# Senior Manager, Data Science at Vanguard

Vanguard is hiring a Senior Manager, Data Science in Hyderabad, India. Level rates it Little AI ●○○○; you can [apply on Vanguard](https://jobsbylevel.com/go/3a6cbab7-e356-47b9-9883-a7e72b0a8c15?utm_medium=ai-agent).

AI Level 1, AI centrality 20 out of 100. Hyderabad, India.

## Details

- Company: [Vanguard](https://jobsbylevel.com/companies/vanguard)
- AI level: AI Level 1 (score 20 out of 100)
- Location: Hyderabad, India
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/3a6cbab7-e356-47b9-9883-a7e72b0a8c15?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-manager-data-science-at-vanguard-5cdcab

## Prepare for this job

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## Description

About Vanguard Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries. Vanguard India Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients. Role Summary Lead a multidisciplinary team of data scientists and engineers building enterprise-scale AI evaluation and platform capabilities. The role will focus on AI/GenAI evaluation, evaluation harness engineering, scalable platform infrastructure, and production AI quality and observability. We are looking for a strong technical leader who can combine hands-on AI/ML and engineering depth with people leadership, while partnering across product, platform, architecture, and governance teams. Responsibilities 1. Assists and executes tactical plans to implement Vanguard's data science strategy to increase internal company performance and gain competitive advantage. 2. Manages a team of 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. 3. 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. 4. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. Provides coaching to data scientists. 5. Oversees the execution of large scale analytics projects. Applies significant quality control and risk assessment of the model, methodologies, outputs, and processes for major data science projects. 6. 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. 7. Leads and coaches 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. 8. Evaluates new technologies and manages vendors engaged in big data analysis. 9. Designs data mining frameworks and statistical protocols to extract and monitor patterns within high-volume datasets across functional business domains. 10. Applies cutting-edge data science principles and machine learning techniques to create models that support strategic business initiatives across areas like marketing, economics, and operations. 11. Participates in data-driven innovation by contributing to scientific research projects that aim to develop new analytical approaches and expand the organization's data capabilities. Qualifications and Skills Minimum 10 years of experience in analytical roles with progressive leadership responsibilities in data science and large-scale analytics initiatives. Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, Computer Science, or a related quantitative field; Master’s degree preferred. Deep expertise in AI/GenAI evaluation, benchmarking, and evaluation harnesses Strong Python and software/platform engineering experience AWS and cloud-native architecture experience Experience with LLM/GenAI systems, observability, monitoring, and production readiness MLOps/LLMOps, CI/CD, APIs, and scalable distributed systems Strong

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