Sr Director, Go-to-Market Strategy

FIS GlobalJacksonville, FL

About The Position

This role leads the definition and execution of go-to-market strategy for FIS’s strategic partner ecosystem, including hyperscalers (AWS, Azure), global system integrators, and key reseller partners. The position works closely with the Strategic Partnerships commercial team and Demand Generation to co-develop and activate joint GTM plans that drive pipeline, revenue, and market adoption. This leader serves as the critical bridge between partnership strategy and field execution—ensuring partner opportunities are translated into scalable, repeatable GTM motions.

Requirements

  • 12 - 15+ years of experience in GTM strategy, product marketing, alliances, or partner management roles
  • Deep experience working with cloud ecosystems (AWS, Azure), system integrators, and channel/reseller models
  • Proven ability to co-develop and execute joint GTM strategies across multiple stakeholders
  • Strong cross-functional leadership and executive communication skills
  • Track record of driving measurable partner-influenced growth in enterprise environments

Nice To Haves

  • Strategic, execution-oriented leader who excels at aligning teams without direct authority and translating complex partner strategies into field-ready GTM motions that drive impact.

Responsibilities

  • Define and own GTM strategy for priority ecosystem partners, aligned to business growth objectives
  • Co-develop joint GTM plans with Strategic Partnerships and Demand Generation, including sales plays, campaigns, and field activation
  • Build clear partner value propositions, solution narratives, and use-case driven messaging
  • Develop scalable GTM playbooks and enablement for sellers and partners (cloud, SI, and channel)
  • Drive adoption of co-sell and partner-led motions across sales teams
  • Partner cross-functionally with Sales, Product, Marketing, and Partnerships to ensure aligned execution
  • Establish and track shared KPIs (e.g., partner-sourced and influenced pipeline, engagement, and conversion), and optimize programs based on performance
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