Anam Zahid
Sr. AI GTM Specialist at AWS
Amazon Web Services (AWS)Innovative and results-driven individual with extensive experience in AI, machine learning, and cloud technologies at Amazon Web Services.
More
Proven track record in driving GenAI initiatives, implementing data-driven strategies, and leading cross-functional teams to achieve ambitious goals. Passionate about leveraging cutting-edge technologies to solve complex business challenges and drive digital transformation. Skilled in product management, technical program management, and fostering collaboration across diverse teams and stakeholders. Committed to promoting diversity and inclusion in tech through initiatives like Women in AIML/Tech.
GTM Index
- AMAZON WEB SERVICES (AWS)JOB
- Senior AI GTM Specialist,…11M
Senior AI GTM Specialist, APJ
Amazon Web Services (AWS)
- Board of Directors - Women…1Y 9M
Board of Directors - Women in AI/ML at Amazon (APJ Lead)
Amazon Web Services (AWS)
Voluntary role: The Woman@Amazon AI/ML Affinity group is a global program dedicated to championing women of all backgrounds in the AI/ML field and to build a community to engage, evolve and empower those aspiring to advance in AI/ML
- Sr. Technical Program Mgr…3Y 8M
Sr. Technical Program Manager - GenAI
Amazon Web Services (AWS)
Lead the GenAI Go-To-Market strategy, operations and internal GenAI adoption framework across AWS teams in Asia Pacific & Japan (APJ), accelerating AI/ML adoption and customer impact. Design and implement field enablement mechanisms, scale programs, and drive cross-functional initiatives. Partner with Business, Tech, and AI Specialist teams to translate business priorities into AI strategies and delivery plans. Own executive reporting on GenAI business performance and collaborate with global teams to drive regional adoption and execution.
- Technical Program Mgr - AP…2Y 3M
Technical Program Manager - APJ SA
Amazon Web Services (AWS)
Led technical strategy and operations for AWS Solutions Architects (SA) across Asia Pacific & Japan (APJ). Developed scalable mechanisms for SA opportunity management, tech goal framework/tracking, and technical validation, improving field efficiency and accelerating customer success. Designed and launched data-driven reporting frameworks, integrating insights from multiple global teams to enhance business decision-making. Spearheaded key enablement programs, including the APJC Tech Summit, to drive knowledge-sharing and technical excellence across the region.
- KENSCIJOB
- Product Mgr2Y
Product Manager
KenSci
• Platform ML Services - Kensci.io: I led the machine learning services component of the KenSci.io platform. Our mission is to empower data scientists and engineers to build and deploy predictive models for healthcare in a scalable, reusable and robust manner.
- Senior Data Scientist8M
Senior Data Scientist
KenSci
• I created a model that predicted the risk of mortality for a patient in the next 6-12 months for the congestive heart failure population. This model was able to provide 84K additional days to act across a 7500 congestive heart failure patient population. This work was part of a proof of concept that led to successful conversion of the project to a pilot. • Deployed a set of insights focused on finding and reducing unwarranted/avoidable cost expenditure in the system. Particularly developed the following prediction models: > Forecasting total cost expenditures across the system to enable proactive evaluation of system costs > Identifying high cost utilizer patients in the population b…
- Data Scientist6M
Data Scientist
KenSci
Led the proof of concept to build a successful operationalized model pipeline with IoT data as input. I built three comparator models with different set of feature inputs that predicted patient deterioration in hospital using vitals measurements taken through a sensory device in addition to basic patient information.
- UNIVERSITY OF WASHINGTONJOB
- Data Scientist - Graduate…7M
Data Scientist - Graduate Student Assistant
University of Washington
I worked as a full stack data scientist with KenSci Inc. team to develop a predictive risk management platform. Specifically: • Built a set of models that predict a patient's risk of readmission to the hospital within 30 days of discharge and improved the performance by 7% from baseline. • Worked on predicting Surgical Site Infection that later won second prize at AMIA '16 • Developed front end visualization applications in Tableau and PowerBI to allow users to consume the predictive insights effectively
- Job: Amazon Web Services (AWS) — Senior AI GTM Specialist, APJ · 2025-11 – present · 9 mo
- Job: University of Washington — Data Scientist - Graduate Student Assistant · 2015-10 – 2016-05 · 7 mo — I worked as a full stack data scientist with KenSci Inc. team to develop a predictive risk management platform. Specifically: • Built a set of models that predict a patient's risk of readmission to the hospital within 30 days of discharge and improved the performance by 7% from baseline. • Worked on predicting Surgical Site Infection that later won second prize at AMIA '16 • Developed front end visualization applications in Tableau and PowerBI to allow users to consume the predictive insights effectively
- Job: KenSci — Senior Data Scientist · 2017-01 – 2017-09 · 8 mo — • I created a model that predicted the risk of mortality for a patient in the next 6-12 months for the congestive heart failure population. This model was able to provide 84K additional days to act across a 7500 congestive heart failure patient population. This work was part of a proof of concept that led to successful conversion of the project to a pilot. • Deployed a set of insights focused on finding and reducing unwarranted/avoidable cost expenditure in the system. Particularly developed the following prediction models: > Forecasting total cost expenditures across the system to enable proactive evaluation of system costs > Identifying high cost utilizer patients in the population b…
- Job: KenSci — Data Scientist · 2016-06 – 2016-12 · 6 mo — Led the proof of concept to build a successful operationalized model pipeline with IoT data as input. I built three comparator models with different set of feature inputs that predicted patient deterioration in hospital using vitals measurements taken through a sensory device in addition to basic patient information.
- Job: Amazon Web Services (AWS) — Board of Directors - Women in AI/ML at Amazon (APJ Lead) · 2025-01 – present · 1y 7mo — Voluntary role: The Woman@Amazon AI/ML Affinity group is a global program dedicated to championing women of all backgrounds in the AI/ML field and to build a community to engage, evolve and empower those aspiring to advance in AI/ML
- Job: Amazon Web Services (AWS) — Technical Program Manager - APJ SA · 2020-01 – 2022-04 · 2y 3mo — Led technical strategy and operations for AWS Solutions Architects (SA) across Asia Pacific & Japan (APJ). Developed scalable mechanisms for SA opportunity management, tech goal framework/tracking, and technical validation, improving field efficiency and accelerating customer success. Designed and launched data-driven reporting frameworks, integrating insights from multiple global teams to enhance business decision-making. Spearheaded key enablement programs, including the APJC Tech Summit, to drive knowledge-sharing and technical excellence across the region.
- Job: KenSci — Product Manager · 2017-10 – 2019-10 · 2y — • Platform ML Services - Kensci.io: I led the machine learning services component of the KenSci.io platform. Our mission is to empower data scientists and engineers to build and deploy predictive models for healthcare in a scalable, reusable and robust manner.
- Job: Amazon Web Services (AWS) — Sr. Technical Program Manager - GenAI · 2022-04 – 2025-12 · 3y 8mo — Lead the GenAI Go-To-Market strategy, operations and internal GenAI adoption framework across AWS teams in Asia Pacific & Japan (APJ), accelerating AI/ML adoption and customer impact. Design and implement field enablement mechanisms, scale programs, and drive cross-functional initiatives. Partner with Business, Tech, and AI Specialist teams to translate business priorities into AI strategies and delivery plans. Own executive reporting on GenAI business performance and collaborate with global teams to drive regional adoption and execution.
- School: University of Washington Tacoma — Master of Science, Computer Science (Specialization in Data Science)
- School: National University of Sciences and Technology (NUST) — Bachelor of Software Engineering, Software Engineering
Skills
Playbooks
All playbooks →No playbooks indexed for this profile yet.
More GTM Engineers
Browse all →- Srinivas Tadepalli, Ph.D., MBALeading GTM for HPC, Accelerated Computing , Generative AI | Physics-based Generative AI, Large Scale ML
NVIDIAex-Dassault Systèmes
- Xiaochen ZhangGlobal AI & Cloud Transformation Executive | Former AWS Global Head of Innovation & GTM | Chief Responsible AI Officer | Driving Digital Transformation & Revenue Growth across Public Sector & Financial Services
AI 2030
ex-World Bank Group
- Jackson VargheseHiring Go To Market Talent at Amazon Web Services AWS Canada 🇨🇦 | GTM Recruiting | Sales & Leadership HiringAmazon Web Services (AWS)
ex-NTT Ltd.
- Gianmaria SbettaAI GTM Lead @ Google Cloud | Angel Investor
Googleex-Venturelab
