Senior Manager, Data Science

Vanguard India

Hyderabad

On-site

INR 6,000,000 - 9,000,000

Full time

41 hours ago
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Job summary

Vanguard India in Hyderabad is seeking a seasoned data science and engineering leader to head an enterprise-scale AI evaluation and platform team. The role combines hands-on AI/ML work with people leadership and collaboration across product, platform, architecture, and governance functions.

You will guide a portfolio of analytics projects, ensure production readiness, and push cutting-edge GenAI capabilities while partnering with stakeholders to translate business questions into scalable data

Qualifications

  • Minimum 10 years of experience in analytical roles with progressive leadership responsibilities in data science and large-scale analytics initiatives.
  • 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 cross-functional and senior stakeholder communication skills.
  • Experience in regulated enterprise environments preferred.

Responsibilities

  • Lead a multidisciplinary team of data scientists and engineers building enterprise-scale AI evaluation and platform capabilities.
  • Assists and executes tactical plans to implement Vanguard's data science strategy to increase internal company performance and gain competitive advantage.
  • Manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects.
  • Oversees analytics projects, ensuring quality control and risk assessment of models and processes.
  • Engages with internal stakeholders to translate requirements into analytic approaches.
  • Leads test design, research design, and model validation; provides statistical consultation.
  • Evaluates new technologies and manages vendors engaged in big data analysis.
  • Designs data mining frameworks and statistical protocols to monitor patterns in high-volume datasets.

Skills

Leadership
Cross-functional collaboration
Stakeholder communication
Analytical thinking

Education

Bachelor’s degree in Analytics, Applied Mathematics, Economics, Statistics, Computer Science, or related field
Master’s degree preferred

Tools

Python
AWS
LLMOps/CI/CD
APIs
LLM/GenAI systems
Observability/Monitoring
Cloud-native architecture

Job 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.

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
  • Assists and executes tactical plans to implement Vanguard's data science strategy to increase internal company performance and gain competitive advantage.
  • 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.
  • 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.
  • Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. Provides coaching to data scientists.
  • 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.
  • 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.
  • 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.
  • Evaluates new technologies and manages vendors engaged in big data analysis.
  • Designs data mining frameworks and statistical protocols to extract and monitor patterns within high‑volume datasets across functional business domains.
  • 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.
  • 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 cross‑functional and senior stakeholder communication skills
  • Experience in regulated enterprise environments preferred
Location

This role is based in Hyderabad, Telangana at Vanguard India. Only qualified external applicants will be considered.

Our mission

Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

Benefits

Vanguard takes the same long‑term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life.

Financial wellness

We're committed to enabling your financial success and provide competitive offers and programs.

Physical wellness

We're committed to providing benefits that support your physical health and wellness.

Personal wellness

We're committed to providing resources that help support the full scope of your life.

How We Work

Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in‑person learning, collaboration, and connection. We believe our mission‑driven and highly collaborative culture is a critical enabler to support long‑term client outcomes and enrich the employee experience.

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