Senior Manager Enterprise Data, Analytics & AI

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