דרושים Sr Program Operations Manager Data Analysis ב-אמזון ב-Thailand, Bangkok, Bangkok

This role will challenge both your creative and analytical skills. You will build relationships with business stakeholders within AWS and with AWS distribution partners, become a subject matter expert in the distribution channel segment and drive both new partners and new sales campaigns in support of AWS Channel Partners.
Key job responsibilities
• Support the execution of the technology services distribution programs in Thailand and in other ASEAN countries
• Develop structured processes around onboarding, enabling and supporting distribution partners for business and operations
• Work across regional sales and partner teams to nurture a cohort of strategic distribution partners that add significant value to AWS Channel Partners
• Serve as a key member of the AWS distribution team in helping to define and deliver the overall go-to-market strategy
• Own reporting of the distribution business and participate in regular business reviews with leadership and stakeholders
• Utilize salesforce.com and other internal Amazon systems to track key performance metrics
• Willingness to travel 20% and travel mostly in ASEAN.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.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

- At least 5 years of partner/channel business development experience with Distributors/value-added-resellers in the technology industry
- 10+ years of sales, business or partner development providing cross functional and supporting internal and external stakeholders
- 5+years of building teams and development of employees
- Good relationships with Top Distributors in country
- Experience of putting in place Distribution channels and successful execution of business ramp upplans and experience with Cloud channel sales
- - At least 5 years of partner/channel business development experience with Distributors/value-added-resellers in the technology industry
- - 10+ years of sales, business or partner development providing cross functional and supporting internal and external stakeholders
- - 5+years of building teams and development of employees
- - Good relationships with Top Distributors in country
- - Experience of putting in place Distribution channels and successful execution of business ramp upplans and experience with Cloud channel sales

AGS-AIT is looking for a Senior Data Scientist to lead and drive Gen-AI and Science initiatives.Key job responsibilities
• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges.
• Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder

- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with statistical models e.g. multinomial logistic regression
- 5+ years of hands on experience with Python to build, train, and evaluate models

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience working with data engineers and business intelligence engineers collaboratively

Key job responsibilities
• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs.
• Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance).
• Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer.
• Establish data standardization and governance policies to ensure consistency, accuracy, and compliance.
• Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
• Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools).
• Provide technical guidance and best practice on data architecture that meets both traditional reporting purpose and modern AI Agent requirements.

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses

In this backend role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with new AWS technology and complex datasets and proactively to drive the optimal data architecture with the fast changing business and technology. You will ensure we are effectively delivering high quality products that are scalable and meet business requirements.Key job responsibilities
Performance Optimization: Write complex and efficient SQL queries for data manipulation, transformation, and aggregation. Optimize SQL queries to improve performance and efficiency.ETL Process Management: Design, implement, and maintain ETL (Extract, Transform, Load) processes. Ensure accurate and efficient data integration from various sources into the data warehouse and the optimal model to fit downstream usage.Continuous Improvement: Stay informed of industry trends and advancements in AWS based technologies. Recommend and implement improvements to processes and technologies to enhance data warehouse functionality and efficiency.

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 5+ years of professional experience in data warehouse including ETL and optimization for large(multi-TB+) data sets
- Master in SQL and Experience in scripting for automation (e.g. Python)
- Proven problem solving skills, attention to detail, and exceptional organizational skills.

Key job responsibilities
Every day will bring new and exciting challenges on the job while you:
- Make recommendations on AI architecture, security, cost optimization, and operational excellence- Complete analysis and present periodic reviews of AI workload performance- Foster an ecosystem where AI and humans progress together through knowledge sharingDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.
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

- Master's degree in Computer Science, Artificial Intelligence, Machine Learning or related technical field
- Deep understanding of Generative AI fundamentals, Large Language Models, and core AI/ML concepts
- Strong theoretical foundation in AI technologies and their underlying principles
- Strong empirical reasoning skills with ability to formulate theories, make predictions, validate and refine solutions

- PhD in Computer Science, Artificial Intelligence, Machine Learning or related field
- Demonstrated ability to build systematic knowledge frameworks across technology stacks
- Experience with implementing enterprise-scale AI/ML solutions
- Experience with AWS core services across Compute, Storage, Database, and Networking
- Knowledge of cloud architecture patterns and distributed systems, cloud security principles and compliance frameworks
- Experience with container technologies and serverless architectures, modern software development practices and DevOps
- Excellence in stakeholder management and technical communication

Key job responsibilities
Serve as an evangelist for the AWS AI/ML/GenAI products within AWS and externally.Bring the various stakeholders together to help build collective mindshare in augmenting the AWS AI/ML/GenAI products.Establish mechanisms to measure and track metrics related to adoption of the AWS AI/ML/GenAI products, and execute improvements to the approach based on those measurements.About the team
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.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

- 8+ years of customer-oriented experience, including enterprise sales, pre-sales, or solution architect experience.
- 3+ years of AI/ML, or other related technology or product background.
- Knowledge of cloud, big data, and machine learning, with technical selling experience.

- 5+ years of analyzing and interpreting data with SQL Query, experience using SQL to pull data and process data with query/excel- Experience with data visualization using Quicksight or similar tools
- Experience with data pipelines building and data foundation building- Project management experience and solid communication skills

- Python skills is a plus
- Data tools building which enable automation and self-service of data usage
- Experience in using databases in a business environment with large-scale, complex datasets