Are you passionate about helping the world's most sophisticated enterprises modernize their data architectures for the age of agentic AI? Do you combine deep technical expertise with strategic business acumen and a talent for developing high-performing teams? Join the Worldwide Specialist Organization (WWSO) Strategic Accounts team as a Senior Manager leading the Data Architecture for Agentic Systems practice.

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing enterprise-level customers. We work backwards from our customers' most complex, business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include technical business development, specialist, and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire customer life cycle, from accelerating the adoption of established businesses to developing ideas for new services. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #One Team.

Strategic Accounts represents AWS's most important customer relationships, encompassing recognized industry leaders across digital native businesses, large ISV/SaaS providers, and large enterprises. These customers are collaborative partners who drive innovation and shape the future of cloud services, with sophisticated technical expertise and global operations requiring an enhanced support model.

In this role, you will lead a team of Solutions Architects focused on modernizing data architectures across Strategic Accounts to enable AI and Agentic system readiness. You will own the full scope of the Data Architecture Modernization pillar with accountability for business results and customer outcomes. This is a player-coach role where you will set strategic direction and develop your team while remaining hands-on with customers and technology when the situation demands it.

• Key job responsibilities
• Lead, mentor, and develop a team of Solutions Architects with a mix of generalist and specialist skills, fostering a culture of customer obsession, technical excellence, and continuous learning.
• Own pipeline generation, revenue delivery, and customer modernization goals across Strategic Accounts over a 3-year planning horizon.
• Engage VP and CTO-level customer executives to establish trusted advisor relationships, shape AI readiness roadmaps, and accelerate data modernization decisions.
• Define and execute go-to-market strategy including migration acceleration, open standards adoption, and AI-ready data patterns.
• Drive customer adoption of modern data architectures encompassing unified data governance, data interoperability, and contextual AI capabilities including vector storage, Retrieval Augmented Generation, and agentic data access patterns.
• Collaborate with AWS product teams to influence service roadmaps based on Strategic Accounts customer feedback, ensuring enterprise-scale readiness for new service launches.
• Build and scale reusable patterns, practices, and reference architectures that accelerate customer time-to-value and enable Pro Serve and partner-led implementations.
• Develop and strengthen AWS presence in open source communities, particularly Apache Iceberg, driving thought leadership through events, content, and community building.
• Partner with consulting firms and technology partners to jointly develop and deliver data modernization strategies for Strategic Accounts customers.

About the team
The Worldwide Specialist Organization (WWSO) works backwards from customers to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses, and pride themselves on thinking big, delivering exceptional results for our customers, and working across AWS as #One Team.

Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Mentorship & Career Growth: We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Inclusive Team Culture: Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Basic Qualifications

• Bachelor's degree or above in computer science, computer engineering, or related field
• 5+ years of senior leadership, or 10+ years of progressive technology implementation experience
• 5+ years of managing and developing high performance teams experience
• 5+ years of direct customer engagement, with a focus on support to senior executives (Vice President and C-level) experience
• 5+ years of generating new opportunities with strong focus on pipeline tracking and deal execution through entire sales cycle experience
• 6+ years of experience with enterprise data architectures including at least two of the following: relational databases, analytics platforms, data lakes, data governance, data migration

Preferred Qualifications

• Experience working with consulting partners through solution alignment, account management, product management, program management and business development engagements
• Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
• AWS Professional level certification, or experience in cloud based solution (AWS or equivalent), system, network and operating system
• Master's degree or above in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• Deep expertise in one or more of the following: Apache Iceberg and open table formats, vector databases and AI/ML data pipelines, database migration and modernization, real-time data processing and streaming architectures
• Broad working knowledge across AWS data services including S3, Aurora, DynamoDB, Open Search, Sage Maker, Glue, Athena, and EMR
• Experience with AI and agentic system data requirements including Retrieval Augmented Generation, vector storage, knowledge graphs, and Model Context Protocol
• Established track record of building and scaling open source community engagement and thought leadership programs
• Familiarity with enterprise data governance frameworks, regulatory compliance requirements including GDPR and CCPA, and data quality management practices

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.

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, Mountain View - 231,200.00 - 312,800.00 USD annually
USA, FL, Miami - 201,000.00 - 272,000.00 USD annually
USA, NY, New York - 221,100.00 - 299,200.00 USD annually
USA, VA, Arlington - 201,000.00 - 272,000.00 USD annually
USA, WA, Seattle - 201,000.00 - 272,000.00 USD annually