Senior Vice President, Business Intelligence & Data Management

hackajob is collaborating with BNY to connect them with exceptional professionals for this role.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

About BNY Investments:

BNY Investments is a division of BNY, one of the world’s largest and most-trusted financial services groups. BNY Investments is a leading investment manager, with $2.1 trillion* in assets under management. Through an investor-first approach, the firm brings to clients the best of both worlds: specialist expertise from seven specialist investment managers offering solutions across every major asset class, backed by the strength, stability, and global presence of BNY.

We’re seeking a future team member for the role of Senior Vice President, Business Intelligence & Data Management to join our BNY Investments team. This role is located in 240 Greenwich St, NY.

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

• Independently conduct advanced, complex analyses of internal and external client or industry data sources and lead the development of statistical models and/or machine learning algorithms for analyzing and predicting client behavior, securities performance, risk or economic data. Able to independently gather requirements, provide leadership to devise analytical solutions and execute implementation of assigned tasks.
• Conducts metric analysis, leads data modeling and uses technology applications, applying techniques such as SQL querying and automated data workflow development to extract, blend and standardize numerous data sources for populating models. Program and/or system configure sophisticated models or algorithms. Expected familiarity with applied machine learning techniques and numerous machine learning algorithms, including classification and regression algorithms, market basket analysis, etc., for client segmentation purposes, tactical opportunity analysis and sales strategy enhancements.
• Formulates findings, prepares reports, including development of dashboards and visualizations to deliver results to management and sales staff. Provides recommendations for addressing observed outcomes. Translate complex technical concepts and analyses to non-technical audiences, including sales mgmt. 
• Serves as a resource to colleagues unfamiliar with specialized process or data sets. Stays abreast of latest data science and analytics technologies, and market trends. Partners with management to evaluate and select the most appropriate technologies.

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

• Advanced degree in data science or quantitative/STEM field required, PHD preferred. 3+ years’ experience preferred in data science, or quantitative field (inclusive of PHD work). Experience with Financial data, particularly Investment management data, a plus. 
• Clear, concise and effective communicator.
• High attention to detail with very strong analytical & critical thinking skills.
• Experience with data science/machine learning algorithms and tools (R, Python, or AI platforms) required. Experience with data workflow/ETL development tools (preferably Alteryx, Dataiku). Experience with dashboard/visualization development tools (Tableau, Power BI, D3.JS). Experience with cloud data warehouse solutions (preferably Snowflake) and CRM/analytics tools (Salesforce, Sigma).
• Self-motivated and operates with an ownership mentality.
• Provides work guidance to less experienced colleagues, but no direct reports initially. Opportunity for advancement and expected to lead analytical projects of a highly complex scope.

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn 

Here’s a few of our recent awards: 

• America’s Most Innovative Companies, Fortune, 2025

• World’s Most Admired Companies, Fortune 2025

• “Most Just Companies”, Just Capital and CNBC, 2025

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 is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $104,000 and $180,000 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.