Senior VP, Data & Decision Intelligence - InfoSec Leader

BNY Mellon; Pittsburgh (Allegheny County); Hybrid; USD 180,000 - 280,000; Full time

Job summary

BNY Mellon seeks a Senior Vice President focusing on Data & Decision Intelligence within the Information Security function. Located in Pittsburgh, PA or Lake Mary, FL with hybrid work, this role leads AI-enabled analytics to drive executive decisions and risk-informed investments.

The role requires deep data analytics expertise, cross-functional influence across architecture, engineering, security, operations, and finance, and a track record turning complex data into measurable value.

Qualifications

• Bachelor's degree in a quantitative, engineering, or computer science discipline; advanced technical degree preferred.
• 12+ years of experience in data/analytics, decision science, technology strategy, or security analytics.
• Proficiency with data and analytics tooling (SQL, Python, data visualization) and producing reproducible analyses.

Responsibilities

• Turn data from across networks and security domains into executive decisions with clear recommendations.
• Define questions leadership needs answered and deliver options, tradeoffs, and confidence levels.
• Quantify risk reduction and value from investments; identify consolidation or redirection opportunities.
• Produce vendor intelligence to drive renewal, consolidation, and prioritization with a security/value lens.
• Act as an authoritative interpreter of data, validating evidence and elevating data-quality gaps.

Skills

Data analysis

Decision intelligence

Executive communication

AI-enabled analytics

SQL

Python

Data visualization

Education

Bachelor's degree in quantitative/engineering/computer science

Tools

SQL

Python

Job description

BNY Mellon seeks a Senior Vice President focusing on Data & Decision Intelligence within the Information Security function. Located in Pittsburgh, PA or Lake Mary, FL with hybrid work, this role leads AI-enabled analytics to drive executive decisions and risk-informed investments.

The role requires deep data analytics expertise, cross-functional influence across architecture, engineering, security, operations, and finance, and a track record turning complex data into measurable value.