Senior Manager, Data Science
Vanguard is hiring a Senior Manager, Data Science in Hyderabad, India. Level rates it ; you can apply on Vanguard.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions MLOps and AI evaluation among its tools and skills.
- Level classes it as a senior role.
- Vanguard has 332 other open roles on Level.
- Posted in the last few days.
AI in this role
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 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.
Our commitment to you
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. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in 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.
How we rate this
Senior Manager, Data Science at Vanguard rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you decide that one model's output is better than another's for a given task?
Adapt your resume
- List these exact terms on your resume: ML Ops and AI Evaluation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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