Nick K
- Role
- Sr Product Director Data Architect at American Express
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Nick K
In simple terms, I build Gen AI strategies which includes LLMs usage, NLPs and try to…
Experience
Sr Product Director Data Architect
Apr 2018 — Present
Led product strategy, planning, and execution of new products across Amex. Lead major product transformations for:On premise-to-Cloud, Business Process transformation, Digital Data driven enterprise, Machine learning models in the Cloud, evangelize big data roadmap, socialize real-time AI models. • In partnership with the business analytics teams, conceptualize, drive and evolve enterprise data and analytical products vision(Orchestra, realtime V2V, realtime virtual cards, Akinator personal assistant chatbots), strategy and roadmap using opensource technologies, cornerstone big data platform, microservices and APIs identifying high-impact business opportunities, contributing to business models and their revenue streams.
Education
Masters in Business Administration
International Finance - IIM Ahmedabad, MBA
MS
Financial Engineering
AWS Certified Solution Architect-Professional
AWS Certified Solution Architect-Professional
Harvard University
Leadership Excellence for C level executives, Management
Skills
- Derivatives
- Big Data
- Equities
- Machine Learning
- Program Delivery Management
- Ccar and Stress Testing
- Trading Systems
- Global Product Management
- Investment Banking
- Sdlc
- Integration
- Financial Services
- Analytics
- Scrum
- Program Management
- Hadoop
- Risk Management
- Software Development
- Business Intelligence
- Agile Methodologies
- Architecture
- Enterprise Architecture
- Technology Roadmap
- Fixed Income
- Text Analytics, Semantic Web, Nlp
- Strategy
- Business Strategy
- Strategic Leadership
- Data Governance
- Master Data Management
- Cloud Computing
- Nosql and in-Memory Databases
- Deep Learning
- Data Warehousing
- Software Delivery and Execution
- Data Integration
- Solution Architecture
- Data Mining
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