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职位BNY Mellon

Vice President, POM Product Management

BNY Mellon

Vice President, POM Product Management

BNY Mellon

Pune, MH, India

·

On-site

·

Full-time

·

5d ago

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

  • Designs product roadmaps and creates large-scale AI systems based on specific business requirements and market opportunities.
  • Consults with business units to identify needs and translates those into actionable AI product strategies.
  • Develops business cases, ROI models, and documentation to justify investments and showcase value creation.
  • Maintains product functionality and relevance, addressing technical debt and capitalizing on emerging AI trends.
  • Actively participates in product reviews and steers development priorities.
  • Integrates AI components into fully functional, scalable products.
  • Applies ethical AI principles, ensuring compliance with security and privacy regulations.
  • Defines and tracks meaningful KPIs to measure product success and business impact.
  • Establishes relationships with key stakeholders to gather necessary information and secure buy-in for AI initiatives.
  • Conducts market research and competitive analysis to inform product decisions.
  • Manages the full product lifecycle, from ideation to launch and beyond.
  • Develops go-to-market strategies and collaborates with marketing teams to effectively position AI products.
  • Ensures products are updated with latest features and aligned with evolving customer needs.
  • Participates in the deployment process, adhering to change management protocols.
  • Provides ongoing product support and drives continuous improvement initiatives.
  • Actively engages in learning and development, staying abreast of AI/ML advancements.
  • Completes all required training and policy awareness curricula on time.
  • Demonstrates strong teamwork and leadership skills.
  • Leverages existing products/functionality and promotes reuse to maximize efficiency.
  • Works closely with cross-functional teams to elevate technology standards and consistently apply best practices.
  • Collaborates with data scientists, engineers, business users, and project managers to achieve elegant solutions.
  • Utilizes industry events and networks to gain market insights and share knowledge.
  • Compiles comprehensive product documentation and go-to-market materials.
  • Acts as a mentor to junior team members and contributes to the achievement of organizational objectives.

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

  • Bachelor's degree or equivalent
  • Defines, develops, and delivers complex strategic AI/ML products that demonstrate measurable business value.
  • Translates business needs into AI-driven solutions, leveraging advanced data techniques to support cross-functional initiatives.
  • Responsible for end-to-end AI product lifecycle, from conception to delivery and ongoing optimization.
  • Collaborates with stakeholders to identify high impact use cases and ensures effective integration with existing systems.
  • Partners with data scientists, engineers, and subject matter experts to deliver innovative AI solutions.

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关于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+

员工数

New York City

总部位置

$40B

企业估值

评价

4.0

31条评价

工作生活平衡

3.4

薪酬

4.8

企业文化

3.9

职业发展

4.1

管理层

3.5

78%

推荐给朋友

优点

Prestigious brand and networking opportunities

Excellent compensation and bonus structure

Exposure to complex financial systems

缺点

Work-life balance can be difficult

Legacy technology in some areas

High-pressure environment with strict deadlines

薪资范围

28个数据点

M3

M4

M5

M6

M3 · Program Manager M3

0份报告

$196,533

年薪总额

基本工资

$78,613

股票

$98,267

奖金

$19,653

$137,573

$255,493

面试经验

8次面试

难度

3.0

/ 5

时长

21-35周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

HR/Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Final Round/Superday

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit