Director, Data and AI Enablement

RTX

Remote

Quick summary

Work type: Remote
Location: CT
Salary: $186,200–$353,800 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k

This role $270k

$148k most similar roles pay here $376k

This role pays more than 84% of similar roles. Most pay $185,756–$246,150 — the shaded band above. At the midpoint, this role pays about $270k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About RTX

RTX (formerly Raytheon Technologies) is a global aerospace and defense company providing advanced systems and services for commercial, military, and government customers in avionics, missiles, propulsion, and cybersecurity. Industry: Aerospace & Defense

RTX currently has 13 open roles on FindRole.

Listed pay typically runs $86,800–$165,200 across 13 roles with salary data.

Most-posted roles

View all roles at RTX

At a glance

TL;DR · Director, Data and AI Enablement

Role Posting Log in to save

Pratt & Whitney’s Digital and Analytics team seeks a remote Director of Data and AI Enablement to lead global data engineering, AI engineering, and foundational services, ensuring high-quality, accessible, and reliable data across the enterprise. This role involves setting strategy for scalable data and AI capabilities, managing end-to-end lifecycle from raw data through deployment, and establishing standards for security and compliance. Key responsibilities include leading teams in data architecture, integration, and operations, owning global AI capability engineering including MLOps and model hosting, and fostering organizational development. Preferred qualifications include experience with cloud-based data ecosystems like Databricks and Snowflake, expertise in data architecture and observability, and a track record of modernizing and converging capabilities for operational excellence.

Skills

Databricks Snowflake Kubernetes Terraform Python SQL CI/CD MLOps Prometheus Grafana AWS Azure Git SAP S4 PostgreSQL Redis Apache Kafka Data Governance DevOps

What you'll do

Set and lead strategy for data engineering, AI engineering, and foundational services.
Ensure end-to-end lifecycle of diverse raw data sources through to operational insight.
Lead global teams in data architecture, engineering, integration, and operations.
Own global AI capability environments including MLOps tooling and model hosting.
Drive convergence of data and AI capabilities for secure self-service enablement.
Oversee reliability, availability, observability, and security across all data and AI.
Build high-performing teams and foster a culture of engineering excellence.

What we're looking for

Over 12 years of experience in data capabilities, engineering, and operations.
Proven leadership in global engineering and operations organizations.
Expertise in cloud-based data ecosystems like Databricks and Snowflake.
Experience owning AI capabilities, MLOps pipelines, and high-performance compute environments.
Strong understanding of data architecture, observability, and operational frameworks.
Ability to translate business strategy into technical roadmaps for scalable enterprise solutions.
Track record in modernizing systems, ensuring reliability engineering, and achieving operational excellence.

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