Director, Data and AI Enablement
Location
Connecticut
Posted
2 days ago
Salary
$186.2K - $353.8K / year
Seniority
Lead
Job Description
Director, Data and AI Enablement
RTX
• Set and lead the strategy for data engineering, AI engineering, and foundational data services, ensuring scalability, efficiency, and alignment to business outcomes. • Ensure an end‑to‑end lifecycle from diverse raw data sources—including IoT, field data, and factory/production systems—through engineering, modeling, deployment, monitoring, and operational insight. • Lead global teams across data architecture, data engineering, integration engineering, and data operations. • Establish and enforce standards for coding, observability, resiliency, SLIs and SLOs, incident response, and operational playbooks. • Own global AI capability capabilities including compute environments, MLOps tooling, AI operational workflows, and model hosting capabilities. • Deliver reusable AI capability components that streamline model development, deployment, monitoring, and audit readiness. • Drive global convergence of data and AI capabilities, toolsets, engineering patterns, and operational processes. • Enable secure, governed self service for data, analytics, and AI so teams can build on standardized capabilities with confidence. • Own reliability, availability, observability, and security across all data and AI capabilities. • Oversee global monitoring, incident management, problem management, capacity planning, disaster recovery, and lifecycle management. • Build organizational capability through workforce planning, skill development, mentoring, and global alignment.
Job Requirements
- Bachelor’s degree in Computer Science, Management Information System, Information Technology or related technical field with a minimum of 14+ years of experience across data capabilities, data engineering, capability engineering, and capability operations; OR an advanced degree with a minimum of 12+ years of across data capabilities, data engineering, capability engineering, and capability operations.
- Experience leading large global engineering and operations organizations.
- Deep expertise in cloud based data ecosystems such as Databricks, Snowflake, and associated integration capabilities and cloud native operations.
- Experience owning AI capabilities, MLOps pipelines, model operations, and high performance compute environments.
- Strong understanding of data architecture, engineering patterns, observability, operational frameworks, and capability security.
- Proven ability to translate business strategy into technical roadmaps and deliver scalable enterprise capabilities.
- Demonstrated influence and communication skills across technical and business leadership.
- Track record of modernization, convergence, reliability engineering, and operational excellence.
- Experience building high performing engineering and operations teams.
Benefits
- medical
- dental
- vision
- life insurance
- short-term disability
- long-term disability
- 401(k) match
- flexible spending accounts
- flexible work schedules
- employee assistance program
- Employee Scholar Program
- parental leave
- paid time off
- holidays
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