Lead Project Data Analytics Management Specialist

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Location:

Saint Charles, MO or Saint Louis, MO.

As a part of the Space, Intelligence and Weapon Systems (SIWS) organization, Precision Engagement Systems (PES) is a dynamic and growing team focused on supporting missions on Direct Attack and Cruise Missile programs. The programs we support in Saint Charles include JDAM, SDB, MOP, HAAWC and derivatives, and for Cruise Missiles we support SLAM ER, Harpoon and development weapons used on various military aircraft and other platforms.

This is a 50/50 Program Management + Data Analytics role: lead workforce/resource planning and program facilitation while building analytics, automated ETL, and leadership dashboards to enable data‑driven engineering decisions. Hands‑on work with Power BI, Power Query, SQL, and scripting (Python/R) is required; facilitation of cross‑functional governance and program execution is equally important.

• Develop and operationalize analytics, automated ETL pipelines, and dashboards to support workforce planning and engineering program decisions
• Design, compute, and maintain KPIs, trend/variance analyses, forecasting, and risk models; translate findings into actionable staffing and program recommendations
• Build and maintain data models in Power BI (Power Query), author DAX measures, write SQL queries, and use scripting (Python/R) to automate data workflows and validation
• Create executive‑ready reports, visualizations, and briefings; present insights and recommended actions to senior leadership
• Facilitate recurring resource planning cycles, cross‑functional governance, technical reviews, and large‑scale events to align stakeholders and drive program outcomes
• Drive process improvement and change management initiatives that implement analytics‑driven decisions and reduce manual effort
• Establish and enforce data quality standards, definitions, and documentation for workforce and program datasets
• Partner with HR, Finance, Legal, Government Operations, and engineering leadership to ensure analytics address operational needs and compliance
• Lead adoption of analytics platforms and coach stakeholders on metrics interpretation and data‑driven decision making
• Document lessons learned and support program closeout and transition activities

• Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship; an interim and/or final U.S. Secret clearance Post‑Start is required
• Bachelor's degree or higher
• 5+ years of experience working independently and collaboratively in a team environment
• 3+ years building data analytics dashboards and business intelligence solutions in Power BI or Tableau; demonstrable work with Power Query and DAX
• Hands‑on experience with at least one scripting language for data automation (Python, R, or equivalent)
• Proven experience facilitating workforce staffing or other resource planning processes within technical or engineering organizations
• Strong data analysis and automation skills, with demonstrated ability to collect, interpret, and streamline complex data sets
• Proven ability to design KPIs, run trend/variance analyses, forecasting, and present actionable insights to senior leadership
• Excellent verbal and written communication skills, with ability to collaborate effectively with engineers, engineering leadership, and cross‑functional teams

• 3+ years of program or project management experience supporting engineering, product development, or technology programs
• Experience with data pipeline/ETL tooling, cloud data platforms, or orchestration (Azure Data Factory, Airflow, etc.)
• Experience with Tableau, Looker, or other advanced visualization platforms in addition to Power BI
• Experience writing SQL for data transformation, reporting, and analytics
• Familiarity with data…