About
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 REQUIRED QUALIFICATIONS
Experience
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.
Languages
- English
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