Senior Data & AI Delivery Lead

RTX

Farmington (CT)

Hybrid

USD 132,000 - 252,000

Full time

2 days ago
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Benefits offered by this job

Healthcare benefits
Flexible work schedules
Retirement plan
Education assistance
Parental leave

Job summary

RTX is seeking a Senior Technical Project Manager, Data & AI Delivery, to drive enterprise data and AI products across corporate functions. You will collaborate with Enterprise Services Data teams, RTX functions, and BU stakeholders to shape priorities and deliver impactful data solutions.

You will lead Agile teams, mentor product owners and engineers, and ensure alignment with the XETA AI roadmap while maintaining strong governance and reporting practices.

Qualifications

  • Bachelor's degree or equivalent with 10+ years of data/AI experience.
  • Proven track record delivering enterprise data and AI programs.
  • Strong collaboration with product, engineering, and business stakeholders.
  • Experience leading Agile teams through large-scale digital transformations.

Responsibilities

  • Lead enterprise-scale data and AI initiatives from planning to delivery.
  • Define priorities with Enterprise Services and BU teams.
  • Partner with product owners and engineers to set priorities.
  • Lead Agile scrum teams and ensure delivery quality.
  • Maintain Confluence docs and weekly stakeholder updates.

Skills

Large-scale data initiatives
Data-driven culture
Enterprise architecture
Azure/AWS
Agile leadership

Education

Bachelor's degree or equivalent
Advanced degree

Tools

Databricks
Snowflake
HVR
Confluence
Jira

Job description

RTX is seeking a Senior Technical Project Manager, Data & AI Delivery, to drive enterprise data and AI products across corporate functions. You will collaborate with Enterprise Services Data teams, RTX functions, and BU stakeholders to shape priorities and deliver impactful data solutions.

You will lead Agile teams, mentor product owners and engineers, and ensure alignment with the XETA AI roadmap while maintaining strong governance and reporting practices.

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