Manager-AI Engineer

Role & responsibilities

• Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
• Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities.
• Manages a team of data analysts and newer data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of Vanguard's data science capabilities.
• Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
• Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
• Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
• Executes operational plans to achieve department objectives. Collaborates with department or functional heads in planning, developing, and executing near-term goals.
• Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
• Participates in special projects and performs other duties as assigned.
• Designs and refines data mining architectures, analytical protocols, and statistical reporting methods to identify actionable trends in large and complex datasets.
• Applies advanced data science principles and emerging technologies to develop models that inform strategic decisions across functions such as marketing, supply chain, and economic forecasting.
• Conducts research to evaluate cutting-edge analytics methodologies, aiming to enhance organizational capabilities and maintain competitive advantage.

Preferred candidate profile

• Minimum 8 years of experience in analytical roles with team leadership responsibilities.
• Bachelors degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, Computer Science or a related field; Master’s degree preferred.
• Proficiency in data wrangling and statistical modeling using programming languages (e.g., Python, R, SQL); strong command of machine learning techniques, data mining protocols, and advanced data analysis methodologies.