08-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Information Security & Data Protection, Data Warehousing
Salary/Wage Range or Industry Benchmark: 150000 - 220000 USD Yearly USD 150000.00 220000.00 YEAR
Job Description & How to Apply Below

Make a +Difference at Kraton! At Kraton, we make a

Make a +Difference at Kraton! At Kraton, we make a +Difference
, and we are looking for individuals who are also looking to make a difference in their jobs, for our customers and to the world. We are looking to hire a key member of our IT team at our Global Headquarters located in The Woodlands, Texas. The IT Program Lead – Data & Analytics Platform is responsible for defining, delivering, and governing the enterprise data and analytics strategy across the organization.

This role serves as the technology leader for enterprise reporting, business intelligence, data engineering, data governance, and analytics platforms, ensuring business data is transformed into trusted, governed, and actionable insights. We believe in making a +Difference
, as a global manufacturer of sustainable specialty polymers and biobased pine chemicals, delivering innovative, high-performance solutions. We’re proud to offer benefits that meaningfully support you—at work, at home, and everywhere in between.

Some Of The Benefits Offered Are
  • Medical Insurance, including Tele Doc - multiple plans available with Flexible Spending Account & Health Savings Account options
  • Dental & Vision Insurance
  • Health Advocate – free support to help you understand your coverage and answer questions
  • Life Insurance – base coverage paid for by Kraton with option for additional coverage
  • 401k – Kraton provides matching contributions based on enrollment level
  • Employee Assistance Program – provided at no cost to employees
  • Accident, Disability, and Critical Illness Insurance
Key Responsibilities

The position will lead the design, implementation, and operation of a modern enterprise data platform centered on Microsoft Fabric, Power BI, Azure, SAP technologies, and enterprise application integrations. This includes establishing scalable architectures that enable analytics, artificial intelligence (AI), machine learning (ML), predictive analytics, executive reporting, self-service analytics, and enterprise data products. The role is accountable for the secure integration of data from SAP ECC, SAP BW, SAP Datasphere, SAP Analytics Cloud, Microsoft platforms, manufacturing systems, CRM applications, commercial systems, and third‑party applications into a centralized and governed analytics ecosystem.

The position will also establish enterprise standards for data security, segregation, governance, and controlled access to ensure sensitive and confidential information is only available to authorized users and business functions. The key responsibilities of this role include but are not limited to the following:

Enterprise Data & Analytics Strategy
  • Define and execute the enterprise data, analytics, and AI strategy aligned with business objectives.
  • Establish standards, roadmaps, and governance for enterprise reporting, analytics, business intelligence, and data management.
  • Partner with business and executive leaders to identify opportunities for analytics‑driven decision making and operational improvement.
Data Platform Leadership
  • Lead the design, implementation, and support of the enterprise data and analytics platform utilizing Microsoft Fabric, Power BI, Azure, SAP technologies, and related enterprise platforms.
  • Establish scalable, secure, and cost‑effective architectures supporting reporting, self‑service analytics, AI, and predictive analytics.
  • Drive platform performance, reliability, adoption, and continuous improvement.
Enterprise Data Integration
  • Define and govern the integration of SAP and non‑SAP data sources into a centralized analytics ecosystem.
  • Establish standards for data ingestion, transformation, replication, and orchestration across enterprise applications, cloud platforms, and third‑party systems.
  • Ensure enterprise data assets are accurate, consistent, and accessible for analytics and business operations.
Data Governance & Security
  • Establish enterprise governance frameworks for data ownership, quality, security, lineage, and compliance.
  • Define data classification and access standards protecting confidential, financial, HR, operational, and strategic information.
  • Implement security models that provide controlled…
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