About the job
The AWS Data & AI Partner GTM team supports the world's most innovative partners - from breakthrough startups to Large Language Model Providers (LLMs) to global tech giants - helping them envision and build the future of autonomous AI & Data systems. The WW Partner GTM Specialist for Data will be the driving force behind AWS's partner strategy for joint go to market with ISVs and Consulting partners building Data strategies and architectures, AI-ready data infrastructure, and autonomous agent frameworks. Your strategies will shape how businesses evolve in the age of AI agents, your insights will influence product directions at AWS, and your vision will help partners transform their business models for the AI & Data era.
This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents.
If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future.
Responsibilities
• Collaborate with AWS Data partners, helping them envision and implement Semantic data solutions support autonomous agents and that deliver exceptional customer value. Your insights will shape both partner strategies and AWS's approach to this transformative technology.
• Drive strategic initiatives to accelerate Semantic data and and agentic adoption with a core set of strategic partners
• Develop and execute comprehensive partner strategies that scale data-based solutions and use cases
• Build and manage programs for partner enablement, certification, and funding focused on agent technologies
• Analyze market trends and gather partner/customer feedback to inform Semantic data strategy
• Create scalable frameworks that enable partners to successfully build and deploy agent-based solutions
• Collaborate with AWS service teams to align partner requirements with product development
• Lead the development of partner-ready go-to-market content, resources, and activities
Qualifications
Minimum
- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- 5+ years of in program management, workforce strategy development, or metrics-driven decision making experience
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience selling enterprise software or cloud-based applications
- Experience presenting to both technical and non-technical executive audiences
- Experience leading complex, multi-year initiatives that may be cross-functional and/or span business and technology
Preferred
- Master's degree in business, data science, public administration, finance, engineering, human resources, or related field, or PMP certificate
- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- Experience designing, implementing, and scaling workforce development programs across large-scale operations, including forecasting workforce needs and leveraging analytics to drive program decisions
- Experience interpreting data and making business recommendations across leadership and cross-functional teams
- Experience using analytical tools for workforce metrics and reporting