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Operations Engineer - Enterprise Capacity; Hybrid

Job in East Hartford, Hartford County, Connecticut, 06108, USA
Listing for: Raytheon
Full Time position
Listed on 2026-10-19
Job specializations:
  • Engineering
Job Description & How to Apply Below
Position: Operations Engineer - Enterprise Capacity (Hybrid)
Job d:
Posted 23 Days Ago

Start Date:

Location:

US-CT-EAST HARTFORD-J ~ 400 Main St ~ BLDG JCountry:
United States of America Time Type:
Full time

Date Posted:

Country:

United States of America

Location:

US-CT-EAST HARTFORD-J ~ 400 Main St ~ BLDG J

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:
None/Not Required

Security Clearance Status:
Not Required At RTX, the world's 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.

What You Will Do:

Are you an experienced Operations Engineer who enjoys solving complex capacity challenges and turning data into decisions that impact an entire manufacturing network? Join Pratt & Whitney’s Enterprise Capacity team and play a critical role in ensuring our producer base is prepared to meet the demands of the future. In this highly visible role, you’ll move beyond site-level capacity analysis to influence capacity strategy across P&W’s domestic manufacturing footprint—partnering with Industrial Engineers, manufacturing sites, software developers, and senior leaders to identify risks, improve modeling capabilities, and drive actionable insights.

You’ll leverage enterprise tools such as Kinaxis Maestro and Power BI, lead training and process improvements, and present findings to senior leadership, giving you the opportunity to combine engineering expertise, technology, data analytics, and cross-functional leadership to help shape the capacity readiness of one of the world’s leading aerospace organizations.

Key Responsibilities:

Ensure adherence to standards for Industrial Engineer’s use of Kinaxis Maestro for capacity modelling across multiple sites

Travel approximately 20% to P&W manufacturing sites to collaborate directly with Industrial Engineers, understand capacity-modeling challenges, and identify opportunities to improve enterprise processes and tools.

Gather and analyze capacity information from site Industrial Engineers across multiple units to develop enterprise level insights and recommendations for internal customers

Leverage existing Power BI dashboards to aid in developing reports for internal customers.

Work with a software developer to enhance Kinaxis Maestro based on feedback from the IE’sDevelop and present enterprise capacity insights, risks, and recommendations to leadership and internal customers.

Lead training and adoption of Kinaxis Maestro to IEs across multiple locations

Validate capacity modeling outputs from IEs to ensure accurate representation of risk Qualifications You Must Have:

Bachelor’s degree in engineering, computer science or related discipline and a minimum of 5 years of experience in engineering, operations, or a related field, OR an Advanced degree and a minimum of 3 years of prior relevant experience

Ability to organize, analyze and communicate complex data sets.

Creative problem solving and the ability to lead cross-functional groups without direct authority

Experience with MS Suite of Tools (Excel, PowerPoint, Teams)
Qualifications We Prefer:

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