Data Analytics and AI Leader

Albemarle Netherlands BV; Houston (TX); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits package

Job summary

Albemarle Netherlands BV seeks a Senior Manager, Enterprise Data, Analytics & AI Manager in Clear Lake, TX (Hybrid). In this role, you will build and operate a scalable enterprise data platform, lead AI/ML initiatives, and develop self-service analytics capabilities.

The ideal candidate has over 8 years of experience in data engineering and analytics, strong leadership skills, and expertise in SQL and Python. A comprehensive benefits package and competitive compensation are offered.

Qualifications

• 8+ years in data engineering, analytics, or ML roles.
• 3+ years leading technical data teams.
• Hands-on experience with ML or AI systems.

Responsibilities

• Build and operate a scalable cloud-native enterprise data platform.
• Oversee design, development, deployment, and monitoring of AI/ML models.
• Lead the development of self-service analytics capabilities.

Skills

Data engineering

Analytics

Machine Learning

SQL

Python

Tools

Azure

Databricks

Kafka

Flink

Kinesis

Job description

Senior Manager, Enterprise Data, Analytics & AI Manager

Location: Clear Lake, TX (Hybrid)

Key Responsibilities

• Data Platform & Engineering Architect: build and operate a scalable, cloud‑native enterprise data platform; 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 with business stakeholders; oversee design, development, deployment, and monitoring of production AI/ML models; evaluate and integrate large language models (LLMs) and generative AI 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; champion a data‑literate culture through training, documentation, and stakeholder enablement.
• Leadership & Governance: hire, manage, and mentor a high‑performing technical data 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

• 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.
• Expert‑level SQL and Python.
• Experience with Azure cloud platforms; data warehousing experience with Databricks or equivalent; familiarity with 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 such as Databricks Certified.

Benefits

• Competitive compensation.
• Comprehensive benefits package.

Equal Opportunity Employer. Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity