Job Description

DESCRIPTION

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We're seeking a senior technical analytics leader to drive the development of an intelligent decision-making platform that will transform how Amazon makes operational decisions. This role will architect analytical frameworks that evolve static rules into dynamic, context-aware decisions at scale. The role requires sophisticated technical judgment to design generalized analytical patterns that work across diverse tenant needs while maintaining precision and performance.



Key job responsibilities

Technical Architecture & Development (60%):



Architect analytical frameworks that enable pattern detection and sharing across diverse decision types

Design generalized analytical models that maintain tenant-specific context while enabling cross-tenant pattern learning

Develop scalable validation frameworks for complex multi-tenant pattern detection processing millions of decisions daily

Create analytical approaches for real-time context processing that adapt to changing business conditions

Design methods for automated pattern discovery and validation across decision domains

Build platform-level analytical capabilities that scale across tenant needs



Technical Objectives:



Define foundational analytical patterns for intelligent decision-making at scale

Develop novel approaches for context-aware pattern detection using advanced AI/ML models, that work across tenant boundaries


Create analytical frameworks that enable pattern sharing while maintaining tenant isolation

Design validation approaches that scale across diverse decision types

Establish platform-level analytical standards and governance

Manage technical dependencies across multiple engineering and science teams

Success Metrics:

Pattern detection effectiveness across diverse tenant needs

Real-time processing capabilities at scale

Cross-tenant pattern sharing effectiveness

Platform-level analytical performance

Tenant adoption and expansion metrics



Technical Requirements:

Machine Learning & AI:

Expert knowledge of machine learning models and frameworks

Proficiency with Large Language Models

Strong background in clustering algorithms

Deep expertise in designing generalized ML/LLM frameworks that scale

Experience creating novel pattern detection approaches

Strong background in multi-tenant analytical systems

Proven track record of pioneering new analytical methods



Data Engineering:

Experience with large-scale data pipelines

Distributed computing systems expertise

Data validation frameworks

Experience with complex multi-tenant data architectures

Expertise in real-time analytical processing at scale

Strong background in platform-level data modeling

Track record of building generalized analytical frameworks



System Architecture:

Modular architecture design

Microservices architecture

API design and development

Performance optimization

Scalable system design

Leadership & Collaboration:

Technical project leadership

Cross-team collaboration

Architecture governance

Technical documentation

Mentoring and guidance



A day in the life

Lead architectural decisions for ML systems and data pipelines

Review and optimize model performance metrics

Analyze system health and scalability metrics

Develop technical specifications and proof of concepts

Debug complex production issues

Evaluate and approve architecture changes

Lead analytical decisions for ML/LLM systems

Review and optimize pattern detection metrics

Analyze system performance and scalability

Develop analytical specifications

Debug complex pattern detection issues

Evaluate and approve analytical approaches

Design solutions for improving decision accuracy



Leadership & Collaboration:

Lead technical design reviews and architecture syncs

Mentor team members on ML best practices

Collaborate with data scientists on model improvements

Align with cross-functional teams on technical dependencies

Guide implementation strategies across multiple teams

Review and approve technical proposals

Provide architectural guidance for scaling solutions

Strategic Focus:

Drive improvements in model accuracy and system performance

Define technical standards and best practices

Balance immediate technical needs with long-term architecture

Evaluate new ML technologies and approaches

Guide innovation in automated trend detection

Ensure system reliability and scalability

Monitor and improve key performance metrics

Regular Interactions:

ML Engineers and Data Scientists

Product and Platform teams

Infrastructure teams

Business Intelligence teams

Senior technical leadership

This role combines hands-on technical expertise in ML/AI with strategic architectural leadership, requiring both deep technical knowledge and strong collaboration skills. The focus is on driving technical excellence while ensuring successful delivery of large-scale ML solutions that impact business metrics.



About the team

The DecisionIQ team within RBS is transforming how Amazon makes operational decisions. We're building a platform that evolves static rules into intelligent, context-aware capabilities through advanced pattern detection and ML/LLM approaches. Our multi-disciplinary team combines analytics, science, and engineering expertise to solve complex challenges in real-time decision processing and pattern sharing across diverse tenants. Working closely with multiple business domains across Amazon SDO and AWS organizations, we're driving Amazon's next phase of efficiency gains through intelligent automation. As part of RBS's Growth organization, we operate at the intersection of technical innovation and business impact.

BASIC QUALIFICATIONS

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Experience with AWS technologies 8+ years of software development experience 6+ years of machine learning, statistical modeling, data mining, and analytics techniques experience Experience with large distributed IT systems Experience using data and metrics to drive improvements Bachelor's degree or equivalent 3+ years leading complex technical projects

PREFERRED QUALIFICATIONS

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Master's degree in statistics, data science, or an equivalent quantitative field Experience in online retail Experience designing large-scale systems and applications Previous experience with visual similarity algorithms


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