Director, OPS Data Transfer, Integration Quality

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Bank Jobs
1 month
India
Maharashtra
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ID: 872420
Published 1 month ago by The Bank of New York Mellon Corporation
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In Bank Jobs category
Pune, Maharashtra, India
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Job Tittle: Director, OPS Data Transfer, Integration Quality

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about.

We’re seeking a future team member for the role of Director, OPS Data Transfer, Integration Quality to help accelerate with the data journey for Income Corporate Action. This role is in Pune, MH – HYBRID role.

In this role, you’ll make an impact in the following ways:
• Mine analyze data to uncover trends, connections between disparate data new business opportunities
• Define the Custody Breaks (fix at source) strategy, through Data mining; leverage intelligent automation (IA) tools and storytelling.
• Apply IA tools to expedite with the remediation book of work Path to Zero
• Develop data-driven stories to help define ‘Future state Operating Model’ to eliminate breaks at source
• Collaborate with cross-functional teams to solve complex problems drive innovation
• Create interactive dynamic dashboards using various visualization tools
• Stay up to date with emerging trends in data science intelligent automation
• Demonstrate a strong attitude to learn adapt to new technologies / develop functional knowledge
• Fail Fast: Foster a culture of continuous experimentation

To be successful in this role, we are seeking the following:
• Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required.
• 12 to 15 years of experience
• Strong oral written communication skills
• Technical Skills (Pre-requisite): Proficiency in tools like Celonis, PowerBi, Tableau, Alteryx X-Ceptor is required
• Ability to resolve complex issues and partner with stakeholders in uncertain environment
• Knowledge in data warehousing / data lakes will be valued (Not a must).
• Experience in the securities or financial services industry is a plus.
• Should enjoy quick prototyping, building Intelligent Automation (IA) tools to improve end to end process
• Develop a strong connect with all stakeholders. Work with internal business groups on implementation opportunities, challenges, and requirements.
• Comply with BNY standard development methodology

At BNY, our culture speaks for itself. Here’s a few of our awards:
• America’s Most Innovative Companies, Fortune, 2024
• World’s Most Admired Companies, Fortune 2024
• Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024.
• Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024.
• “Most Just Companies”, Just Capital and CNBC, 2024
• Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
• Bloomberg’s Gender Equality Index (GEI), 2023

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, which 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. Read more

Published on 2025/09/10. Modified on 2025/09/10.

Description

Job Tittle: Director, OPS Data Transfer, Integration Quality

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about.

We’re seeking a future team member for the role of Director, OPS Data Transfer, Integration Quality to help accelerate with the data journey for Income Corporate Action. This role is in Pune, MH – HYBRID role.

In this role, you’ll make an impact in the following ways:
• Mine analyze data to uncover trends, connections between disparate data new business opportunities
• Define the Custody Breaks (fix at source) strategy, through Data mining; leverage intelligent automation (IA) tools and storytelling.
• Apply IA tools to expedite with the remediation book of work Path to Zero
• Develop data-driven stories to help define ‘Future state Operating Model’ to eliminate breaks at source
• Collaborate with cross-functional teams to solve complex problems drive innovation
• Create interactive dynamic dashboards using various visualization tools
• Stay up to date with emerging trends in data science intelligent automation
• Demonstrate a strong attitude to learn adapt to new technologies / develop functional knowledge
• Fail Fast: Foster a culture of continuous experimentation

To be successful in this role, we are seeking the following:
• Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required.
• 12 to 15 years of experience
• Strong oral written communication skills
• Technical Skills (Pre-requisite): Proficiency in tools like Celonis, PowerBi, Tableau, Alteryx X-Ceptor is required
• Ability to resolve complex issues and partner with stakeholders in uncertain environment
• Knowledge in data warehousing / data lakes will be valued (Not a must).
• Experience in the securities or financial services industry is a plus.
• Should enjoy quick prototyping, building Intelligent Automation (IA) tools to improve end to end process
• Develop a strong connect with all stakeholders. Work with internal business groups on implementation opportunities, challenges, and requirements.
• Comply with BNY standard development methodology

At BNY, our culture speaks for itself. Here’s a few of our awards:
• America’s Most Innovative Companies, Fortune, 2024
• World’s Most Admired Companies, Fortune 2024
• Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024.
• Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024.
• “Most Just Companies”, Just Capital and CNBC, 2024
• Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
• Bloomberg’s Gender Equality Index (GEI), 2023

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, which 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.
The Bank of New York Mellon Corporation
The Bank of New York Mellon Corporation
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