Senior Product Manager - Partner Analytics & AI

Amazon Web Services (AWS); New York (NY); On-site; USD 152,000 - 206,000; Full time

Job summary

Amazon Web Services, Inc. in New York is seeking a Senior Product Manager to shape the partner analytics portfolio, delivering dashboards, data products, planning tools, and AI-powered analytics for partner-facing roles across ASP.

You will translate ambiguous operations into scoped products, drive the roadmaps with finance, GTM, programs, and field teams, and guide AI-enabled capabilities from concept to adoption while tracking health metrics.

Qualifications

• 5+ years of product or program management, product marketing, business development or technology experience.
• Bachelor's degree or equivalent.
• Experience owning/driving roadmap strategy and definition.
• Experience with feature delivery and tradeoffs of a product.
• Experience working with data-intensive products: analytics platforms, BI tools, planning systems, or operational reporting.

Responsibilities

• Owns the product strategy, roadmap, and requirements for the partner analytics portfolio — reporting, data products, planning tools, and AI-powered analytics that serve partner-facing field roles across ASP. Determines what to build, defer, and deprecate.
• Translates complex partner operations workflows into prioritized product requirements — goal cascades, territory planning, program tracking, business review content, adoption analytics — balancing stakeholder needs against technical feasibility and delivery timelines.
• Establishes a shared product vision across the organization by engaging stakeholders and ensuring the roadmap reflects both customer needs and business priorities. Creates buy-in for that vision internally and with cross-functional partners.
• Partners closely with BIE leads and data engineering to foster a collaborative, delivery-focused culture — shaping what the team builds while empowering builders to own how it gets built. Influences data architecture decisions, KPI definitions, and governance frameworks without owning them directly.
• Identifies analytics and data products that help field roles execute more effectively — partner development, program tracking, business reviews, planning workflows — and translates those opportunities into scoped products that serve each role's workflow.
• Drives cross-functional alignment across finance, GTM, programs, and field teams — building shared context on priorities, dependencies, and trade-offs so that the analytics portfolio reflects actual operational needs rather than a queue of ad-hoc requests.
• Shapes the team's AI and agentic strategy — evaluating where LLM-powered agents, natural language interfaces, and intelligent automation can augment field productivity and surface insights at the point of decision. Drives those capabilities from concept through adoption.
• Determines what to automate and what to deprecate — identifies manual, repetitive operational work that can be replaced by product (automated reporting, self-service analytics, intelligent alerting, AI-assisted planning) and sequences those capabilities into the roadmap based on impact and feasibility.
• Defines and tracks product health metrics — adoption, engagement, stakeholder satisfaction, automation coverage, cycle time reduction — using them to prioritize the roadmap and demonstrate impact to leadership.
• Owns communication with leadership and cross-org partner teams — writes narratives that frame product capability in terms of business outcomes, presents trade-offs clearly in business reviews, and builds the credibility to influence how the organization invests in analytics and AI.

Skills

5+ years of product or program

Education

Bachelor's degree or equivalent

Job description

Amazon Web Services, Inc. in New York is seeking a Senior Product Manager to shape the partner analytics portfolio, delivering dashboards, data products, planning tools, and AI-powered analytics for partner-facing roles across ASP.

You will translate ambiguous operations into scoped products, drive the roadmaps with finance, GTM, programs, and field teams, and guide AI-enabled capabilities from concept to adoption while tracking health metrics.