Product Lead, Commercial Planning

Overview

As Aviation and Product Leader, you drive Cirium’s global Commercial Planning workflow, shaping strategy that helps airlines, airports and partners optimize plans and improve performance. You’ll bridge product, data, analytics and go-to-market to deliver measurable customer outcomes at scale. Your hands-on approach and cross-functional leadership will align opportunities with a compelling value proposition. This role offers impact across a diverse ecosystem and a critical contribution to Cirium’s mission to transform aviation through analytics.

Responsibilities

• Define the Commercial Planning strategy and investment priorities to differentiate Cirium’s offerings
• Lead discovery and co-development with airlines, airports and industry customers to turn planning challenges into validated product opportunities
• Drive collaboration with data providers, third-party data/tech and SaaS partners to expand Cirium solutions
• Partner with Data Science and domain SMEs to create and validate new analytics capabilities solving priority problems
• Align products, data, analytics, AI and delivery surfaces with Sales, Marketing, Consultancy and Customer Success for a coherent portfolio
• Deliver measurable customer outcomes across the workflow and improve adoption and workflow-level performance
• Grow adoption, retention and overall commercial performance; ensure cross-functional alignment across product, data, technology and go-to-market teams

Key requirements

• Significant direct exposure to airline network planning, schedule planning or airport commercial planning teams in industry or via user-focused solutions
• Experience as Product Lead/Senior Product Manager in B2B data, analytics or SaaS
• Proven track record in customer discovery and taking complex products from opportunity to delivery and adoption
• Commercial acumen including market opportunity assessment, investment case building and go-to-market planning
• Ability to influence senior customers, partners and cross-functional teams without formal authority
• Strong analytical judgment balancing quantitative data with customer and market insight
• Experience collaborating with engineering, Data Science, data SMEs, design and commercial teams to deliver analytical products
• Sufficient technical fluency to understand data platforms, APIs, analytics, AI and related trade-offs

• Influence and stakeholder management
• Cross-functional collaboration
• Strategic thinking and prioritization
• Data platforms and APIs
• Analytics and AI concepts
• SaaS product development

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