EY Manager - Financial Services Data & Analytics Management Strategy 

United States, New York, New York 

278508807

Your key responsibilities

You’ll spend most of your time managing client engagement teams, working with a wide variety of clients to deliver professional services, and managing business development activities on strategic and global priority accounts.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Leading and coaching diverse teams of professionals with different backgrounds
• Providing subject matter expertise in defining technical and business approaches
• Building strong relationships with the clients and cultivating business opportunities
• Initiating and building thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path
• Ability to meet deadlines and manage project delivery
• Superior communication and interpersonal skills
• Develop strategies to solve problems logically using creative methods
• Propose and drive new technologies to enhance or replace existing business processes
• Evaluate and test various alternative approaches and recommend the best path forward
• Manage cross functional teams, to ensure project task and timeline accountability
• Experience with data management, architecture, analysis and visualization
• Ability to engage and influence large teams and functional leaders

To qualify for the role, you must have

• Undergraduate or Master’s degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics)

• Minimum of 5 years’ experience in banking, capital markets, insurance or asset management providing complex consultative services in the following focus areas: information strategy, data architecture, information/data governance, master data management, data quality, data integration, metadata management, privacy and security, records management, data risk and controls.

• Superior communication (verbal and written) and presentation skills 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 presenting analytical conclusions to senior officials in a company and other stakeholders
• Superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, effectively advocate technical solutions and results to technology and business audiences
• Proven application of advanced analytical and statistical methods in the financial services space
• Experience working independently, efficiently and effectively under extreme time constraints and delivering results by critical deadlines
• Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
• Demonstrated senior-level leadership (thought leadership or people leadership e.g. managed project teams or direct reports) in engaging with C-level executives and technical clients
• Practical experience in leading and managing teams through a product life cycle – requirements, design, development and testing
• Practical experience using latest technologies for data ingestion, storage, mining/warehousing, big data analytics, manipulation, and visualization
• Practical experience and familiarity with some of the following tools and technologies:
• SAS, R, Python, SPSS, MapR, Flume, Hue, Impala, predictive analytics, Tableau, Spotfire, and Java

• Working knowledge of the modernized information management tool landscape (e.g., Talend, Collibra, Oracle DRM, SAP MDM, Informatica, SQL, Alation, Purview).

• Meaningful experience in multiple database technologies such as:
• Distributed Processing (Spark, Hadoop, EMR)
• Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)
• MPP (AWS Redshift, Teradata),
• NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
• Cloud Platforms (AWS, Azure, Google Platform, Databricks, Snowflake)
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Ability to quantify improvement in business areas resulting from optimization techniques through use of business analytics and/or statistical modeling
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• Project management and process development expertise in client serving roles
• Strong analytical and problem-solving skills
• Strong organizational and time-management skills
• Ability to understand business challenges and translate them into analytics solutions
• Excellent leadership and teaming skills
• A willingness and ability to travel to meet client needs; travel is estimated at 80%-90%
• Valid US passport

Ideally, you’ll also have

• Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, IT or Engineering preferred
• Prior consulting experience
• Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support.
• Experience working independently, efficiently and effectively under extreme time constraints and delivering results by critical deadlines
• Experience quantifying results to the business, from the front line to senior executives
• Experience with designing, developing, or implementing AI or other automation solutions
• Experience with interpreting and adhering to US and international data related regulatory requirements
• Experience with identifying, managing, and controlling data risk

What we offer you