F135 Depot Data Science & Analytics Senior Manager (Onsite)

RTX•East Hartford, CT

6d•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.

Requirements

Bachelor’s degree in STEM field
10 years of data analytics experience, or an Advanced Degree in STEM field with 7 years of data analytics experience.
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Nice To Haves

Experience with majority of the following tools and technologies: SQL, Python, Power BI, Databricks, and Excel (including Visual Basic for Applications)
Experience working with large datasets, data warehousing, and database management systems within Aerospace and Defense Industry

Responsibilities

Lead and present global depot performance metrics and key process indicators at the Depot Working Group, leveraging advanced data visualization and analytics tools.
Refactor Excel-based forecasting and business models into scalable, script-based solutions with optimized data architectures and machine learning capabilities.
Automate and optimize manual business processes by delivering near-term data science solutions, prototyping predictive analytics tools, and supporting long-term digital transformation initiatives.
Drive data governance efforts for maintenance analytics, ensuring data quality, accuracy, and compliance across systems.
Develop and maintain reusable, scalable data models and products using the F135 data product developer platform and cutting-edge machine learning frameworks.
Lead the creation of automated, dynamic dashboards and reports to track global depot performance and conduct statistical analyses to identify trends and opportunities for improvement.
Collaborate with stakeholders and the Digital Enablement team to pilot advanced technologies (e.g., AI/ML, DBT) and integrate predictive models and emerging tools into forecasting and business processes.
Stay informed on advancements in data science, identify opportunities to innovate, and contribute to digital transformation initiatives by developing new analytics capabilities and tools.
Strengthen your technical expertise in Python, SQL, Power BI, Databricks, and emerging data science tools like AI/ML frameworks and DBT.
Gain hands-on experience in optimizing the performance of a global maintenance network using data science techniques.
Build proficiency in driving enterprise-scale digital transformation and predictive analytics initiatives.
Enhance your leadership and cross-functional collaboration skills by managing analytics-driven strategic projects and partnering with other teams.
Deepen your understanding of data governance, advanced analytics, and scalable data science solution development in support of organizational goals.