Senior Technical Project Manager

Date Posted:

2026-11-09



Country:

United States of America



Location:

US-CT-FARMINGTON-0001 ~ 1 Farm Springs Rd ~ 1 FARM SPRINGS



Position Role Type:

Hybrid



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

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62



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. Join us and help shape the future of aerospace and defense.

The following position is to join our RTX Corporate, Enterprise Services Data organization:

As a Senior Technical Project Manager, Data & AI Delivery, you will drive the development and deployment of enterprise data and AI products across RTX corporate functions. Reporting to the Associate Director of Data and AI, you will collaborate with Enterprise Services Data teams, RTX corporate functions, and Business Unit (BU) stakeholders to shape data and AI priorities, lead strategic initiatives, and drive engagement and adoption of Enterprise Services Data products. Leveraging technologies such as ontology, data products, semantic layers, and AI, you will help advance the Corporate Data Office's strategy and deliver scalable solutions that improve business performance and decision-making. Success in this role requires an AI-first mindset, strong technical and project management capabilities, and the ability to influence and coordinate cross-functional teams to drive execution and measurable business outcomes.

What You Will Do

• Lead complex, enterprise-scale data and AI initiatives from planning through development, deployment, and delivery across RTX corporate functions.
• Partner with Enterprise Services and Business Unit teams to define data and AI priorities, align strategic objectives, and drive engagement and adoption of enterprise data products.
• Collaborate with product owners, engineering teams, and business stakeholders to establish priorities, manage deliverables, and achieve Corporate Data Office objectives.
• Lead Agile scrum teams, applying Agile methodologies and best practices to drive execution, accountability, and continuous delivery.
• Provide hands-on technical expertise in designing, developing, and optimizing SQL stored procedures, views, and queries, including performance tuning across Databricks and Snowflake environments.
• Support enterprise data integration initiatives using HVR (High Volume Replication) to replicate SAP data sources into Snowflake and Databricks.
• Drive the development of ontology and semantic layers to establish trusted, consistent data foundations for enterprise AI solutions.
• Partner with product owners and managers to shape and provide input into the XETA AI product roadmap, helping accelerate product adoption and time to value.
• Develop comprehensive reporting, statistical models, and business performance forecasts by leveraging enterprise data and AI platforms.
• Identify and remove project impediments, proactively escalating risks and blockers to senior leadership to maintain progress and delivery commitments.
• Ensure projects and products follow established Agile and Scrum methodologies, software development practices, and delivery standards.
• Maintain project documentation, milestones, and status updates in Confluence, providing consistent weekly reporting to stakeholders and leadership.
• Identify opportunities to transition manual processes to scalable digital and AI-enabled solutions through incremental, multi-generational roadmaps.
• Monitor data integrity, quality, pipeline performance, and system reliability, identifying and resolving issues that impact successful delivery.

Qualifications You Must Have

• Typically requires a Bachelor's degree or equivalent experience and a minimum of 10 years of relevant experience, or an Advanced Degree in a related field and a minimum of 7 years of relevant experience.
• Experience managing complex, large-scale data and AI initiatives across multiple teams and stakeholders.
• Experience working in a data-driven organization where enterprise data is leveraged as a strategic business asset.
• Experience with large-scale application architecture, enterprise systems, and integration patterns.
• Experience with cloud platforms such as Microsoft Azure or AWS, Kubernetes, and AI technologies.
• Experience leading teams through digital transformation initiatives using Agile development methodologies and Scrum practices.

Qualifications We Prefer

• Hands-on experience designing, developing, and optimizing SQL stored procedures, views, and queries, including performance tuning in Databricks and Snowflake.
• Experience with HVR (High Volume Replication) for replicating SAP data sources into Snowflake and Databricks.
• Strong analytical and problem-solving skills, including diagnosing data integrity and quality issues, pipeline failures, and performance bottlenecks.
• Strong understanding of the software development and engineering lifecycle, from solution conception through development, integration, and delivery.
• Experience developing ontology and semantic layers to support trusted enterprise data and AI solutions.
• Experience with the XETA AI suite of tools to improve productivity, accelerate delivery, and increase time to value.
• Experience shaping product roadmaps and partnering with product owners and engineering teams to deliver enterprise data and AI products.
• Experience developing incremental, multi-generational technology roadmaps that transition manual processes into digital and AI-enabled solutions.
• Demonstrated ability to drive enterprise transformation, influence without direct authority, and coordinate delivery across complex organizational structures.
• Strong technical and business acumen, with the ability to translate business objectives into actionable data and AI initiatives.
• Ability to prioritize competing demands, assess business value, and focus resources on the highest-impact initiatives.
• Strong communication, interpersonal, and organizational skills, with the ability to influence stakeholders and resolve conflicts across cross-functional teams.
• Ability to work independently, adapt to changing priorities, and maintain focus in a complex, rapidly evolving (VUCA) environment.

Learn More & Apply Now!

Work Location

This is a hybrid role, Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

What We Offer: Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, 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, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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