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Vice President, Production Services Infrastructure Support

BNY Mellon

Vice President, Production Services Infrastructure Support

BNY Mellon

Pune, MH, India

·

On-site

·

Full-time

·

4d ago

Vice President, Production Services Infrastructure Support

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #Life AtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Vice President, Production Services Infrastructure Support to join our TSG PRODUCTION SERVICES team. This role is located in Pune.

In this role, you’ll make an impact in the following ways:

  • Facilitate Agile Release Train (ART) ceremonies, including Program Increment (PI) Planning, Scrum of Scrums, System Demos, and Inspect & Adapt workshops.

  • Operationalize and secure BNY’s adoption of Google Cloud Platform (GCP) and Azure from Microsoft.

  • Scale GCP and Azure AI services usage securely and efficiently across the enterprise, enabling innovation while maintaining control and compliance.

  • Support critical AI infrastructure (Eliza) and services for sustaining Model Ops governance, monitoring, automation, scaling and capacity management

  • Support IAM using B2C capabilities across multi cloud service providers (Azure, GCP, OCI) during the following APAC, EMEA, and US time zones.

  • Implement critical Run-the-Bank (RTB) and new projects include: Eliza, Eliza AI Hub, Eliza Brain (GCP Google brain), and Eliza as a Service (EaaS).

Champion key operational requirements: Model Lifecycle Management, Monitoring & Performance, Data Management, Governance & Compliance, Security & Access Control, Reliability & Scalability, Automation & Optimization, Collaboration & Knowledge Sharing, Continuous Improvement

To be successful in this role, we’re seeking the following:

  • Bachelor's degree in computer science or a related discipline, or equivalent work experience required, with advanced degree preferred

  • Maintain secure, reliable data pipelines for model training and inference.

  • Ensure data quality checks (validity, completeness, freshness) before retraining.

  • Track data lineage and provenance to support audits and compliance.

  • Apply data governance frameworks across multi-cloud environments.

  • Typically, 5-10 years of related infrastructure experience required; experience in the securities or financial services industry is a plus

  • Implement autoscaling of inference services based on demand.

  • Design for high availability and disaster recovery across regions/clouds.

  • Perform load testing for AI services under peak conditions.

  • Use A/B testing and canary releases for safe rollouts of new model versions.

  • Control access to model APIs and training datasets (least-privilege IAM).

  • Protect sensitive data with encryption at rest and in transit.

  • Monitor and prevent adversarial attacks or misuse of AI models.

  • Conduct regular security reviews of deployed models and APIs.

  • Provide documentation, runbooks, and knowledge bases for model operations.

  • Collaborate with Data Science, DevOps, and Compliance teams.

  • Educate stakeholders on model behaviors, risks, and limitations.

  • Conduct postmortems for model failures or degraded performance.

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here’s a few of our recent awards:

  • America’s Most Innovative Companies, Fortune, 2025

  • World’s Most Admired Companies, Fortune 2025

  • “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

  • BNY is an Equal Employment Opportunity/Affirmative Action Employer
  • Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

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About BNY Mellon

BNY Mellon

BNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.

10,001+

Employees

New York City

Headquarters

Reviews

4.0

31 reviews

Work Life Balance

3.4

Compensation

4.8

Culture

3.9

Career

4.1

Management

3.5

78%

Recommend to a Friend

Pros

Prestigious brand and networking opportunities

Excellent compensation and bonus structure

Exposure to complex financial systems

Cons

Work-life balance can be difficult

Legacy technology in some areas

High-pressure environment with strict deadlines

Salary Ranges

30 data points

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Junior/L3 · Associate Client Reporting Performance I

1 reports

$70,635

total / year

Base

$61,422

Stock

-

Bonus

-

$70,635

$70,635

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Online Assessment/Technical Screen

3

HR/Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Final Round/Superday

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit