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The Team

AI & Data Engineering

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data Engineering (AI&DE) team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

AI&DE will work with our clients to:

• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions

• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications

Required:

• 6+ years experience with relevant technology consulting experience to include, enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management

• 3+ years of relevant technology architecture consulting or industry experience with ability to contribute to an end-to-end Architecture and Solution overview using Microsoft Azure tools

• 1+ years experience leading, managing and delivering complex technology engagements end-to-end with resources in multiple locations

• Bachelor's Degree or equivalent professional experience

• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve

• Limited immigration sponsorship may be available

Preferred:

• Experience with Snowflake cloud data warehouse highly preferred

• Experience with Databricks highly preferred

• Experience with Azure Synapse Analytics/SQL DW highly preferred

• Experience with ADLS Gen2 highly preferred

• Hands-on experience in SQL, Spark and Python highly preferred

• Experience with MS Azure to include:

• Stream/Stream Analytics

• SQL Server on Azure

• SQL Server Analysis Services (SSAS)

• Azure Resource Manager (ARM) templates

• Familiarity with Azure PaaS service offerings

• MS Azure Certifications

• Experience with other leading commercial Cloud platforms, including GCP and AWS

• Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects

• Presentation skills with a high degree of comfort with both large and small audiences

• Demonstrated experience driving both the sales cycle by taking the lead in framing out client opportunities and leading the pursuit team to create the proposal content for client discussions

• Demonstrated experience with management and delivery of multiple strategic engagements for large global organization

  AI&DE23

  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.