Job Title Senior Systems Engineer Work Schedule • Onsite – Buffalo, NY Moog is looking for a Senior Systems Engineer in our Military Aircraft Group based in East Aurora, NY.
Job Title Senior Systems Engineer Work Schedule • Onsite – Buffalo, NY Moog is looking for a Senior Systems Engineer in our Military Aircraft Group based in East Aurora, NY.
As the Senior Director of Talent & Learning, you will serve as the enterprise leader responsible for shaping, executing, and governing the company’s global learning strategy.
As the Senior Director of Talent & Learning, you will serve as the enterprise leader responsible for shaping, executing, and governing the company’s global learning strategy.
Job Title Electronics Technician II - 2nd Shift Work Schedule • Onsite – Buffalo, NY Our Team in Military Aircraft Group is looking for an Electronics Technician II to join them.
Job Title Electronics Technician II - 2nd Shift Work Schedule • Onsite – Buffalo, NY Our Team in Military Aircraft Group is looking for an Electronics Technician II to join them.
Job Title Supply Chain Process Manager Reporting To Director, Supply Chain Program Work Schedule • Hybrid – Buffalo, NY As global leaders in motion control across land, sea, air, and space, Moog pioneers advanced solutions, including both hardware and software, to drive innovation in customer products.
Job Title Supply Chain Process Manager Reporting To Director, Supply Chain Program Work Schedule • Hybrid – Buffalo, NY As global leaders in motion control across land, sea, air, and space, Moog pioneers advanced solutions, including both hardware and software, to drive innovation in customer products.
As a PWB Designer, your day-to-day work would include: Translation of requirements emanating from a variety of sources used to generate Schematics, Netlists, PWB layouts, Master Pattern (Artwork), 3D/Solid models, layouts and detailed engineering drawings as well as supporting electronic data for PWB fabrication and CCA manufacturing.
As a PWB Designer, your day-to-day work would include: Translation of requirements emanating from a variety of sources used to generate Schematics, Netlists, PWB layouts, Master Pattern (Artwork), 3D/Solid models, layouts and detailed engineering drawings as well as supporting electronic data for PWB fabrication and CCA manufacturing.
Job Title Knowledge Management Engineering Manager Reporting To Director, Knowledge Management Work Schedule • Onsite – Buffalo, NY Moog in East Aurora, NY is hiring a • Knowledge Management Engineering Manager.
Job Title Knowledge Management Engineering Manager Reporting To Director, Knowledge Management Work Schedule • Onsite – Buffalo, NY Moog in East Aurora, NY is hiring a • Knowledge Management Engineering Manager.
Job Title Maintenance Technician - Electrical Systems and Automation Reporting To Manager, Facilities & Maint Work Schedule Onsite – Salt Lake City, UT Moog, Inc. is a global leader in motion control across land, sea air and space, pioneering advanced solutions to drive cutting edge innovation for our valued customers.
Job Title Maintenance Technician - Electrical Systems and Automation Reporting To Manager, Facilities & Maint Work Schedule Onsite – Salt Lake City, UT Moog, Inc. is a global leader in motion control across land, sea air and space, pioneering advanced solutions to drive cutting edge innovation for our valued customers.
Exercise effective and logical engineering judgement in all design decisions, provide organized and thorough technical support as required Obtain a detailed working knowledge of applicable customer application documents, military specifications, and contract requirements Successfully collaborate with internal Moog areas of contract administration, program management, manufacturing, quality, assembly and test to ensure new equipment designs satisfy all stakeholder interests prior to entering production To be considered for the • Design Engineer you will typically need the following… Bachelors of Science in Mechanical Engineering, Aerospace Engineering, Electrical Engineering or Mechanical Engineering Technology; or related degree/discipline with three (3) or more years relevant experience.
Exercise effective and logical engineering judgement in all design decisions, provide organized and thorough technical support as required Obtain a detailed working knowledge of applicable customer application documents, military specifications, and contract requirements Successfully collaborate with internal Moog areas of contract administration, program management, manufacturing, quality, assembly and test to ensure new equipment designs satisfy all stakeholder interests prior to entering production To be considered for the • Design Engineer you will typically need the following… Bachelors of Science in Mechanical Engineering, Aerospace Engineering, Electrical Engineering or Mechanical Engineering Technology; or related degree/discipline with three (3) or more years relevant experience.
Job Title Engineering Technician Reporting To Manager, Engineering Work Schedule Onsite – Mineral Wells, TX Our Moog Military Aircraft Group is looking for an Engineering Technician to support the Engineering Lab by performing hands-on testing, assembling test setups, collecting data, and assisting engineers with product development activities.
Job Title Engineering Technician Reporting To Manager, Engineering Work Schedule Onsite – Mineral Wells, TX Our Moog Military Aircraft Group is looking for an Engineering Technician to support the Engineering Lab by performing hands-on testing, assembling test setups, collecting data, and assisting engineers with product development activities.
Job Title Product Engineer Reporting To Manager Staff, SDG Engineering Work Schedule • Hybrid – Orrville, OH Moog Space and Defense Group is the premier motion and flow control solutions provider for the following markets: satellites, human-rated space vehicles, launch vehicles, missiles, military ground vehicles, and naval vessels.
Job Title Product Engineer Reporting To Manager Staff, SDG Engineering Work Schedule • Hybrid – Orrville, OH Moog Space and Defense Group is the premier motion and flow control solutions provider for the following markets: satellites, human-rated space vehicles, launch vehicles, missiles, military ground vehicles, and naval vessels.
Job Title Electronics Design Engineer Reporting To Manager, Electro-Mgntc Eng & Rsrc Work Schedule • Onsite – Blacksburg, VA Electronics • Design Engineer Moog Blacksburg, Virginia, United States Moog Space and Defense Group is the operating group with the longest heritage at Moog.
Job Title Electronics Design Engineer Reporting To Manager, Electro-Mgntc Eng & Rsrc Work Schedule • Onsite – Blacksburg, VA Electronics • Design Engineer Moog Blacksburg, Virginia, United States Moog Space and Defense Group is the operating group with the longest heritage at Moog.
By joining this team, you will collaborate with experienced analysts across Moody’s global network, contributing to impactful research and supporting informed decision-making across financial markets.
By joining this team, you will collaborate with experienced analysts across Moody’s global network, contributing to impactful research and supporting informed decision-making across financial markets.
Working closely with the MA CEO, senior leadership team, Finance, and business units, the group helps inform, align, and report on Moody’s overall strategy and performance.
Working closely with the MA CEO, senior leadership team, Finance, and business units, the group helps inform, align, and report on Moody’s overall strategy and performance.
Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education/Certifications Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field required Fellow of the Society of Actuaries (FSA) or equivalent actuarial designation required Responsibilities The Associate Director-Actuarial Client • Support serves as a senior actuarial expert delivering modeling guidance, client solutions, and domain expertise within the insurance business unit. • Deliver expert actuarial client support across life, annuity, and/or health insurance lines, leveraging deep knowledge of AXIS or comparable actuarial modeling platforms • Partner with clients to understand complex modeling requirements, troubleshoot issues, and design tailored actuarial solutions • Support clients in implementing and validating actuarial models for pricing, valuation, ALM, corporate modeling, stochastic modeling, and/or risk management purposes • Communicate complex actuarial concepts clearly and effectively to both technical and non-technical internal and external stakeholders • Collaborate cross-functionally with product development, research, and technology teams to enhance software capabilities and service delivery • Contribute to documentation, training materials, and best practice guidelines to support client onboarding and ongoing education Operate independently with a high degree of accountability while escalating matters appropriately to senior leadership About the Team Our Actuarial Client Support team within the Insurance business unit is responsible for delivering deep technical and actuarial expertise to life and health insurance clients across North America.
Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education/Certifications Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field required Fellow of the Society of Actuaries (FSA) or equivalent actuarial designation required Responsibilities The Associate Director-Actuarial Client • Support serves as a senior actuarial expert delivering modeling guidance, client solutions, and domain expertise within the insurance business unit. • Deliver expert actuarial client support across life, annuity, and/or health insurance lines, leveraging deep knowledge of AXIS or comparable actuarial modeling platforms • Partner with clients to understand complex modeling requirements, troubleshoot issues, and design tailored actuarial solutions • Support clients in implementing and validating actuarial models for pricing, valuation, ALM, corporate modeling, stochastic modeling, and/or risk management purposes • Communicate complex actuarial concepts clearly and effectively to both technical and non-technical internal and external stakeholders • Collaborate cross-functionally with product development, research, and technology teams to enhance software capabilities and service delivery • Contribute to documentation, training materials, and best practice guidelines to support client onboarding and ongoing education Operate independently with a high degree of accountability while escalating matters appropriately to senior leadership About the Team Our Actuarial Client Support team within the Insurance business unit is responsible for delivering deep technical and actuarial expertise to life and health insurance clients across North America.
Skills & Competencies • 13+ years of experience in leveraged finance, credit analysis, investment banking, or a related financial services field, with a proven track record in credit ratings, risk management and success in senior leadership roles Deep expertise in leveraged finance, high-yield debt instruments, leveraged loans, private credit, and evolving capital markets • Strong analytical judgment and ability to interpret complex financial transactions Exceptional communication, presentation, and interpersonal skills with the ability to represent Moody’s at a senior level • Proven ability to build and maintain strong relationships with corporate issuers, private equity sponsors, intermediaries, investors, and media Demonstrated ability to lead, mentor, and develop high-performing teams • Strong collaboration skills with experience working across regions, functions, and product lines Forward-thinking mindset with the ability to contribute to data, digitalization, and process initiatives Commitment to operational excellence, risk management, and regulatory compliance Demonstrated proficiency in using AI tools and technologies to enhance productivity, with a commitment to responsible use and continuous learning Education Bachelor’s degree in finance, economics, business, or a related field; advanced degree preferred Responsibilities • This role leads Moody’s North America Leveraged Finance Research & Outreach strategy, amplifying the franchise’s voice and strengthening market impact.
Skills & Competencies • 13+ years of experience in leveraged finance, credit analysis, investment banking, or a related financial services field, with a proven track record in credit ratings, risk management and success in senior leadership roles Deep expertise in leveraged finance, high-yield debt instruments, leveraged loans, private credit, and evolving capital markets • Strong analytical judgment and ability to interpret complex financial transactions Exceptional communication, presentation, and interpersonal skills with the ability to represent Moody’s at a senior level • Proven ability to build and maintain strong relationships with corporate issuers, private equity sponsors, intermediaries, investors, and media Demonstrated ability to lead, mentor, and develop high-performing teams • Strong collaboration skills with experience working across regions, functions, and product lines Forward-thinking mindset with the ability to contribute to data, digitalization, and process initiatives Commitment to operational excellence, risk management, and regulatory compliance Demonstrated proficiency in using AI tools and technologies to enhance productivity, with a commitment to responsible use and continuous learning Education Bachelor’s degree in finance, economics, business, or a related field; advanced degree preferred Responsibilities • This role leads Moody’s North America Leveraged Finance Research & Outreach strategy, amplifying the franchise’s voice and strengthening market impact.
Skills and Competencies 5+ years of experience at a top tier management consulting, finance, data science, or analytics firm • Experience with enterprise-level deployments of AI, talent analytics, workforce intelligence, and/or measurement strategies • Strong capability in data product thinking, including curation, quality, governance, documentation, and lifecycle ownership, with comfort partnering closely with technical teams Robust knowledge and operational experience with AI and agentic concepts, including translating business workflows into automation and agent requirements and defining success metrics Exceptional executive communication skills with a proven ability to build trust and cultivate strong relationships across all organizational levels, including executive leadership Excellent business acumen with the ability to connect people and talent strategy to enterprise goals • Strong consulting toolkit, including problem structuring, stakeholder management, executive storytelling, and program leadership in ambiguous environments Demonstrated experience defining and executing impact measurement strategies, ideally for talent programs such as learning, leadership, and manager capability initiatives Ability to think strategically while executing efficiently and effectively at a tactical level Education Bachelor’s degree required; advanced degree in business, analytics, data science, or a related field preferred Responsibilities This role serves as the data and AI backbone of the Talent Strategy team, translating enterprise talent strategy into actionable analytics, AI-ready data products, and AI-powered tools that enable faster, higher-quality workforce and talent decisions. • Define and maintain the enterprise Talent Analytics Strategy, including vision, priorities, roadmap, governance, standards, and operating rhythm across key talent domains • Establish single-source-of-truth talent metrics and evolve insights from reactive reporting to predictive, scenario-based analytics • Design and deliver curated, reusable, AI- and agentic-ready talent data products, including skills, roles, capabilities, development signals, and organizational attributes • Build knowledge graphs, context layers, and data quality standards that ensure talent datasets are discoverable, trustworthy, and automation-ready • Develop AI-enabled workforce planning, forecasting, and scenario modeling tools that align skill supply with evolving business and market demand • Define and lead a data-driven organizational design analytics approach, enabling evaluation of structures, spans and layers, role mix, and future-state options • Create and own an enterprise measurement strategy to assess the impact of talent investments from participation through capability and business outcomes • Identify and deliver AI-enabled tools and workflows that streamline talent processes, improve decision quality, and enhance leader and employee experience About the Team The Talent Strategy team at Moody’s designs and delivers enterprise talent solutions that help build a future-ready workforce aligned to business priorities.
Skills and Competencies 5+ years of experience at a top tier management consulting, finance, data science, or analytics firm • Experience with enterprise-level deployments of AI, talent analytics, workforce intelligence, and/or measurement strategies • Strong capability in data product thinking, including curation, quality, governance, documentation, and lifecycle ownership, with comfort partnering closely with technical teams Robust knowledge and operational experience with AI and agentic concepts, including translating business workflows into automation and agent requirements and defining success metrics Exceptional executive communication skills with a proven ability to build trust and cultivate strong relationships across all organizational levels, including executive leadership Excellent business acumen with the ability to connect people and talent strategy to enterprise goals • Strong consulting toolkit, including problem structuring, stakeholder management, executive storytelling, and program leadership in ambiguous environments Demonstrated experience defining and executing impact measurement strategies, ideally for talent programs such as learning, leadership, and manager capability initiatives Ability to think strategically while executing efficiently and effectively at a tactical level Education Bachelor’s degree required; advanced degree in business, analytics, data science, or a related field preferred Responsibilities This role serves as the data and AI backbone of the Talent Strategy team, translating enterprise talent strategy into actionable analytics, AI-ready data products, and AI-powered tools that enable faster, higher-quality workforce and talent decisions. • Define and maintain the enterprise Talent Analytics Strategy, including vision, priorities, roadmap, governance, standards, and operating rhythm across key talent domains • Establish single-source-of-truth talent metrics and evolve insights from reactive reporting to predictive, scenario-based analytics • Design and deliver curated, reusable, AI- and agentic-ready talent data products, including skills, roles, capabilities, development signals, and organizational attributes • Build knowledge graphs, context layers, and data quality standards that ensure talent datasets are discoverable, trustworthy, and automation-ready • Develop AI-enabled workforce planning, forecasting, and scenario modeling tools that align skill supply with evolving business and market demand • Define and lead a data-driven organizational design analytics approach, enabling evaluation of structures, spans and layers, role mix, and future-state options • Create and own an enterprise measurement strategy to assess the impact of talent investments from participation through capability and business outcomes • Identify and deliver AI-enabled tools and workflows that streamline talent processes, improve decision quality, and enhance leader and employee experience About the Team The Talent Strategy team at Moody’s designs and delivers enterprise talent solutions that help build a future-ready workforce aligned to business priorities.
Title Associate Director - Data Analyst Location 7 World Trade Center, 250 Greenwich Street, New York, NY 10007 Duties • Drive projects and initiatives using data and analytics to create business impact and help the organization make informed decisions. • Partner with stakeholders to identify how data and analytics can help the MA business achieve its strategic objectives. • Build strong relationships across the Data & Analytics function and maintain excellent communication with business stakeholders after deployment to ensure the desired impact is achieved. • Identify opportunities to increase customer satisfaction and collaborative relationships. • Support the development and maintenance of databases and data systems. • Identify continuous process improvements; discuss, design, plan and execute process improvements. • Define data modeling and design standards, tools, and best practices.
Title Associate Director - Data Analyst Location 7 World Trade Center, 250 Greenwich Street, New York, NY 10007 Duties • Drive projects and initiatives using data and analytics to create business impact and help the organization make informed decisions. • Partner with stakeholders to identify how data and analytics can help the MA business achieve its strategic objectives. • Build strong relationships across the Data & Analytics function and maintain excellent communication with business stakeholders after deployment to ensure the desired impact is achieved. • Identify opportunities to increase customer satisfaction and collaborative relationships. • Support the development and maintenance of databases and data systems. • Identify continuous process improvements; discuss, design, plan and execute process improvements. • Define data modeling and design standards, tools, and best practices.
New York, NY, King of Prussia, PA8d agoFull-timeOn-site
Responsibilities • Partner across Moody’s business lines to enhance modeling and analytical frameworks, incorporating state‑of‑the‑art ML and deep‑learning techniques. • Design and deliver innovative analytical solutions, leveraging deep learning and quantitative methods to address complex financial, economic, and operational problems. • Identify opportunities for automation and model‑based decision enhancement, applying neural networks, representation learning, and statistical methods to improve accuracy, efficiency, and performance. • Collaborate with cross‑disciplinary teams to build scalable, cloud‑based analytical platforms grounded in clean, well‑engineered data.
Responsibilities • Partner across Moody’s business lines to enhance modeling and analytical frameworks, incorporating state‑of‑the‑art ML and deep‑learning techniques. • Design and deliver innovative analytical solutions, leveraging deep learning and quantitative methods to address complex financial, economic, and operational problems. • Identify opportunities for automation and model‑based decision enhancement, applying neural networks, representation learning, and statistical methods to improve accuracy, efficiency, and performance. • Collaborate with cross‑disciplinary teams to build scalable, cloud‑based analytical platforms grounded in clean, well‑engineered data.
New York, NY, Charlotte, NC, Miami, FL, King of Prussia, PA, Washington, DC8d agoFull-timeOn-site
Skills and Competencies • Experience working with Agile product development processes Prior experience as a technical business analyst or technical product manager • Experience analyzing and designing relational and non-relational datasets, including complex entity relationships Proficiency in SQL for data analysis or similar AI-enabled data platforms • Experience partnering with Legal, Risk, and Data Governance to ensure data privacy and regulatory compliance Demonstrated ability to navigate a matrixed environment and drive stakeholder alignment • Strong analytical and problem-solving skills with persistence in delivering solutions Basic understanding of artificial intelligence concepts, with interest in applying AI tools and responsible AI practices Education Bachelor’s or Master’s degree in finance, economics, computer science, data science, or a related field Responsibilities The Director of Data Governance – Data Modeling leads the development and governance of enterprise data models to ensure trusted, scalable, and AI-ready data across Moody’s Analytics.
New York, NY, Charlotte, NC, Miami, FL, King of Prussia, PA, Washington, DC8d agoFull-time
Skills and Competencies • Experience working with Agile product development processes Prior experience as a technical business analyst or technical product manager • Experience analyzing and designing relational and non-relational datasets, including complex entity relationships Proficiency in SQL for data analysis or similar AI-enabled data platforms • Experience partnering with Legal, Risk, and Data Governance to ensure data privacy and regulatory compliance Demonstrated ability to navigate a matrixed environment and drive stakeholder alignment • Strong analytical and problem-solving skills with persistence in delivering solutions Basic understanding of artificial intelligence concepts, with interest in applying AI tools and responsible AI practices Education Bachelor’s or Master’s degree in finance, economics, computer science, data science, or a related field Responsibilities The Director of Data Governance – Data Modeling leads the development and governance of enterprise data models to ensure trusted, scalable, and AI-ready data across Moody’s Analytics.