Vice President, Columbia Analytics – EDAI AI Strategy

Role Overview

• Engage collaboratively with senior business leaders and/or analysts to provide analytical thought leadership and support for business problems.
• Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope.
• Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.
• Lead process with business partners to agree on analytic strategy and support business in embedding insights into work-flows and driving adoption.
• Identify, develop and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc.
• Provide coaching and leadership to team of analytic resources.
• Align strategic objectives and tactical demands and translate into goals for the team.
• Conduct performance management, hiring, coaching/development, goal writing and 1:1 meetings.
• Champion ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing.
• Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders.
• Define and lead the strategic roadmap for AI and generative AI, ensuring alignment with business priorities, risk frameworks, and shareholder value.
• Foster strong partnerships across Enterprise AI Strategy, IA, Technology, Risk and support the AI Leadership council to help advance AI mandate for the firm.
• Oversee and manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation.
• May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.

Requirements

• Masters degree or equivalent
• 10+ years experience
• Previous people leadership experience.
• Knowledge of advanced statistical concepts and techniques; (e.g. skilled in linear algebra.)
• Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.
• Experience with statistical programming (Python, SQL etc.) & data visualization software in a data-rich environment.
• Demonstrated experience in driving business partnerships in a complex, matrixed organization.
• Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners.
• Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.
• Demonstrated ability to work and influence effectively in a collaborative team environment.

Tech Stack

• Python
• SQL

Benefits

• Health insurance
• 401(k)
• Paid time off