Ramki Balakrishnan
Strategically Focused Results driven Technology Executive| Transformative Cybersecurity Leader| Carnegie Mellon Certified CIO CISO
- Role
- Director - Cybersecurity at BNY
- Location
- Pittsburgh, PA, US
- LinkedIn followers
- 500 followers
About Ramki Balakrishnan
Ramki Balakrishnan is a Director in the Cybersecurity Team at BNY Mellon, where he leads the security analytics and threat detection capabilities for the firm. He is a Carnegie Mellon University certified CISO and CIO. A technology executive with over 20 years of experience in the financial services sector, he excels in building geographically & culturally diverse high performing teams. He has established the cyber analytics practice from scratch, building and operationalizing various cyber tech platforms, such as Splunk Enterprise Security, SOAR automation, Breach and Attack Simulation, and Cloud native SIEM. He has also built a best-in-class threat detection team, composed of cybersecurity engineers who analyze tens of terabytes of data daily using sophisticated data analytics platforms and techniques. He is passionate about taking emerging technologies mainstream and establishing them as enterprise standards. He has deep expertise in cybersecurity, enterprise architecture, application development, business intelligence, analytics, and automation. He strives to deliver innovative and secure solutions that enable business growth and customer satisfaction.
Experience
Director - Cybersecurity
Jan 2016 — Present · Pittsburgh, PA, US
Education
Carnegie Mellon University
Graduate Certificate, CIO-Executive Education
University of Madras
BE, Electronics and Communications Engineering
1995 — 1999
University of Pittsburgh
MS, Information Science
2001 — 2003
Carnegie Mellon University
Graduate Certificate, CISO Executive Education
Skills
- E-Commerce
- Business Intelligence
- Software Development Life Cycle (Sdlc)
- Requirements Analysis
- Vendor Management
- Software Project Management
- IT Strategy
- Sdlc
- Risk Management
- Soa
- Sql
- Business Analysis
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