Understand business challenges and address remediations through data architecture and engineering solutions
Work with clients to transform their data management
Architect data platforms, products, and marketplaces
Define data and analytic strategies based on assessments and recommendations
Manage and coach diverse teams of professionals
Propose new technologies to enhance business processes
Develop strategies to solve problems using creative methods
Engage with large teams and functional leaders
Develop long-term client relationships and networks
Generate and manage business opportunities

Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 8 years of related work experience
Alternatively, Master’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 7 years of related work experience
6 years of experience in the banking, capital markets, insurance, and/or wealth and asset management industry
5 years of experience in strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives or Event-driven Architecture
5 years of experience with traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing
5 years of experience with Next-Gen platforms including AWS, GCP, Azure, Snowflake, DataBricks, and/or distributed databases
5 years of experience architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines
5 years of combined experience in at least 2 of the following: RDBMS, MPP, NoSQL, Streaming Platforms, DevOps, Data Modeling
Domestic and regional travel up to 60%

Senior Manager, Data Analytics

Key skills