Data Architecture & Engineering - Manager - Financial Services - Consulting - NYC

EY•Charlotte, NC

12d•$150,700 - $261,600•Hybrid

About The Position

EY is seeking a Manager for their Financial Services - Data and Analytics - Data Architecture and Engineering team. This role is within EY's Financial Services Office (FSO), a dedicated business unit for the financial services industry. The team focuses on Data Products Management (DPM), Data Architecture and Engineering (DAE), Data Governance and Controls (DGC), and Analytics and Insights (A&I). The position offers opportunities for professional growth, developing innovative data techniques, building a professional network, and tackling complex data issues with industry-leading clients. The role involves supporting both business and technology leaders in financial institutions that are looking to leverage data for smarter and more efficient operations.

Requirements

Undergraduate or master's degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics).
Around 6 or more years of related work experience in banking, capital markets, insurance, or asset management space.
Good communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations.
Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines.
Strong analytical and problem-solving skills.
Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client-ready deliverables.
Prior experience in project management and client serving roles.
Excellent leadership and teaming skills.
Strong organizational and time-management skills.
Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn.
A willingness and ability to travel to meet client needs; travel is estimated at 60%.
Valid passport.
Practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Big Data initiatives and Event-driven architecture, preferably focused in financial services.
Experience architecting and designing large data platforms, data warehouses, streaming applications, data ingestion, integration, and distribution pipelines.
Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and manipulation.
Deep understanding of traditional data architecture practices (MDM, ODS, data warehousing, etc.) as well transition to Next-Gen platforms such as Hadoop, Cloud, distributed ledgers, etc.
Practitioner experience in multiple data technologies such as: Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake), Big Data applications and Distributed Processing (Hadoop ecosystem components), Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, Netezza), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch), Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.), Dev Ops (Github, Kubernetes Jenkins, Terraform), Data Modeling (Datavault, Star, Snowflake).

Nice To Haves

Master’s degree in Business Administration (MBA) or Science (MS) preferred.
Prior consulting experience.

Responsibilities

Deliver a wide range of data and analytics services as part of diverse, cross-geography teams.
Solve complex issues and drive growth across the financial services sector.
Foster an innovative and inclusive team-oriented work environment.
Lead and coach diverse teams of professionals with different backgrounds.
Provide subject matter expertise in defining technical and business approaches.
Build strong relationships with clients and cultivate business opportunities.
Initiate and build thought leadership through white papers, point of views, and proof of concepts.
Work in an entrepreneurial environment to pave your own career path.
Understand business challenges and address remediations through data architecture and engineering solutions.
Assist clients with strategic Data Architecture and Engineering, Cloud Data Modernization, Big Data initiatives, and Event-driven architecture, preferably focused in financial services.
Architect and design large data platforms, data warehouses, streaming applications, data ingestion, integration, and distribution pipelines.
Utilize latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and manipulation.
Apply deep understanding of traditional data architecture practices (MDM, ODS, data warehousing, etc.) and transition to Next-Gen platforms such as Hadoop, Cloud, distributed ledgers, etc.