Lead strategic transformation and process excellence initiatives across global operations, integrating Lean Six Sigma, AI-driven insights, and automation to optimize service models and deliver business impact.
Responsibilities
Design and deliver long-term future-state operating models
Spearhead customer experience agenda and service model development
Conduct data mining and Lean Six Sigma analyses to reduce process variation
Design resilience frameworks for operational risk mitigation
Benchmark industry standards and align internal workflows
Requirements
Bachelor’s degree or equivalent practical experience
Serve as a GeoSpatial Developer specializing in Java to design, build and optimize spatially aware applications that run on cloud native platforms.
Responsibilities
Design and develop scalable geospatial applications using Java to process complex spatial datasets and deliver accurate location based insights for business users.
Implement efficient spatial data models and indexing strategies to optimize query performance and response times for high volume geospatial workloads.
Build and integrate AWS based services including compute storage and data pipelines to enable robust cloud native processing of geospatial and tabular data.
Create and maintain data ingestion and transformation workflows that move geospatial and related data into Snowflake for analytics and reporting use cases.
Develop reusable services and interfaces that connect core applications with GenAI and LLM platforms to enable intelligent querying, summarization and recommendation on spatial datasets.
The AI Solutions Architect is a senior hybrid business-and-technology role responsible for identifying, designing, governing and scaling AI-enabled solutions across the enterprise.
Compensation
The anticipated salary range for this position is $180,000 USD Annual with potential 15% annual bonus.
Responsibilities
Turn Claude Enterprise and related AI capabilities into measurable business outcomes
Create a governed intake-to-delivery path for AI use cases across business functions
Translate business opportunities into practical AI designs that technical teams can implement safely
Ensure AI solutions have proper access controls, security review, data governance, operational readiness and responsible AI oversight
Scale repeatable AI patterns across Supply Chain, Procurement, Operations, Finance, Sales, Customer Service and IT
Requirements
Masters Degree or PHD in Computer Engineering/Data Science
Lead AI transformation across engineering and SaaS operations, driving adoption of AI-enabled practices to improve productivity, quality, and operational resilience.
Compensation
Salary Range: $170,000 - $282,500 Annual
Responsibilities
Accelerate feature delivery and engineering throughput through AI-assisted development and automation
Improve product quality through AI-enabled testing, validation, and quality engineering practices
Transform SaaS operations through intelligent automation, proactive monitoring, and AI-assisted support workflows
Establish measurable roadmap for AI adoption across the software delivery lifecycle
Enable workforce evolution through new skills, roles, and operating models
Requirements
Bachelor's degree in Computer Science, Engineering, or a related technical field
Lead end‑to‑end GenAI, analytics, and automation solutions for Amazon’s data center procurement organization, driving technical depth, quality, and adoption across global teams.
Responsibilities
Translate business processes into solutions and re‑engineer workflows
Design, build, and iterate GenAI, analytics, and automation solutions
Build analytics dashboards and reporting mechanisms
Design and maintain data foundations for trustworthy insights
The base salary range for this role is $108,00 - $117,500. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years.
Responsibilities
Formulate relevant research and analytical approaches for pricing, GTM, M&A, and operational excellence in Enterprise Software/SaaS sector
Communicate with case teams and clients in a credible and confident manner
Collaborate virtually in agile ways of working
Support commercialization efforts through analysis, insights, proposals, workshops, and marketing materials
Develop intellectual property and assets for the business
GeoSpatial Developer JavaCognizant
Senior AnalystBoston Consulting Group · San Francisco, US+5 more
Technical Program Manager - Analytics & GenAI, Data Center Procurement Governance (DCPG)Amazon · Singapore, Singapore
Senior Manager, Insurance AI Engineer (Forward Deployed Engineer)Deloitte · London, United Kingdom