Senior Manager, Data Platform, AI & Analytics

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

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.