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Senior Vice President, Head of Performance Architecture & Intelligence

BNY Mellon

Senior Vice President, Head of Performance Architecture & Intelligence

BNY Mellon

New York, NY, United States

·

On-site

·

Full-time

·

2d ago

We’re seeking a future team member for the role of Senior Vice President, Head of Performance Architecture & Intelligence to join our People Team. This role is located in New York, NY.

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

  • Performance System Architecture
  • Design and continuously evolve the organization’s performance management and feedback ecosystems (including 360 processes)
  • Translate enterprise strategy into performance frameworks, behaviors, and measurement models
  • Ensure performance systems remain relevant in a rapidly changing, AI-augmented workforce
  • Performance Intelligence & Insights
  • Define and operationalize what “high performance” means across roles, teams, and functions
  • Leverage data, analytics, and emerging AI capabilities to generate actionable insights on performance trends
  • Partner with product and data teams to enhance performance-related tools and decision support
  • Experience & Behavior Design
  • Shape manager and employee experiences that drive meaningful, high-quality performance conversations
  • Design interventions that improve feedback quality, goal alignment, and accountability
  • Move from process compliance → behavior change and performance outcomes
  • Product & Technology Partnership
  • Collaborate with People tech and product teams on system design, implementation, and optimization
  • Influence roadmap decisions for performance-related platforms and tools
  • Ensure seamless integration between performance systems and broader talent ecosystems
  • Change & Adoption Strategy
  • Lead communication strategies and executive/manager enablement for performance-related initiatives
  • Drive adoption through clear narratives, capability building, and behavioral nudges
  • Anticipate future shifts in work (AI, automation, new role structures) and evolve performance approaches accordingly

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

  • 8+ years of total work experience and a Bachelor’s degree in organization development, industrial/organizational psychology, human resources, business, or related field (or equivalent experience); advanced degree preferred (e.g., MS I/O Psychology, MBA, MA OD).
  • Demonstrated expertise in performance management framework design, calibration, program assessment, delivery methodologies, and technology enablement.
  • Proven experience translating analytics into action across talent decisions, succession, and rewards.
  • Familiarity with regulatory considerations and compliance requirements across global jurisdictions.
  • Bias to action, extremely high attention to detail, ability to work in a highly matrixed organization

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About 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+

Employees

New York City

Headquarters

$40B

Valuation

Reviews

3.7

10 reviews

Work-life balance

4.2

Compensation

2.8

Culture

4.1

Career

2.5

Management

3.2

65%

Recommend to a friend

Pros

Good work-life balance

Supportive management and culture

Excellent benefits and retirement plans

Cons

Poor compensation and non-competitive pay

Limited career growth and progression opportunities

Management issues and disorganization

Salary Ranges

28 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Data Scientist L2

0 reports

$74,866

total per 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