Top Senior Level Data & Analytics Jobs in Phoenix, AZ

The Data Engineering Manager will lead a team of data engineers to develop and maintain optimal data pipeline architecture, build data systems for ML and AI models, and work cross-functionally with data scientists. Responsibilities include managing daily operations, extracting and processing client data, and creating the infrastructure for data extraction and loading using SQL and AWS technologies.

The Compensation Analyst will participate in compensation surveys, analyze market data, maintain compensation databases, develop compensation models, and collaborate with recruiters and People Operations to guide compensation decisions and administer compensation policies. Strong analytical and communication skills are essential, along with extensive experience in compensation practices.

As a Senior Data Scientist, you will analyze healthcare data, develop data-driven solutions, and support product teams. Your role includes defining project requirements, performing data exploration, and creating analytic deliverables that drive business decisions. You will collaborate with cross-functional teams to analyze various data sources and visualize findings to propose actionable strategies.

The Microsoft Solutions Architect is responsible for client-facing pre-sales consultancy, developing technical proposals for Data & Analytics solutions that match client requirements, and ensuring successful delivery while maximizing profit for CDW. This role includes creating design documents, engaging in account prioritization strategies, and building strong relationships with partners and clients.

The Big Data DevOps Lead will enhance Big Data infrastructure efficiency, coordinate inter-team initiatives, and lead architecture efforts. Responsibilities include maintaining system reliability, deploying monitoring tools, and implementing disaster recovery practices. On-call support for production systems is also required.

The Senior Data Scientist will drive innovative AI/ML capabilities and build data products for customer insights. Responsibilities include refining the product roadmap, analyzing member mental health journey data, and providing leadership in storytelling through data. The role requires close collaboration with customers and internal teams.

As an AI Scientist, you will develop and implement deep learning methods for chemistry, contributing to drug discovery efforts. You will work collaboratively with experts in AI, biology, and chemistry, while driving innovative research and advancing state-of-the-art AI models for molecular modeling.