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 native Amazon Web Services (AWS) tools
- 1+ years experience leading, managing and delivering complex technology engagements 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
- Hands-on experience with SQL, Spark, Python and Java highly preferred
- Experience with Amazon Web Services (AWS) to include:
- Amazon Kinesis
- Amazon S3
- Amazon EMR
- Amazon Redshift
- Amazon DynamoDB
- Amazon Glue
- Hands-on experience in SQL with Redshift and Snowflake
- Programming experience with Unix/Shell scripting
- Experience with Amazon Lambda
- Experience with Amazon Athena
- Cloud infrastructure management experience with Data & Analytics tools and services
- AWS Certifications
- Experience with other leading commercial Cloud platforms, including Azure and Google
- Experience with unstructured data
- Hands-on experience with Orchestration tools like Airflow or Step function
- Knowledge of Mesh Architecture
- 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
- 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
- An advanced degree in the area of specialization is preferred