Jobs
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Paid Leave
•Flexible Hours
•Healthcare
•401k
•Equity
•Flexible Hours
Required Skills
Data science
Python
Excel
PowerPoint
Analytics
Leadership
Communication
Strategic thinking
Director, Data Science Manager
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 Director, Data Science Manager to join our Asset Servicing Deal Management and Controls team. This role is located in Pune, India.
In this role, you’ll make an impact in the following ways:
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Orchestrates data science technical and organizational leadership to effectively grow, promote, and deploy data products in support of Asset Servicing Deal Management and Controls strategic priorities, including revenue analytics, revenue control analytics, controls architecture, and streamlining first-line-of-defense support data structures
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Develop organizational leadership in techniques and methods to support data-driven decision making. Deliver actionable insights across domain specialties including model science, feature science, and controls science capabilities
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Develop team skills in application of AI capabilities across all domains relevant to deal management and controls, including revenue control analytics, deal pricing controls, controls monitoring, technical demonstrations, and the deal management lifecycle
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Establish relationships to foment a culture of data sharing across BNY and to obtain data and subject knowledge needed to support advanced analytics and a robust controls architecture
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Oversee the development of consultative partnerships with internal teams to understand their strategic objectives, key performance indicators, and reporting requirements for deal management and controls functions
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Oversee the discovery of business insights to guide strategic direction and drive organizational efficiencies, effectiveness, and outcomes in revenue processes and controls. Recruit and develop staff including professional and college hires from leading-edge institutions
Stay abreast of technology innovations and trends and identify areas of improvement across BNY and externally through academic and vendor relationships. Contribute to budgets and operating plans based on revenue control analytics needs
Partner with key Asset Servicing business leaders to lead one or more complex initiatives with direct strategic impact by maintaining and growing cross-organizational relationships, leveraging data science across the enterprise, including:
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Collaboration within the team and broader BNY relationships to understand Asset Servicing deal management controls business, how to obtain data and subject knowledge needed to support advanced analytics and controls-informed decisions & transformation
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Defining the scope of strategic initiatives
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Owning and driving creation of deliverables
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Developing and incorporating insights from qualitative and quantitative analysis
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Project management for strategic projects:
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Define scope, timeline, key milestones for project work
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Set meetings, define agendas
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Develop insights from thoughtful, thorough data analysis:
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Partner with business SMEs and competitor and market intelligence teams to collect quantitative and qualitative inputs
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Synthesize information and communicate insights and “so what’s” back to business leaders and the Asset Servicing Strategy head
Connecting the dots to deliver a “One Asset Servicing” and “One BNY” strategy
To be successful in this role, we’re seeking the following:
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Bachelor’s degree or the equivalent combination of education and experience is required. Master’s degree in business, data science, controls architecture, or other technical field a plus
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15-25 years of total work experience preferred, including significant exposure to revenue analytics, controls frameworks, and first-line-of-defense data structures
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Highly proficient in Excel, PowerPoint, and Word
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Highly proficient with data science tools, including Alteryx, PowerBI, Tableau, and Python
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Very strong communications skills, including listening, writing, speaking, and strategic framing
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Asset Servicing industry knowledge and experience; controls architecture, finance, or relevant consulting experience highly valued
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Tireless commitment to team success
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Strong work ethic and desire to drive sound, data-driven results and recommendations
At BNY, our culture speaks for itself, check out the latest BNY news at:
Here’s a few of our recent awards:
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America’s Most Innovative Companies, Fortune, 2025
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World’s Most Admired Companies, Fortune 2025
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“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
PublicBNY 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%
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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
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Data Scientist L2
0 reports
$74,866
total / year
Base
$29,946
Stock
$37,433
Bonus
$7,487
$52,406
$97,326
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
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