work with clients to transform the way they use and manage data by architecting data strategies, providing end-to-end solutions that focus on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence by harnessing latest advanced technologies
solve complex issues and drive growth across financial services
define data and analytic strategies by performing assessments, recommending remediation strategies/solutions based on aggregated view of identified gaps, and designing/implementing future state data and analytics solutions
manage and coach diverse teams of professionals with different backgrounds
manage cross functional teams, to ensure project task and timeline accountability
propose and drive new technologies to enhance or replace existing business processes
initiate and build thought leadership through white papers, point of views, and proof of concepts
develop strategies to solve problems logically using creative methods
engage and influence large teams and functional leaders
manage and motivate teams with diverse skills and backgrounds
consistently deliver quality client services by monitoring progress
demonstrate in-depth technical capabilities and professional knowledge
maintain long-term client relationships and networks
cultivate business development opportunities

Requirements

Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 5 years of progressive, post-baccalaureate related work experience
Master’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 4 years of related work experience
4 years of experience in the banking, capital markets, insurance or asset management industry
3 years of experience in at least 1 of the following: - Distributed Processing (Spark, Hadoop, or EMR); - Traditional RDBMS (MS SQL Server, Oracle, MySQL, or PostgreSQL); - MPP (AWS Redshift, or Teradata); - NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, or Titan); - Cloud Platforms (AWS, Azure, Google Platform, or Databricks); - Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID)
3 years of experience using technologies, frameworks or methodologies for data ingestion, storage, mining or warehousing, big data analytics, manipulation, or visualization
3 years of experience in managing teams through a product and/or project management life cycle including requirements, design, development and testing
3 years of experience quantifying improvement in business areas resulting from optimization techniques through use of business analytics and/or statistical modeling
Requires domestic and regional travel up to 60% to meet client needs.

Benefits

medical and dental coverage
pension and 401(k) plans
a wide range of paid time off options
flexible vacation policy
time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data strategiesdata supply chaindata analyticsdistributed processingRDBMSNoSQLcloud platformsdata governancebig data analyticsstatistical modeling

Soft Skills

problem solvingteam managementcoachinginfluencingclient relationship managementbusiness developmentthought leadershipcommunicationcreativityproject accountability