Technical Program Manager - Automation and GenAI

Amazon UAE; Dubai; On-site; AED 246,000 - 379,000; Full time

Job summary

Amazon UAE seeks a Technical Program Manager - Automation and GenAI to drive data-driven automation across Dubai fulfillment operations. You will lead initiatives combining software, analytics, and program management to improve planning, execution, and visibility.

The role focuses on GenAI, data engineering, ML, dashboards, and warehouse technology, delivering scalable solutions and end-to-end project ownership from requirements to adoption and measurement.

Qualifications

• Bachelor’s degree in CS, Data Science, Engineering or related field.
• At least 3 years in technology, data, operations, or technical program delivery.
• Strong Python and SQL; experience with data visualization and ETL development.

Responsibilities

• Lead automation and GenAI initiatives to improve productivity and decision-making.
• Design data-driven tools and dashboards for operational visibility.
• Translate business needs into scalable technical solutions.
• Manage end-to-end delivery of technology projects from requirements to deployment and measurement.
• Collaborate with cross-functional teams and stakeholders, including senior leadership.

Skills

Program Management

GenAI

Automation

Python

SQL

Data visualization

Tableau

Power BI

AWS

Data engineering

Machine learning

Forecasting

ETL pipelines

Agile

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Data Science, Engineering

Tools

Tableau

Power BI

AWS

Job description

Technical Program Manager - Automation and GenAI

Job Snapshot

Technical Program Manager - Automation and GenAI Job 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.

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.