Technical Program Manager - Automation and GenAI
Posted date [2026-08-21]
(ID: 49949)
 |
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Job Description and Requirements
Technical Program Manager - Automation and GenAIJob Snapshot
Role: Technical Program Manager - Automation and GenAI
Location: Dubai, United Arab Emirates
Industry: Logistics and Supply Chain
Function: Program Management
Experience: Minimum 3 years in technology, data, operations, process improvement, or technical program delivery
Job Type: Full-time
Position Overview
Technical Program Manager - Automation and GenAI in Dubai, United Arab Emirates is a Logistics and Supply Chain opportunity focused on automation, generative AI, operational analytics, and technology-led process improvement. Amazon is hiring an experienced technical program professional to develop data-driven solutions, automate operational workflows, improve warehouse performance, and manage technology initiatives that strengthen efficiency, capacity planning, and decision-making across GSF operations.
Job Details
Country: United Arab Emirates
City: Dubai
Industry: Logistics and Supply Chain
Function: Program Management
Salary: 22000-34000
Estimated salary range based on similar jobs in the job city; please confirm the final offer with
the employer.
Gender: Any
Candidate Nationality: Any
Job Type: Full-time
Role Context
The Technical Program Manager will combine software, analytics, automation, and program management capabilities to improve how Amazon operations are planned, measured, and executed. The position will lead initiatives involving GenAI, data engineering, machine learning, dashboards, predictive analytics, and warehouse technology.
A central part of the role is converting operational challenges into practical technical solutions. This includes understanding business requirements, designing scalable tools, coordinating implementation with technical and non-technical teams, and measuring whether delivered solutions produce meaningful operational improvements.
The position also provides end-to-end ownership of technology projects, from requirements and solution design through implementation, stakeholder adoption, reporting, and continuous optimization.
Key Responsibilities
* Lead the development and implementation of automation tools supporting GSF operational requirements.
* Develop and scale GenAI initiatives that improve productivity, decision-making, and operational workflows.
* Translate business and warehouse requirements into practical technical solutions.
* Design data-driven tools that improve operational efficiency and visibility.
* Analyze complex operational datasets to identify bottlenecks, trends, risks, and optimization opportunities.
* Develop predictive models supporting capacity planning, forecasting, and resource decisions.
* Build and maintain ETL pipelines that consolidate data from relevant operational systems.
* Use Python and SQL to automate analysis, reporting, data transformation, and recurring operational processes.
* Create dashboards and reporting systems that provide actionable visibility into key operational metrics.
* Develop data visualizations using platforms such as Tableau or Power BI.
* Partner with warehouse operations teams to identify technology improvements within operational workflows.
* Evaluate existing processes and identify opportunities for automation or technical simplification.
* Apply data science and machine learning techniques where they can improve forecasting, planning, or operational decision-making.
* Manage the full lifecycle of technology implementation projects from requirements through deployment and performance assessment.
* Define program requirements, milestones, schedules, owners, dependencies, and success metrics.
* Work cross-functionally with technical and non-technical teams to coordinate implementation.
* Use data and measurable performance indicators to determine whether process changes are delivering expected improvements.
* Develop structured processes that enable technical solutions to scale across broader operations.
* Apply Agile methodologies to organize project execution and maintain delivery momentum.
* Manage project schedules and track implementation risks, dependencies, and outstanding actions.
* Communicate project progress, results, risks, and recommendations to stakeholders and senior leadership.
* Partner with multiple stakeholder groups at different organizational levels to drive adoption and resolve implementation barriers.
* Support cloud-based technical solutions, with AWS experience particularly relevant.
* Apply advanced Excel capabilities, including Pivot Tables and VLookUps, to operational reporting and analysis.
* Continuously evaluate emerging automation, AI, analytics, and supply chain technologies for practical operational applications.
Ideal Profile
Candidates should hold a bachelor\'s degree in Computer Science, Data Science, Engineering, or a related discipline and have at least three years of relevant experience combining technology, analytics, program delivery, and operational improvement.
Strong Python and SQL capabilities are important for this position. Candidates should also have practical experience with data visualization and reporting tools, ETL development, data science techniques, and process automation.
Experience implementing technology solutions within warehouse, logistics, supply chain, fulfillment, or another operational environment will be particularly valuable.
Applicants should understand how to move from business requirements to technical design and then through implementation, adoption, measurement, and continuous improvement.
At least three years of experience working cross-functionally with both technical and non-technical teams is expected, along with experience using data and metrics to define and implement process improvements.
Advanced Microsoft Excel knowledge, including Pivot Tables and VLookUps, is required.
Candidates with experience driving end-to-end delivery, presenting results to senior leadership, managing multiple stakeholders, building processes, maintaining schedules, and coordinating complex projects will be well suited to the role.
Skills Set
Program Management
Generative AI
GenAI
Automation
Python
SQL
Data science
Machine learning
Predictive modeling
Capacity planning
ETL pipelines
Data engineering
Data visualization
Tableau
Power BI
Amazon Web Services
AWS
Cloud computing
Warehouse management systems
Supply chain technologies
Operational analytics
Process automation
Process optimization
Business requirements analysis
Technical solution design
Operational dashboards
Performance metrics
Advanced Excel
Pivot Tables
VLookUps
Project management
Agile methodologies
Cross-functional collaboration
Stakeholder management
Senior leadership reporting
Forecasting
Data-driven decision making
Technology implementation
Process improvement
Project scheduling
Operational technology
Why Join Us
This opportunity places technology directly inside large-scale Logistics and Supply Chain operations, where automation, artificial intelligence, analytics, and predictive planning can create measurable improvements in daily execution.
The role offers strong exposure to GenAI applications, machine learning, warehouse technology, cloud platforms, operational data, and end-to-end program ownership. It is particularly valuable for professionals who want to build experience at the intersection of technical program management, AI-enabled operations, supply chain technology, and process transformation.
As automation and AI become increasingly important across fulfillment and logistics networks, experience delivering practical technology solutions in this environment can create a strong pathway toward senior technical program management, data and analytics leadership, operations technology, or supply chain transformation roles.
About the Company
Amazon is a global technology and e-commerce company operating extensive fulfillment, transportation, cloud computing, and logistics networks. Its operations teams use software, automation, analytics, artificial intelligence, and scalable technology platforms to improve productivity, planning, customer experience, and the efficiency of complex supply chain operations.
Gender: Any
Candidate Nationality: Any
Job Type: Full-time
Role Context
The Technical Program Manager will combine software, analytics, automation, and program management capabilities to improve how Amazon operations are planned, measured, and executed. The position will lead initiatives involving GenAI, data engineering, machine learning, dashboards, predictive analytics, and warehouse technology.
A central part of the role is converting operational challenges into practical technical solutions. This includes understanding business requirements, designing scalable tools, coordinating implementation with technical and non-technical teams, and measuring whether delivered solutions produce meaningful operational improvements.
The position also provides end-to-end ownership of technology projects, from requirements and solution design through implementation, stakeholder adoption, reporting, and continuous optimization.
Key Responsibilities
* Lead the development and implementation of automation tools supporting GSF operational requirements.
* Develop and scale GenAI initiatives that improve productivity, decision-making, and operational workflows.
* Translate business and warehouse requirements into practical technical solutions.
* Design data-driven tools that improve operational efficiency and visibility.
* Analyze complex operational datasets to identify bottlenecks, trends, risks, and optimization opportunities.
* Develop predictive models supporting capacity planning, forecasting, and resource decisions.
* Build and maintain ETL pipelines that consolidate data from relevant operational systems.
* Use Python and SQL to automate analysis, reporting, data transformation, and recurring operational processes.
* Create dashboards and reporting systems that provide actionable visibility into key operational metrics.
* Develop data visualizations using platforms such as Tableau or Power BI.
* Partner with warehouse operations teams to identify technology improvements within operational workflows.
* Evaluate existing processes and identify opportunities for automation or technical simplification.
* Apply data science and machine learning techniques where they can improve forecasting, planning, or operational decision-making.
* Manage the full lifecycle of technology implementation projects from requirements through deployment and performance assessment.
* Define program requirements, milestones, schedules, owners, dependencies, and success metrics.
* Work cross-functionally with technical and non-technical teams to coordinate implementation.
* Use data and measurable performance indicators to determine whether process changes are delivering expected improvements.
* Develop structured processes that enable technical solutions to scale across broader operations.
* Apply Agile methodologies to organize project execution and maintain delivery momentum.
* Manage project schedules and track implementation risks, dependencies, and outstanding actions.
* Communicate project progress, results, risks, and recommendations to stakeholders and senior leadership.
* Partner with multiple stakeholder groups at different organizational levels to drive adoption and resolve implementation barriers.
* Support cloud-based technical solutions, with AWS experience particularly relevant.
* Apply advanced Excel capabilities, including Pivot Tables and VLookUps, to operational reporting and analysis.
* Continuously evaluate emerging automation, AI, analytics, and supply chain technologies for practical operational applications.
Ideal Profile
Candidates should hold a bachelor\'s degree in Computer Science, Data Science, Engineering, or a related discipline and have at least three years of relevant experience combining technology, analytics, program delivery, and operational improvement.
Strong Python and SQL capabilities are important for this position. Candidates should also have practical experience with data visualization and reporting tools, ETL development, data science techniques, and process automation.
Experience implementing technology solutions within warehouse, logistics, supply chain, fulfillment, or another operational environment will be particularly valuable.
Applicants should understand how to move from business requirements to technical design and then through implementation, adoption, measurement, and continuous improvement.
At least three years of experience working cross-functionally with both technical and non-technical teams is expected, along with experience using data and metrics to define and implement process improvements.
Advanced Microsoft Excel knowledge, including Pivot Tables and VLookUps, is required.
Candidates with experience driving end-to-end delivery, presenting results to senior leadership, managing multiple stakeholders, building processes, maintaining schedules, and coordinating complex projects will be well suited to the role.
Skills Set
Program Management
Generative AI
GenAI
Automation
Python
SQL
Data science
Machine learning
Predictive modeling
Capacity planning
ETL pipelines
Data engineering
Data visualization
Tableau
Power BI
Amazon Web Services
AWS
Cloud computing
Warehouse management systems
Supply chain technologies
Operational analytics
Process automation
Process optimization
Business requirements analysis
Technical solution design
Operational dashboards
Performance metrics
Advanced Excel
Pivot Tables
VLookUps
Project management
Agile methodologies
Cross-functional collaboration
Stakeholder management
Senior leadership reporting
Forecasting
Data-driven decision making
Technology implementation
Process improvement
Project scheduling
Operational technology
Why Join Us
This opportunity places technology directly inside large-scale Logistics and Supply Chain operations, where automation, artificial intelligence, analytics, and predictive planning can create measurable improvements in daily execution.
The role offers strong exposure to GenAI applications, machine learning, warehouse technology, cloud platforms, operational data, and end-to-end program ownership. It is particularly valuable for professionals who want to build experience at the intersection of technical program management, AI-enabled operations, supply chain technology, and process transformation.
As automation and AI become increasingly important across fulfillment and logistics networks, experience delivering practical technology solutions in this environment can create a strong pathway toward senior technical program management, data and analytics leadership, operations technology, or supply chain transformation roles.
About the Company
Amazon is a global technology and e-commerce company operating extensive fulfillment, transportation, cloud computing, and logistics networks. Its operations teams use software, automation, analytics, artificial intelligence, and scalable technology platforms to improve productivity, planning, customer experience, and the efficiency of complex supply chain operations.
