Data & AI Delivery Lead – Enterprise Asset Management (EAM)

ZipStaff • Washington, DC

8d • Onsite

About The Position

ZipStaff is seeking a Data & AI Delivery Lead to drive end-to-end execution of advanced data, analytics, and AI/GenAI solutions for a major rail and transit organization in Washington, DC. You will be the primary technical leader owning the Databricks Lakehouse architecture used to modernize infrastructure asset management, condition monitoring, and long-term capital planning. The goal is to move traditional fixed-interval maintenance toward predictive, risk-based interventions.

Requirements

• 7+ years of progressive experience in data engineering, advanced analytics, or asset analytics.
• 3+ years of project or program management experience leading complex enterprise data or asset-management solutions.
• Hands-on Databricks Lakehouse experience, including Medallion Architecture, Unity Catalog, and modern AI/ML tooling.
• Deep familiarity with reliability engineering, condition monitoring, predictive maintenance, or enterprise asset management concepts.
• Ability to work on-site in Washington, DC.
• Must be legally authorized to work in the United States without sponsorship now or in the future.

Nice To Haves

• Direct experience with rail infrastructure, transit networks, or linear assets.
• Databricks Certified Data Engineer (Professional) or Databricks Certified Machine Learning (Associate/Professional).

Responsibilities

• Oversee end-to-end delivery of analytics, machine learning, predictive modeling, and GenAI use cases on the enterprise Databricks platform.
• Build and optimize pipelines using Databricks Workflows and Medallion Architecture to ingest sensor feeds, inspection records, maintenance histories, and operational/financial datasets.
• Guide development of predictive health models, failure-probability algorithms, Remaining Useful Life (RUL) indicators, and financial lifecycle cost models.
• Implement enterprise data governance, lineage, and security using Unity Catalog.
• Evaluate and integrate modern Databricks features (Delta Live Tables, MLflow, Vector Search).
• Partner with engineering, reliability, and operations teams to deploy dashboards and risk-scoring frameworks aligned with ISO 55000 and regulatory requirements.
• Bridge executive business strategy and technical execution during high-demand project phases.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed