Sr. Partner Specialist, Data & AI GTM
Listed on 2026-02-18
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IT/Tech
Business Systems/ Tech Analyst, Data Analyst, Data Science Manager, IT Consultant
Description
Role Description
The Partner GTM organization within AWS is seeking a Partner Programs Strategy Lead to architect, scale, and orchestrate the end‑to‑end partner journey for Data & AI across AWS. This role is central to designing the strategic frameworks, programs, and resources that enable partner success throughout their Data & AI journey with AWS. You will be responsible for identifying gaps in the current partner experience, securing cross‑organizational investments, and building scalable mechanisms that drive awareness and adoption of the partner journey through both direct partner engagement and field enablement.
This is a highly strategic role requiring exceptional program design capabilities, stakeholder management skills, and the ability to orchestrate complex initiatives across multiple AWS organizations including Partner Core, field teams, and product groups. You'll serve as the architect of the partner journey, ensuring we have the right programs and resources in place—whether self‑managed by our team or delivered through partnerships with other AWS initiatives—to support our preferred partners' success in Data & AI.
A critical component of this role is creating and executing a comprehensive scaling and adoption plan that reaches partners through multiple channels: direct partner engagement, PDM (Partner Development Manager) and PDS (Partner Development Specialist) enablement, regional team coordination, and innovative GenAI tools and interfaces that streamline partner access to journey resources. Additionally, you will be the external face of AWS Data & AI partner programs, serving as a thought leader who continuously refines our approach based on market research, customer insights, and partner feedback.
Key Job Responsibilities Partner Journey Strategy & Continuous Innovation- Own and continuously evolve the end‑to‑end Data & AI partner journey framework, building on the existing foundation to ensure it remains relevant and competitive.
- Conduct systematic gap analysis of current partner programs and experiences to identify improvement opportunities.
- Synthesize partner feedback, market research, and customer insights to inform journey evolution and influence team priorities and strategies.
- Maintain a big‑picture view on health of partner investments and support across the journey, identifying where additional resources or program changes are needed.
- Create measurement frameworks to track partner progression and program effectiveness.
- Serve as the external face and voice of AWS Data & AI partner programs at industry events, partner conferences, and executive forums.
- Collaborate with market research teams to ensure partner journey design reflects current customer needs, partner capabilities, and market dynamics.
- Publish thought leadership content that articulates the value of the Data & AI partner journey and showcases partner success stories.
- Build AWS's reputation as a thought leader in Data & AI partner ecosystem development.
- Identify and secure the right mix of self‑managed programs and cross‑AWS initiatives to support the partner journey.
- Develop compelling business cases to secure budget allocations and organizational capacity commitments for priority partner programs.
- Build strong partnerships with AWS Partner Core, field organizations, and product teams to leverage existing programs and resources.
- Design governance models and operating mechanisms to ensure cohesive program delivery across multiple teams.
- Build scalable mechanisms to drive awareness of the Data & AI partner journey directly to partners and through PDM/PDS enablement.
- Create standardized messaging, playbooks, and toolkits that can be leveraged across field teams.
- Establish feedback loops with partners and field teams to continuously improve the journey experience.
- Design and implement innovative GenAI tools and interfaces that streamline partner access to journey resources and enable self‑service adoption.
- Coordinate with regional teams to ensure localized execution of the scaling and adoption plan.
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