Amazon

SME Program Manager Automation , Quick Commerce

Dubai, UAEPosted 2 months ago

Apply link checked yesterday

Salary
AED 9k–12k a month· est.
Job type
Full time
Level
Lead
Field
Operations & Logistics
Work mode
On site

About the role

Lead the development and implementation of automation tools and GenAI initiatives to optimize GSF operations Design and deploy data-driven solutions to improve operational efficiency Analyze complex datasets to identify optimization opportunities and develop predictive models for capacity planning Create and maintain dashboards and reporting systems for operational metrics Collaborate with stakeholders to implement technical solutions for warehouse management Drive process improvements through technical innovation and data analysis Manage end-to-end project lifecycle for technology implementations Technical Skills Required: Strong proficiency in Python programming and SQL Experience with data science and machine learning techniques Ability to develop and maintain ETL pipelines Expertise in data visualization tools (Tableau, Power BI, etc.) Understanding of warehouse management systems and supply chain technologies Experience with cloud computing platforms (AWS preferred) Ability to translate business requirements into technical solutions Strong analytical and problem-solving skills Experience in process optimization and automation Qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, or related field 3+ years of relevant experience in technology and operations Proven track record of implementing technical solutions in operations environment Experience with agile methodologies and project management Strong communication and stakeholder management skills Basic qualifications - 3+ years of data visualization and reports tools experience - 3+ years of working cross functionally with tech and non-tech teams experience - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - Bachelor's degree - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience defining program requirements and using data and metrics to determine improvements Preferred qualifications - 3+ years of driving end to end delivery, and communicating results to senior leadership experience - 3+ years of driving process improvements experience - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience building processes, project management, and schedules 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.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field
  • 3+ years of relevant experience in technology and operations
  • Proven track record of implementing technical solutions in operations environment
  • Experience with agile methodologies and project management
  • Strong communication and stakeholder management skills
  • Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
  • Experience defining program requirements and using data and metrics to determine improvements

Responsibilities

  • Lead the development and implementation of automation tools and GenAI initiatives to optimize GSF operations
  • Design and deploy data-driven solutions to improve operational efficiency
  • Analyze complex datasets to identify optimization opportunities and develop predictive models for capacity planning
  • Create and maintain dashboards and reporting systems for operational metrics
  • Collaborate with stakeholders to implement technical solutions for warehouse management
  • Drive process improvements through technical innovation and data analysis
  • Manage end-to-end project lifecycle for technology implementations

Skills

  • Python
  • SQL
  • ETL pipelines
  • data visualization (Tableau, Power BI)
  • machine learning
  • warehouse management systems
  • cloud computing (AWS)
  • data analysis
  • operational analytics
  • GenAI initiatives
  • capacity planning
  • Dashboards and reporting
  • agile methodologies
  • stakeholder management
  • project management

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