Lead Project Data Analytics Management Specialist

The Boeing Company
Boeing, Defense, Space, and Security (BDS) is seeking a motivated, talented Lead Project Data Analytics Management Specialist to join the Precision Engagement Systems (PES) team located in Saint Charles, MO or Saint Louis, MO
.

Overview: As part of the Space, Intelligence and Weapon Systems (SIWS) organization, PES is a dynamic and growing team focused on attracting and developing top talent to support critical missions on Direct Attack (DA) and Cruise Missiles Systems (CMS) programs. PES delivers unique capabilities through exceptional talent. Programs supported in Saint Charles include Direct Attack weapons (JDAM, SDB, MOP, HAAWC and derivatives) and Cruise Missiles (SLAM ER, Harpoon and development weapons) utilized on various military aircraft and other future contract awards.

• 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 with U.S. Citizenship. 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 modeling best practices, dimensional modeling, and building/maintaining enterprise datasets.
• Experience with large‑scale workforce planning, skills‑based staffing, or labor forecasting.
• Formal project management training/certification (PMP, CAPM, Scrum Master) is a plus.
• Experience in financial analysis, budgeting, or cost modeling to support resource allocation decisions.
• Prior experience supporting cleared programs or government customers.