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Director of AI & Data Science, Hybrid position

Director of AI & Data Science, Hybrid position

Raytheon TechnologiesTucson, AZ, USA
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Date Posted : 2025-09-02

Country :

United States of America

Location :

AZ807 : RMS AP Bldg 807 1151 East Hermans Road Building 807, Tucson, AZ, 85756 USA

Position Role Type : Hybrid

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

The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance :

DoD Clearance : Secret

Director of AI & Data Science (M7)

Raytheon Digital Technology – Data Analytics and AI (DAAI)

Hybrid Position

Multiple US Location options

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

The Data, Analytics, and AI (DAAI) organization within Digital Technology leads the enterprise strategy and execution of data, advanced analytics, and applied artificial intelligence (AI) across Raytheon. We transform data into trusted intelligence by building predictive models and scalable AI solutions—delivering innovation, measurable impact, and value across the business.

We are seeking an experienced Director of AI & Data Science to join the DAAI Leadership Team. This role will shape the future of data science and AI at Raytheon by leading a high-performing team of data scientists and AI engineers. You will drive innovation by applying the latest advances in machine learning, natural language processing, and computer vision to solve mission-critical challenges. This role provides the opportunity to directly influence business outcomes by transforming data into intelligence that enables smarter decisions, competitive advantage, and measurable impact.

What You Will Do :

  • Team Leadership : Lead high-performing teams delivering production-grade AI / ML and advanced analytics solutions.
  • AI Solution Development & Deployment : Design scalable AI systems for applications in predictive analytics, NLP, computer vision, optimization, and anomaly detection.
  • Innovation & Best Practices : Integrate the latest research, tools, and methodologies into AI development workflows and be a thought leader across Raytheon & RTX.
  • Cross-Functional & Cross-Enterprise Collaboration : Coordinate between business, data, enterprise service, and compliance teams to deliver end-to-end AI solutions
  • Travel : Anticipated 20–40% travel to collaborate with team members and business stakeholders.

Qualifications You Must Have :

  • Role typically requires a University Degree or equivalent experience and minimum 14 years prior relevant experience, or an Advanced Degree in a related field and minimum 12 years' experience. (In lieu of degree, a minimum of 18 years’ relevant experience will be considered).
  • Experience designing and deploying scalable AI / ML solutions (including one or more of the following : predictive analytics, natural language processing, anomaly detection, and computer vision)
  • Experience with data modelling, statistical methods, and algorithm development.
  • Experience with one or more of the following modern AI / ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps practices (e.g., MLFlow, containerization).
  • Experience leading cross-functional teams of data scientists, engineers, and researchers to deliver measurable business outcomes.
  • Ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
  • Qualifications We Prefer :

  • Advanced degree (MS or PhD) in Computer Science, Data Science, AI / ML, Applied Mathematics, or related STEM field.
  • Ability to translate complex technical concepts into business value and communicate effectively with senior leadership.
  • Experience working in regulated industries such as aerospace, defense, or government.
  • Familiarity with cloud platforms (e.g., AWS GovCloud, AzureGov) and modern data platforms (e.g., Snowflake, Databricks).
  • Track record of innovation, such as patents, publications, or enterprise-scale AI deployments.
  • Knowledge of data governance, model risk management, and ethical AI practices.
  • Exceptional leadership skills with track record of building, mentoring, and scaling high-performing teams.
  • Role type :

  • Hybrid : Employees who are working in Hybrid roles will work regularly both onsite and offsite. The ratio of time working onsite will be determined in partnership with your leader.
  • The locations options for this role are Raytheon domestic US sites in the following metro areas : Tucson, AZ; Andover, MA; Huntsville, AL; McKinney / Richardson, TX; Aurora, CO; Dulles, VA (Washington DC).
  • What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value : Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
  • This role is relocation eligible. Relocation assistance available, provided the final candidate meets eligibility requirements.
  • Clearance Information : This position requires the ability to obtain a US Secret security clearance. DCSA Consolidated Adjudication Services (DCSA CAS) , an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here :

  • We Are RTX :
  • Raytheon Mission :
  • The salary range for this role is 176,000 USD - 352,000 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.

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