Job description

**Overview:** EY is seeking a Senior Manager, Data Analytic Solutions - Financial Services Office to join our team. As a senior leader, you will be responsible for leading and directing teams of professionals with diverse skills and backgrounds, providing constructive on-the-job feedback and coaching to team members. You will also develop and maintain long-term client relationships and networks, manage risk in the delivery of quality client services, and generate and manage new business opportunities. **Responsibilities:** • Lead and direct teams of professionals with diverse skills and backgrounds • Develop and maintain long-term client relationships and networks • Manage risk in the delivery of quality client services • Generate and manage new business opportunities • Understand business challenges and address remediations through data architecture and engineering solutions • Work with clients to transform the way they use and manage data by architecting modern data platforms, data products, and data marketplaces • Define data and analytic strategies by performing assessments, recommending remediation strategies/solutions, and designing/implementing future state data and analytics solutions • *Qualifications:** • Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 8 years of related work experience (of which 5 years must be progressive, post-baccalaureate) or 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 one or a combination of the following: banking, capital markets, insurance, and/or wealth and asset management industry • 5 years of experience assisting clients with one or a combination of the following: strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture • 5 years of experience with one or a combination of the following: 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 one or a combination of the following: Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases • 5 years of combined experience in at least 2 of the following: • Traditional RDBMS (MS SQL Server, Oracle, MySQL or PostgreSQL) • MPP (Redshift, Synapse, Teradata, Vertica or Netezza) • NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan or Elasticsearch) • Streaming Platform and Applications (Spark streaming, Kafka, Confluent or Storm) • DevOps (Github, Kubernetes Jenkins or Terraform) • Data Modeling (Data Vault, Star, Snowflake, or Canonical) • *Benefits:** • Comprehensive compensation and benefits package • Base salary of $252,960 per year • Medical and dental coverage • Pension and 401(k) plans • Wide range of paid time off options, including vacation time, holidays, and personal/family care • Continuous learning opportunities • Success as defined by you • Transformative leadership • Diverse and inclusive culture

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