Sr. Worldwide Partner Specialist - Strategic Acceleration, Data & AI GTM

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

Basic Qualifications

- 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 working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), 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 explaining complex technical concepts to various business and technical audiences
- 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 Qualifications

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually