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Description

Team Mission & Operating Model
The Data & AI Partner GTM team operates at the frontier of partner development for AWS GenAI and Data services. Our mission is to identify the latest partner and market needs, test and validate hypotheses about how to address them, prove efficacy through measurable outcomes, and then hand off proven motions to scaled programs for broader adoption.

This role is designed to sprint across the team’s most important activities — moving quickly from insight to action, touching each key initiative domain, and driving validation before the team invests at scale.

Where This Role Fits
The Strategic Acceleration Specialist is the cross-functional execution engine for the team’s most critical initiatives. Unlike a traditional program manager who maintains ongoing operations, this individual sprints across Competency, AO, Funding, and Partner Activation — picking up strategic work, driving it through validation, and setting it up for scale. They are the connective thread enabling the team to stay focused on identifying the latest partner and market needs while this role proves what works.

Key Initiative Domains
Competency — Developing and validating new partner competency pathways for GenAI/Data & AI
Accelerated Onboarding (AO) — Testing new partner activation and onboarding motions
Funding — Designing and proving efficacy of partner funding mechanisms
Partner Activation — Driving hypothesis-driven partner engagement programs


Key job responsibilities
Sprint-Based Initiative Execution
Own end-to-end execution of 2-3 strategic initiatives simultaneously, operating in time-boxed sprints
Define clear success criteria and milestones for each sprint; course-correct in real time
Move from problem framing to solution hypothesis to live test within compressed timelines

Cross-Functional Coordination
Coordinate across Partner Development, Solutions Architecture, Marketing, and field teams
Serve as the connective tissue between initiative owners and execution resources
Remove blockers and drive alignment across stakeholders with competing priorities

Hypothesis Testing & Validation
Structure clear hypotheses for each initiative: "If we do X for partner segment Y, we expect Z outcome"
Design lightweight test frameworks to validate assumptions before committing to scale
Iterate rapidly based on signal — pivot, refine, or accelerate based on data

Efficacy Measurement & Reporting
Define and track key metrics for each initiative (partner activation rates, funding ROI, time-to-competency)
Produce concise readouts summarizing what worked, what didn’t, and recommended next steps
Build the evidence base required for scaled program investment decisions

Scaled Program Handoff
Document proven playbooks, standard operating procedures, and implementation guides
Partner with scaled program teams to transfer ownership of validated initiatives
Ensure continuity through knowledge transfer, training materials, and transition support