Data & AI Delivery Lead - Enterprise Asset Management (EAM)
•Today
| Verified Pay check_circle | Provided by the employer$59 - $61 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Washington, District of Columbia |
Compare Pay
Verified Pay check_circleProvided by the employer This job pays $37.88 per hour more than the average pay for similar jobs in your area.
$14.67
$22.12
$60.00
About this job
Job Description
Job Description
Job Title: Data & AI Delivery Lead – Enterprise Asset Management (EAM)
Location: Washington, DC (On-site)
Employment Type: Contract (W2 through ZipStaff )
Location: Washington, DC (On-site)
Employment Type: Contract (W2 through ZipStaff )
About the Opportunity
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.
What You’ll Do:
- 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.
Required Qualifications:
- 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.
Preferred Qualifications:
- Direct experience with rail infrastructure, transit networks, or linear assets.
- Databricks Certified Data Engineer (Professional) or Databricks Certified Machine Learning (Associate/Professional).
About ZipStaff
ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches and long-term success.
To apply, please submit your resume highlighting your Databricks Lakehouse work, predictive maintenance / EAM analytics experience, and delivery leadership on enterprise data programs.
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