Data Analytics & Methods Associate Director M6 (Onsite)

RTX•East Hartford, CT

12d•$157,200 - $298,800•Onsite

About The Position

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense. Supervise, develop, and mentor a team of Engineers specializing in a variety of programing languages, AI/ML, workflow development/logic, and big data management. Ensuring technical excellence, task execution, strategic vision and leadership. Collaborate with Component Integrated Product Teams (CIPTs), HSE leadership, and CORE Durability to balance priorities and resources. Partner with peer Discipline Managers to ensure appropriate resource deployment, as well as with Discipline Leads to define and implement strategies to attract, develop, and retain talent within HSE.

Requirements

Bachelor of Science in Science, Technology, Engineering or Mathematics (STEM)
12 years of engineering experience or 10 years of experience with an advanced degree
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Nice To Haves

Master of Science degree.
Strong logical understanding of workflow and code development along with AI/ML and broad understanding of structures, design and durability of hot section hardware.
Previous supervisory experience and proficiency with the Thayer Leadership Operating Model.
Task management skills, including resource planning, scheduling, and risk management.
Experience leading teams to successfully meet technical and schedule requirements.
Capability to work and lead in collaboration with other, non-collocated teams.
Ability to mentor and develop members of the Methods Engineering discipline.
Ability to work across functions, organizations, and all levels of management.
Working knowledge of continuous improvement principles.

Responsibilities

Supervise, develop, and mentor a team of Engineers specializing in a variety of programing languages, AI/ML, workflow development/logic, and big data management.
Ensuring technical excellence, task execution, strategic vision and leadership.
Collaborate with Component Integrated Product Teams (CIPTs), HSE leadership, and CORE Durability to balance priorities and resources.
Partner with peer Discipline Managers to ensure appropriate resource deployment, as well as with Discipline Leads to define and implement strategies to attract, develop, and retain talent within HSE.