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

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