Senior Manager Enterprise Data, Analytics & AI

Albemarle; Houston (TX); Hybrid; USD 190,000 - 230,000; Full time

Job summary

Ketjen Corporation is hiring a Senior Manager Enterprise Data, Analytics & AI in Clear Lake, TX. This hybrid role leads data engineering, analytics, and AI programs to deliver enterprise-scale platforms and governance.

You will drive the AI/ML roadmap, oversee production models, and advance MLOps across business units, while mentoring a high-performing team and shaping data-driven decision making.

Qualifications

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

Responsibilities

• Architect, build, and operate a scalable enterprise data platform (cloud-native).
• Own the data lifecycle: ingestion, transformation, storage, orchestration, consumption.
• Establish data quality frameworks, SLA monitoring, and lineage tracking.
• Drive adoption of modern data stack tooling (dbt, Airflow, Spark, Kafka, Databricks, Snowflake).
• Define and execute enterprise AI/ML roadmap with stakeholders.
• Oversee design, deployment, and monitoring of production AI/ML models.
• Implement MLOps include CI/CD for models.
• Lead self-service analytics, semantic layers, and BI infrastructure.
• Define KPIs, metrics, and executive reporting cadences.
• Champion data literacy with training and docs.
• Hire, mentor, and manage a high-performing team.
• Own enterprise master data governance program.
• Manage vendor relationships, licensing, and data & AI budget.
• Communicate roadmaps, risks, and results clearly.

Skills

Data engineering

Analytics

ML

Team leadership

Data platforms

Tools

Azure

Databricks

Kafka

Flink

Kinesis

Job description

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 a Senior Manager 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.