Senior Vice President, Business Intelligence & Data Management

About the role

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.

Responsibilities

• Conduct metric analysis, lead data modeling and use 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.
• Formulate findings, prepare 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 management.
• Serve as a resource to colleagues unfamiliar with specialized process or data sets.
• Stay abreast of latest data science and analytics technologies, and market trends. Partners with management to evaluate and select the most appropriate technologies.
• Provide 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.

Qualifications

• 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.
• Self-motivated and operates with an ownership mentality.

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).

Pay

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.