Description
Cisco’s Campus & Branch Networking Product Management organization spans Enterprise Switching, Wireless, Routing, SD-WAN, Spaces, and Cameras. The Director, Pricing & Analytics leads the team responsible for pricing and monetization analytics, portfolio and market analytics, and decision support across the business.
This role partners closely with Product Management, Finance, Engineering, and other cross-functional leaders to shape portfolio economics and support decisions on pricing, packaging, investment, and growth. The Director sets the pricing and portfolio analytics agenda for the organization and leads a multidisciplinary team that develops market and portfolio insights, financial and scenario models, and scalable decision tools.
Key responsibilities:
- Lead pricing and monetization analytics across the portfolio, including price architecture, packaging, tiering, and discounting.
- Partner with product leaders to assess portfolio positioning and economics across new product introductions, migrations, and bundles.
- Develop market sizing, segmentation, competitive, customer, and channel analyses to identify growth opportunities.
- Build business cases and scenario models that quantify volume, price, mix, software and support attach, investment, gross margin, and breakeven.
- Establish trusted metrics and reporting for portfolio and business performance.
- Lead cross-functional analyses and business reviews, communicate decision-ready recommendations and trade-offs to senior leaders, and measure outcomes.
- Lead and develop a multidisciplinary pricing and analytics team.
Minimum qualifications:
- Bachelor’s degree in Business, Finance, Economics, Engineering, Computer Science, Data Science, or a related field.
- 12+ years of experience in pricing, business analytics, finance, product management, strategy, or a related discipline.
- Experience leading pricing, packaging, and monetization strategy or analytics for a technology portfolio.
- Experience building quantitative business cases and scenario models using financial, product, customer, competitive, or market data.
- Experience leading and developing multidisciplinary teams.
- Experience translating complex quantitative analysis into clear executive narratives.
- Experience using analytical, data-visualization, automation, or AI-enabled tools.
Preferred qualifications:
- MBA or advanced degree in Business, Economics, Engineering, Computer Science, Data Science, or a related field.
- Experience in enterprise networking, cloud infrastructure, enterprise software, SaaS, or a related technology market.
- Experience in management consulting or corporate strategy roles focused on technology portfolio, pricing, or commercial decisions.