EY Data Architecture & Engineering - Senior Manager 

United States, Massachusetts, Boston 

201139586

Your key responsibilities

You will be leading diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

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

• Working across and influencing different stakeholders within the client organization, cultivating, and executing on business opportunities

• Building strong relationships with the clients including engaging with C-level executives and technical clients

• 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

• Propose and drive new technologies to enhance or replace existing business processes

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 9 years’ experience in banking, capital markets, insurance, or asset management domain with at least 3 years of experience managing a team

• Superior 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

• Demonstrate exploration of new techniques outside of day-to-day job duties

• Experience presenting technical conclusions to senior officials in a company and other stakeholders

• 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

• Project management and process development expertise in 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

DAE Specific

• Ability to understand business challenges and address remediations through data architecture and engineering solutions.

• Must have practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.

• Experience architecting and designing large data platforms, data warehouses and data lakes, 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 visualization.

• Deep understanding of traditional data architecture practices (data warehousing, datahub, MDM, ODS etc.) as well transition to Next-Gen platform architectures such as distributed data lake and Data mesh on cloud, 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 and Spark ecosystem components)

• Data integration Tools (Informatica, Talend, etc.)

• Experience with scripting languages: Python, Java, C++, Scala, etc.

• Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL)

• MPP (Snowflake, BigQuery, AWS Redshift etc.)

• NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch)

• Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.)

• Experience with data pipeline and workflow management tools (Airflow, etc.)

• Dev Ops (GitHub, Kubernetes Jenkins, Terraform)

• Data Modeling (Data vault, Star, Snowflake)

Ideally, you’ll also have

• Master’s degree in business administration (MBA) or Science (MS) preferred

• Prior consulting experience

• Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support.

• Oral presentation skills, with the ability to lead meetings & hold workshops with executives

• Experience quantifying results to the business, from the front line to senior executives

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.