Senior Vice President, Production Services Infrastructure Support

Role overview

Senior Vice President, Production Services Infrastructure Support at BNY Mellon

We’re seeking a future team member for the role of Senior Vice President, Production services Infrastructure Support to join our Production team.

To be successful in this role, we’re seeking the following: Strong knowledge and experience working in Network infrastructure, Network operations, or enterprise infrastructure environments.

Responsibilities

• Manage AI demand intake and help prioritize work against business, operational, resiliency, and control needs.
• Track progress, dependencies, risks, issues, KPIs/KRIs, and portfolio status; provide regular reporting and escalation.
• Support governance processes to ensure AI initiatives align with enterprise standards, controls, and risk expectations.
• Drive adoption and change management for delivered AI capabilities, including communications, enablement, and community-building activities.
• Provide Production support for AI solutions in conjunction with SMEs within the teams Implement critical Run-the-Bank (RTB) and new projects related to Eliza, Eliza AI Hub, Eliza Brain (GCP Google brain), and Eliza as a Service (EaaS).

Required qualifications

• Challenges status quo appropriately while driving continuous improvement. 12+ years of related infrastructure experience required; experience in the securities or financial services industry is a plus Experience supporting automation, analytics, or AI-enabled operational improvement initiatives.

Employment details

• Location: Mh [India]

Additional role details

• This role is located in Pune In this role, you’ll make an impact in the following ways: Deliver high-complexity, re-usable AI Capabilities and AI transformation to achieve efficiencies with SMEs within the teams.
• Coordinate delivery across engineering, production services, architecture, and relevant stakeholders to support execution of approved AI use cases.
• Measure and report business/operational impact and maintain visibility of outcomes versus plan.
• Technical depth: AI agents, LLMs, MCP, MLOps, data/platform architecture Experience in engineering, production services, service management, or technology program/delivery leadership.
• Experience coordinating cross-functional delivery and stakeholder management in a controlled technology environment.
• Familiarity with monitoring, incident/problem/change management, operational resiliency, and performance reporting.
• Strong understanding of governance, risk, compliance, and control requirements for enterprise technology initiatives.
• Experience implementing the Agentic AI solutions for the infrastructure teams Demonstrated success driving AI or data-driven solutions from idea through implementation and adoption.
• Strong analytical, strategic thinking, and execution capabilities.
• Communicates clearly and often to relevant stakeholders.
• Executes with speed and order, with strong ownership and follow-through.
• Operates with a strong control focus and sound risk awareness.
• Collaborates across teams, influences without hierarchy, and supports a learning culture.
• Knowledge of governance, risk/control, and KPI/KRI tracking in enterprise technology environments.
• Strong communication and change/adoption capability across broad stakeholder groups.
• Experience in financial services or another regulated industry.
• Familiarity with AI use cases relevant to infrastructure, operations, and service management.
• Experience defining KPIs, business cases, and value realization frameworks for enterprise technology initiatives.