Integration Senior Manager, Data & Analytics

Boeing•Seal Beach, CA

23h•Onsite

About The Position

This role is for a Senior Manager to join the Engineering Integration Organization at Boeing Commercial Airplanes (BCA) in Seal Beach, CA. This leader will be responsible for setting the strategy, operating model, and priorities for an organization that delivers 24/7 customer support technology, in-service data capabilities, and reliability analytics across the Boeing fleet. The Senior Manager will lead multiple managers and multi-disciplinary teams, including engineering, product, data science/analytics, IT integration, quality, and lean. The primary accountability is to deliver scalable, secure, compliant, and high-value digital and analytics solutions that enhance airline operational performance and Boeing Customer Support outcomes. Additionally, this role serves as a key integrator across Customer Support, partnering to shape workforce strategy, drive innovation and modernization, and provide leadership and representation on safety governance boards. The role involves providing technical and strategic leadership across analytics, data science, and digital product portfolios, ensuring insights are actionable, trusted, and operationalized into tools and workflows.

Requirements

Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry
1+ years of experience working as a manager in which you had other managers as direct reports
3+ years of experience in leadership either formally or informally leading teams in a cross-functional environment
Ability to support operations and team in 24/7 environment

Nice To Haves

Experience working with customers on technical and business issues
5+ years leading leaders (managers) and cross‑functional teams, including analytics and/or IT-integrated product delivery
5+ years aviation experience (Customer Support, engineering, operations, reliability, or related)
Proven success leading analytics and data organizations through managers delivering production-grade insight products and measurable operational outcomes
Strong working knowledge of data science, analytics, and modern data platforms sufficient to set technical direction, evaluate approaches, and ensure governance and trust in results
Demonstrated ability to partner with IT/enterprise architecture to deliver secure, scalable solutions (cloud/on‑prem, APIs/services, DevSecOps, monitoring/SLAs, cybersecurity)
Demonstrated leadership in workforce strategy, including capability building, talent development, and organizational design
Credible leadership in safety governance, risk management, and compliance-oriented decision making

Responsibilities

Lead managers and teams (domestic & global) in an organization responsible for customer support technology integration, reliability analytics, and enterprise data management.
Provide technical and strategic leadership across analytics, data science, and digital product portfolios—ensuring insights are actionable, trusted, and operationalized into tools and workflows.
Lead analytics/data science managers and teams delivering reliability and performance insights; ensure appropriate statistical rigor, model validation, governance, and clear communication of results for operational decision-making.
Set the vision for in‑service data ingestion, processing, storage, and consumption; drive modernization of data architecture (orchestration, observability, data quality, metadata, lineage, and governance).
Align with IT and Enterprise Architecture on scalable, secure solutions; influence cloud/on-prem infrastructure, integration, API strategy, identity/access, performance, and resilience.
Collaborate with Customer Support and leaders to develop multi-year workforce plans covering skills, hiring, development, succession, and organizational health.
Establish governance, metrics, and operating rhythms; manage prioritization, dependencies, budget, vendors, and risk across multiple programs.
Build executive relationships with airline customers and internal teams; translate complex needs into actionable roadmaps and outcomes.
Lead industry forums and data conferences; advance Boeing’s in-service data strategy and broaden analytics adoption company-wide.
Ability and willingness to travel both domestic and internationally as needed.