Enterprise Data, Analytics & AI

Are you ready to move your career forward and help shape our company’s and customers’ futures?

If you aspire to challenge yourself, work with the best in the industry and join a successful team where you can make a meaningful contribution, then we invite you to join us at Ketjen Corporation, a provider of advanced catalyst solutions to leading producers in the petrochemical, refining, and specialty chemicals industries. Together, we can create a legacy marked by innovation, excitement, and energy.

Ketjen is hiring for an Enterprise Data, Analytics & AI Manager. This position is hybrid, and located in Clear Lake, TX.

Key Responsibilities

Data Platform & Engineering

• Architect, build, and operate a scalable enterprise data platform (cloud-native).
• Own the full data lifecycle: ingestion, transformation, storage, orchestration, and consumption layers
• Establish and enforce data quality frameworks, SLA monitoring, and lineage tracking
• Drive adoption of modern data stack tooling (dbt, Airflow, Spark, Kafka, Databricks, Snowflake, etc.)
  
  

AI & Machine Learning

• Define and execute the enterprise AI/ML roadmap in collaboration with business stakeholders
• Oversee the design, development, deployment, and monitoring of production AI/ML models
• Evaluate and integrate large language models (LLMs) and generative AI capabilities into business workflows
• Implement MLOps best practices including CI/CD for models.
  
  

Analytics & Business Intelligence

• Lead the development of self-service analytics capabilities, semantic layers, and BI infrastructure
• Define KPIs, metrics frameworks, and executive reporting cadences
• Championing a data-literate culture by delivering training, documentation, and stakeholder enablement
  
  

Leadership & Governance

• Hire, manage, and mentor a high-performing team
• Own the enterprise master data governance program
• Manage vendor relationships, licensing, and the data & AI budget
• Communicate roadmaps, risks, and results clearly to stakeholders
  
  

Experience

REQUIRED QUALIFICATIONS

• 8 years in data engineering, analytics, or ML roles
• 3 years leading technical data teams
• Hands-on experience ML or AI systems
• Track record of building enterprise-grade data platforms
  
  

Technical Skills

• Expert-level SQL and Python
• Cloud platforms: Azure
• Data warehousing: Databricks or equivalent
• ML frameworks
  
  

Preferred Qualifications

• Experience with LLMs, RAG pipelines, or generative AI in production environments
• Familiarity with real-time streaming architectures (Kafka, Flink, Kinesis)
• Relevant certifications: Databricks Certified
  
  

Benefits Of Joining Ketjen

• Competitive compensation
• Comprehensive benefits package
• A diverse array of resources to support you professionally and personally.
  
  

Apply today and help Ketjen unleash the POTENTIAL of advanced chemistry for industries that power the world.