Sr Technical Program Manager, Global Procurement Technology

Amazon Amazon · Big Tech · IN, TS, Hyderabad · Project/Program/Product Management--Technical

This role is for a Senior Technical Program Manager within Amazon's Global Procurement Organization, focused on leading the delivery of technical solutions and programs for inventory management of non-inventory supplies. The role involves driving complex, cross-functional programs, collaborating with business and technology teams, participating in architecture discussions leveraging AWS services, and championing the use of AI/ML tools to automate workflows and transform procurement technology. The ideal candidate has experience with AWS, cloud-native architectures, and applying AI/ML to operational problems.

What you'd actually do

  1. Own and drive complex, cross-functional programs that modernize how non-inventory supplies are managed across Amazon's global network of sites.
  2. Collaborate deeply with business partners and technology teams within the Operations business unit to ensure solutions integrate seamlessly with existing software and hardware deployed at Amazon Operations sites worldwide
  3. Actively participate in architecture and design discussions, leveraging a strong understanding of AWS services to drive the right technical decisions and trade-offs
  4. Independently identify and resolve integration challenges across external and internal teams, driving alignment without requiring constant escalation
  5. Champion the use of AI and machine learning tools to automate workflows, surface insights, and transform procurement technology

Skills

Required

  • Experience developing functional and non-functional requirements
  • Writing high-level technical designs
  • Systems integration plans
  • Technical specifications
  • Facilitating business and technical meetings
  • Partnering with resources outside of your immediate team
  • Navigating shifting priorities
  • Scheduling and pivoting project plans
  • Communicating status clearly
  • Resolving risks proactively
  • Removing barriers for engineering teams
  • Leading cross-functional teams
  • Communicating effectively to a large number of stakeholders
  • Hands-on experience with AWS services
  • Cloud-native architectures
  • Holding own in design reviews and technical deep dives
  • Strong grasp of AI and machine learning technologies
  • Applying AI/ML to solve real-world operational problems
  • Operating in ambiguity
  • Bringing structure and clarity
  • Bias for action
  • Customer-obsessed
  • Working backwards from the needs of the business and the end user
  • Define and manage the end-to-end lifecycle of complex, cross-functional technology programs
  • Develop functional and non-functional requirements
  • High-level technical designs
  • Systems integration plans
  • Technical specifications
  • Drive architecture and design discussions
  • Deep knowledge of AWS services
  • Evaluate trade-offs
  • Challenge assumptions
  • Ensure solutions are scalable, secure, AI-driven and operationally sound
  • Lead integration efforts with existing software and hardware systems
  • Independently resolving cross-team technical challenges
  • Driving alignment across organizations
  • Manage program roadmaps, milestones, and dependencies
  • Proactively identify risks
  • Develop mitigation strategies
  • Remove barriers to keep delivery on track
  • Facilitate business and technical meetings
  • Driving crisp decisions
  • Ensuring the right people are in the room
  • Communicate program status, risks, trade-offs, and outcomes
  • Clear written narratives and verbal updates
  • Schedule and pivot project plans
  • Balancing short-term delivery needs against long-term strategic goals
  • Drive process improvements
  • Increase the speed and quality of delivery
  • Streamlining mechanisms
  • Eliminating unnecessary overhead
  • Drive the expansion and scaling of existing products
  • Identifying growth opportunities
  • Building the business case
  • Leading cross-functional execution

What the JD emphasized

  • AI and machine learning tools
  • AI and machine learning technologies
  • AI transformation

Other signals

  • Champion the use of AI and machine learning tools to automate workflows, surface insights, and transform procurement technology
  • strong grasp of AI and machine learning technologies and understand how to apply them to solve real-world operational problems
  • driving its AI transformation by embedding intelligent automation, machine learning, and data-driven capabilities into every layer of the procurement experience