Data Architecture & Engineering - Senior Manager - Financial Services - Consulting - NYC, Charlotte

EY•Charlotte, NC

179d•$172,800 - $374,000•Hybrid

About The Position

EY is hiring a Senior Manager for its Financial Services Organization (FSO), focused on Data Architecture and Engineering. EY’s FSO serves financial services clients, helping them make better use of data to improve operations and uncover business opportunities. The role supports client engagements involving data architecture, engineering, governance, analytics, and related services. The Senior Manager will work with diverse teams across geographies to deliver data and analytics services, address complex client challenges, and drive growth in financial services. The position involves leading and coaching teams, advising business and technology stakeholders, building executive-level client relationships, developing thought leadership, and identifying technologies that can enhance or replace business processes. DAE work includes data architecture and engineering strategy, cloud data modernization, migrations, event-driven architecture, and the design of large-scale data platforms and pipelines. This is a hybrid, client-serving position. EY expects most external client-serving professionals to work in person 40–60% of the time across an engagement, project, or year. Travel to meet client needs is estimated at 60%.

Requirements

Undergraduate or master’s degree in a quantitative field, such as engineering, computer science, business, economics, finance, statistics, or analytics.
At least 9 years of experience in banking, capital markets, insurance, or asset management, including at least 3 years managing a team.
Strong verbal and written communication skills, including the ability to advocate technical solutions and results to technology and business audiences.
Ability to work independently and effectively under extreme time constraints and deliver by critical deadlines.
Experience exploring new techniques outside day-to-day job duties.
Experience presenting technical conclusions to senior company officials and other stakeholders.
Strong analytical and problem-solving skills.
Client-facing experience such as requirements gathering, facilitating meetings, creating presentations, and preparing client-ready deliverables.
Project management and process development expertise in client-serving roles.
Excellent leadership, teaming, organizational, and time-management skills.
Ability to integrate new knowledge and adapt to change, with curiosity and a desire to learn.
Willingness and ability to travel to meet client needs; estimated travel is 60%.
Valid passport.
Ability to understand business challenges and address them through data architecture and engineering solutions.
Practical experience assisting clients with one or more of data architecture and engineering strategy, cloud data modernization, data migration, or event-driven architecture, preferably in financial services.
Experience with modern data ingestion, integration, transformation, storage, mining or warehousing, big data analytics, and visualization technologies.
Understanding of traditional data architecture practices, including data warehousing, data hubs, MDM, and ODS, and of next-generation cloud platform architectures such as distributed data lakes and data mesh.
Practitioner experience with multiple relevant data technologies, including cloud data platforms; big data and distributed processing; data integration tools; scripting languages; relational databases; MPP platforms; NoSQL systems; streaming platforms; pipeline and workflow management tools; DevOps tools; and data modeling approaches.

Nice To Haves

Master’s degree in business administration (MBA) or science (MS).
Prior consulting experience.
Experience monitoring performance, reporting, and economics of ongoing business-unit initiatives.
Oral presentation skills, including leading meetings and workshops with executives.
Experience quantifying business results from the front line through senior executives.

Responsibilities

Deliver data and analytics services with teams of professionals across different geographies.
Solve complex data issues and drive growth across financial services.
Lead and coach diverse teams of professionals.
Provide subject matter expertise in defining technical and business approaches.
Work across and influence client stakeholders, cultivating and pursuing business opportunities.
Build client relationships, including engagement with C-level executives and technical clients.
Develop thought leadership through white papers, points of view, and proofs of concept.
Propose and drive new technologies to enhance or replace existing business processes.
Understand client business challenges and address them through data architecture and engineering solutions.
Architect and design large data platforms, data warehouses and lakes, streaming applications, and data ingestion, integration, and distribution pipelines.
Assist clients with data architecture and engineering strategy, cloud data modernization, data migration, and event-driven architecture.