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채용BNY Mellon

Senior Vice President, Client Implementations Manager

BNY Mellon

Senior Vice President, Client Implementations Manager

BNY Mellon

Everett, MA, United States; Pittsburgh, PA, United States

·

On-site

·

Full-time

·

2w ago

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #Life AtBNY is all about.

We’re seeking a future team member for the role of Senior Vice President, Client Implementations Manager t o join our Fund Services Team. This role is in Everette, MA work schedule.

In this role, you will make an impact in the following ways:

The successful candidate will combine deep technical knowledge of data systems with strategic client-facing experience to design scalable solutions that meet complex internal and external data demands.

  • Oversee design and rollout of client-facing reports, dashboards, and performance analytics aligned with SLAs and regulatory expectations.
  • Responsible for product management of complex data and reporting projects and programs for new business and existing business.
  • Collaborates with internal Key Partners and clients to facilitate the data delivery strategy tailored to client specific requirements, including custom data transformation.
  • Strong expertise in data hydration, warehousing, transformation, and cloud-native data architecture
  • Work with technology and architecture teams to ensure integration strategies align with internal APIs, data lakes, and cloud-based platforms (AWS, Azure, GCP).
  • Continuously grow and develop skills across AI/ML and GenAI and increase business acumen
  • Support client onboarding, vendor integrations, and managed service engagements by providing technical specifications and solution architecture for data flows.
  • Technical proficiency in tools such as SQL, Python, ETL platforms, API gateways, Snowflake, Databricks, and metadata management platforms.
  • Ensure adherence to data governance, lineage, and data quality standards across delivery ecosystems

To be successful in this role, we’re seeking the following:

  • Bachelor’s degree or the equivalent

  • Advanced/graduate degree preferred

  • 10 -12+ years of total work experience preferred

  • Experience in data delivery, integration, or client solutions in a technology or financial services environment

  • Track record of delivering complex data reporting and integration projects across global clients or business units

At BNY, our culture speaks for itself. Here’s a few of our awards:

  • America’s Most Innovative Companies, Fortune, 2024

  • World’s Most Admired Companies, Fortune 2024

  • Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024

  • Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024

  • “Most Just Companies”, Just Capital and CNBC, 2024

  • Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024

  • Bloomberg’s Gender Equality Index (GEI), 2023

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $102,000 and $228,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

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BNY Mellon 소개

BNY Mellon

BNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.

10,001+

직원 수

New York City

본사 위치

$40B

기업 가치

리뷰

4.0

31개 리뷰

워라밸

3.4

보상

4.8

문화

3.9

커리어

4.1

경영진

3.5

78%

친구에게 추천

장점

Prestigious brand and networking opportunities

Excellent compensation and bonus structure

Exposure to complex financial systems

단점

Work-life balance can be difficult

Legacy technology in some areas

High-pressure environment with strict deadlines

연봉 정보

28개 데이터

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Junior/L3 · Associate Client Reporting Performance I

1개 리포트

$70,635

총 연봉

기본급

$61,422

주식

-

보너스

-

$70,635

$70,635

면접 경험

8개 면접

난이도

3.0

/ 5

소요 기간

21-35주

경험

긍정 0%

보통 75%

부정 25%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

HR/Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Final Round/Superday

자주 나오는 질문

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit