Director / VP of Data & AI
The Director / VP of Data & AI leads the broader data and machine learning organization, ensuring technical investments translate into measurable business outcomes, managing cloud infrastructure budgets, and fostering data-informed decision-making.
The Director / VP of Data & AI leads the broader data and machine learning organization, ensuring technical investments translate into measurable business outcomes, managing cloud infrastructure budgets, and fostering data-informed decision-making.
Core skills involve bridging technology with executive priorities: articulating architectural trade-offs in financial and operational terms, hiring senior engineering leaders, and maintaining rigorous governance.
Methodologies & technical foundations (% penetration)
Infrastructure & tooling demanded in job specs (% penetration)
Seniority Level Breakdown
Corporate hierarchy distribution
Top Hiring Enterprises
Leading corporations posting this role
- UnitedHealth Group30 positions
- Johnson & Johnson7 positions
- Citigroup4 positions
- TE Connectivity3 positions
- Marriott International3 positions
- Global Payments3 positions
S&P 500 Sector Distribution
Industry sectors generating the highest hiring demand
- Health Care50.5%
- Financials19.4%
- Consumer Discretionary14%
- Information Technology8.6%
- Consumer Staples3.2%
Live Enterprise Job Postings
Sample of active postings directly from corporate ATS boards
VP, Technology and Data Solutions
Vice President, Enterprise Data Strategy & Governance (Solventum)
Vice President, Applied AI Science for Employee Benefits
Vice President, Reinsurance Data, Analytics & Business Performance
Director, Market Intelligence & Commercial Analytics
Director, Data Center Marketing
Director - Data, Analytics & AI
Director of AI/ML Platforms
Recommended Skill Tracks & Certifications
Curated programs on Coursera, DataCamp and cloud providers aligned with these role requirements
Google Cloud Professional Data Engineer Specialization
Official curriculum by Google Cloud covering large-scale data processing with BigQuery, streaming pipelines with Dataflow, and modern lakehouse architecture.
Data Engineer with Python Career Track
Interactive, browser-based coding track covering robust data pipelines, PostgreSQL, unit testing, software design patterns for data, and PySpark fundamentals.
Generative AI with Large Language Models
Created by Andrew Ng and AWS: practical engineering foundations of transformer architectures, pre-training, instruction fine-tuning, and alignment evaluation in production.
Google Cloud Professional Data Engineer
Gold standard certification assessing design, security, scalability, and operational reliability of BigQuery and GCP analytical pipelines.
Databricks Certified Data Engineer Professional
Validates mastery of streaming, batch ETL, Unity Catalog governance, and production Lakehouse architectures with Delta Lake and Spark.