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BNY

Safeguards and moves assets for investors

Vice President, Data Scientist

Technical Product ManagementConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or postgraduate degree in Computer Science, Data Science, Engineering, Business, or a related field, or an equivalent combination of education and experience.
  • At least 10 years of experience in product ownership or product and project delivery, with a track record of taking technology or AI products from concept to production.
  • Product-owner skills including Agile methodology, backlog and requirements management in JIRA and Confluence, roadmap planning, and prioritization against business value.
  • Working knowledge of AI and generative AI concepts, including large language models, prompt engineering, retrieval-augmented generation, and agentic or multi-agent systems; understanding of how these solutions are built, evaluated, and governed to guide engineering teams and make sound trade-offs.
  • Strong communication and stakeholder-management skills, including translating between business intent and technical execution and presenting to senior stakeholders.
  • Advanced Microsoft Excel and PowerPoint skills, and business analytics using Power BI or Tableau.

Responsibilities

  • Own the product vision, roadmap, and prioritized backlog for AI Hub solutions, aligning priorities to business outcomes, user needs, and measurable value.
  • Partner with business stakeholders, subject-matter experts, and end users to shape AI and agent use cases, and write and refine story-level requirements and acceptance criteria in JIRA for engineering teams.
  • Work with Data Science, ML Engineering, and Data Engineering teams to move solutions from proof of concept to production; define success metrics, evaluation criteria, guardrails, and the Ready for Development and Done standards for each release.
  • Lead Agile ceremonies, including planning, backlog refinement, standups, design, and retrospectives; validate delivered features with stakeholders and end users against requirements and expected outcomes.
  • Own quality and operational readiness by reviewing test cases and evaluation results against acceptance criteria, working with the team to resolve defects and gaps, and preparing release notes and rollout communications.
  • Drive adoption and value realization for AI Hub products by tracking usage, cost, and performance, gathering user feedback, and championing responsible, reusable AI practices across the Hub.
  • Provide guidance to less experienced colleagues, lead cross-functional initiatives, and allocate work accordingly.

Desired Qualifications

  • Familiarity with Python and SQL.
  • Agile delivery experience is preferred.

About the Company

BNY

Safeguards and moves assets for investors

BNY safeguards financial assets and runs investment services for institutions, investment firms and wealthy clients around the world. Its custody business keeps clients' securities safe and handles the records and transactions needed to administer investment funds. Banks and brokers use its systems to settle trades, manage collateral and send payments, while its investment and wealth businesses manage portfolios and advise clients. It earns servicing and management fees as well as interest on loans and securities funded by client deposits. BNY traces its roots to the Bank of New York, founded by Alexander Hamilton in 1784, and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1784

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