Business Dev Anst Prin
BAE Systems · baesystems.com
San DiegoLead / Manager
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The job in short
Lead strategic analytics team supporting commercial aviation aftermarket business development.
Data scienceRecruitmentSQL
Details
- Found
- 7 d ago · posted 2026-10-19
- Location as listed
- San Diego, California, United States
- Role
- Engineering Manager
- Source
- The company’s own careers site
Full description
What’s it like to shape the lifecycle of the world’s most advanced aircraft? At BAE Systems, it means turning fleet data and market trends into sustainable growth strategies that keep the global aviation industry flying safely and efficiently.
Our Commercial Aviation Aftermarket team focuses on the long-term success of our platforms, ensuring that sustainment and support services evolve alongside our customers' needs. As a Strategic Analytics Manager, you will lead the analytical engine that drives our aftermarket strategy, identifying the most profitable and impactful ways to support aircraft throughout their operational lives. This career opportunity places you at the intersection of data science and business strategy, where your insights directly shape our regional growth and service offerings. In this job, you will lead a team of experts to translate complex aviation data into a competitive advantage.
Responsibilities include but are not limited to:
• Strategic Oversight: Manage the intake and prioritization of internal of requests, ensuring the team delivers high-impact analysis aligned with business priorities
• Analytical Modeling: Oversee and contribute to the development of advanced reports, dashboards, forecasts, and analytical models that translate complex data into actionable executive insights.
• Opportunity Origination: Proactively identify strategic opportunities through market intelligence and business observation; scope strategic projects by defining the problem, expected value, and proposed approach.
• Business Case Development: Prepare comprehensive business cases and evaluate alternatives, including cost-benefit analyses, resource requirements, and strategic alignment.
• Roadmap Development: Lead the architectural design and long-term planning of business analysis tools to anticipate and meet evolving business needs
• Executive Partnership: Act as the primary analytics consultant to Business Development, translating data insights into executable regional growth strategies
• KPI Governance: Direct the definition, implementation, and standardization of Key Performance Indicators (KPIs) to measure and report on strategic growth
• Market Intelligence Leadership: Synthesize commercial aerospace trends and competitive dynamics into high-level opportunity assessments for executive review
• Cross-Functional Alignment: Lead synchronization efforts between BD and program teams to ensure data objectives are aligned with overarching corporate goals
• Problem Solving: Lead root cause analysis for complex business anomalies and drive the implementation of systemic solutions
• Executive Communication: Present findings and strategic recommendations to leadership to support investment decisions and long-term strategic planning.
Team Deliverables & Quality Oversight
• Operational Management: Manage the team’s intake and prioritization of data requests, establishing clear milestones, responsibilities, and quality expectations.
• Quality Assurance: Review and validate all team analyses, models, and reports for data accuracy, sound methodology, and alignment with stakeholder requirements.
• Standardization: Establish and maintain consistent analytical methods, review practices, templates, and documentation standards (e.g., ERD standards, data governance) to improve team efficiency.
• Delivery Management: Monitor project progress, manage dependencies, and resolve or escalate issues to ensure the timely delivery of high-impact analysis.
People Management
• Team Leadership: Lead the business analysis team by setting individual objectives and aligning team priorities with overarching corporate goals.
• Talent Acquisition: Own the recruitment, candidate selection, and onboarding process to build and maintain a high-capability analytics team.
• Performance Management: Set clear performance expectations, provide ongoing coaching, conduct formal reviews, and proactively address performance gaps.
• Professional Development: Support employee growth through the creation of individual development plans, training, and opportunities for expanded responsibility.
• Resource Allocation: Manage team capacity and allocate work based on skill sets to ensure optimal resource utilization.
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