Senior Vice President, Head of Product Analytics, Data & Voice of Client

at  BNY Mellon

New York, New York, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate22 Jan, 2025USD 221000 Annual22 Oct, 202412 year(s) or aboveBusiness Operations,Communication Skills,Sustainability,Venture Capital,Research,Attribution,User Behavior,Sql,Automation,Data Science,Strategy,Processing,AnalyticsNoNo
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Description:

Overview
Head of Product Analytics, Data & Voice of Client
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 #LifeAtBNY is all about.
We’re seeking for a future team member for the role of Head of Product Analytics, Data & Voice of the Client for BNY Pershing’s Product Management and Platforms. This role can be in Jersey City, Pittsburgh or Lake Mary, - HYBRID.
This role serves as a keystone for Product Data Management & Quantitative Analysis and interfaces regularly with senior leadership regularly. In this position you will partner with other departments and branches to assist in building and implementing business processes and tools that help us make sense of our data and analytics from our clients and products. You will also be working with data experimentation and design, client insights and product development.
You will be responsible for developing and implementing effective strategies for product and technology solutions reporting by compiling and synthesizing raw data (e.g., securities, pricing, reference, or other asset class/type data), internal operational data (e.g., client information, KPIs, etc.) and client reference data and perform preliminary calculations for both internal and external clients to be used for more advanced quantitative analysis or reporting.
This role works closely with Product Managers, Product Owners, Operations, Service, and Engineering.
We are looking for someone who has…
Exceptional skills in problem framing, strategic thinking and communication demonstrating an ability to convey insights effectively to diverse stakeholders
A comprehensive technical background encompassing in production data products experimentation advanced metrics and modeling including proficiency and machine learning
Proven capability to transform conceptual ideas into operational prototypes and drive them to production with a discerning judgment to balance long term impact and short-term goals
Proficiency in data slash software engineering guiding the vision for tooling and automation a track record of leading data science and engineering teams ensuring the successful launch and adoption of consumer facing algorithm-oriented product experiences
Outstanding communication skills to influence teams and stakeholders at a strategic level
Ability to navigate seamlessly between client slash business management and technical product management

YOUR EXPERIENCE SHOULD INCLUDE:

12+ years of relevant work experience in business operations, insights, analytics, or strategy with deep exposure to data science, preferably in a rigorous analytical role such as consulting, banking, or venture capital
Experience with SQL, the Python ML ecosystem, and Algorithm-oriented User Interfaces.
Clear understanding of prediction models, marketing channel mix, attribution, user behavior, website performance, etc.
Proficiency in ingesting, processing, and visualizing large, complex data sets - structured/relational and unstructured.
Fluency in data/software engineering skills to guide the vision for tooling/automation.
Ability to influence cross-functionally, lead effectively, think creatively, and translate research into insights by illustrating their value.
Excellent written and verbal communication skills, with the ability to tell a compelling story combining data with qualitative insights tailored to any audience.
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

EMPLOYER DESCRIPTION:

For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments and safeguards nearly one-fifth of the world’s financial assets. BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets. It’s the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.

Responsibilities:

Manage a team of data management and/or quantitative analysis professionals who prepare data sets and conduct statistical, financial and econometric modeling for internal and external clients.
Conduct in-depth analysis of business trends and challenges, addressing the complexities of a multi-sided marketplace through data-driven problem-solving and cross-functional solution implementation.
Align UI and Algorithmic innovations to identify and execute high-value opportunities, ensuring a harmonized and concerted effort.
Lead the implementation of product analytics initiatives, establishing analytical frameworks and measurement capabilities to generate data-driven insights for business growth.
Drive forward-looking research to gain cohesive insights into client behavior and use of our products and platforms, contributing concretely to the product roadmap.
Oversee the implementation of new data related technology enhancements / implementations. Ensures staff and more junior managers’ compliance with the Bank’s standards and best practices.
Facilitate the analysis of client and business needs and manage related documentation. Guides the team’s production of management reporting and analyses.
Ensures business requirements for data and reporting are executed as expected.
Establish operating procedures for assigned units and ensure that the procedures align with the goals and objectives for the area.


REQUIREMENT SUMMARY

Min:12.0Max:17.0 year(s)

Financial Services

Analytics & Business Intelligence

Finance

Graduate

Proficient

1

New York, NY, USA