Lata Iyer
NLP EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Leader | Enterprise AI Transformation | Telecom, BFSI, Healthcare | Board & CXO Advisor | Physicist (Energy & Nuclear Systems)
AI leader with 25+ years of experience driving large-scale transformation across Telecom, Pharma, BFSI, and enterprise domains, with deep expertise in AI/ML, Advanced Analytics, and Generative AI. Currently focused on the next wave of AI evolution — Agentic AI and Multi-Agent Systems — enabling enterprises to move beyond pilots into scalable, production-grade AI systems. Experienced in designing AI solutions that combine business understanding, data strategy, and execution frameworks to deliver measurable ROI. Proven track record of building and leading global teams, creating AI-driven products, and driving enterprise-wide adoption across complex ecosystems. Strong focus on bridging the gap between AI innovation and real-world implementation, including governance, scalability, and cost optimization. Actively leading GenAI & Agentic AI transformation AI strategy and enterprise adoption Industry-specific AI solutions (Telecom, Pharma, BFSI)
UC San Diego
Ph.D., Theoretical Physics
January 1, 2000 – Present
University of Mumbai
Master’s Degree, Nuclear Physics
N/A – Present
Tech Mahindra
Sr Vice President - Global Head AI Engineering and Technology
September 1, 2024 – January 1, 2025
Fractional CXO
AI & GenAI Leader | Agentic AI | Board & CXO Advisor
September 1, 2023 – Present
Rakuten Institute of Technology
VP & Head AI innovation & Global Head AI Engineering
March 1, 2022 – September 1, 2023
Royal Bank of Scotland Business
Artificial Intelligence COE, Global Head, Digital Engineering Services
March 1, 2018 – March 1, 2022
Saape Designs
Vice President -Head & Advisor AI & ML
January 1, 2016 – January 1, 2018
Houston, Texas Area
Fractal Analytics
Vice President & Head ( Artificial Intelligence & Machine Learning)
January 1, 2015 – January 1, 2016
Xchanging (A DXC technology company)
Vice President & Head - Data Science
January 1, 2014 – January 1, 2015
IBM
Partner & Executive Director - (Strategy & Analytics - Global Business Services)
January 1, 2013 – January 1, 2014
Tata Consultancy Services
Associate Vice President- (Head Global Analytics Business )
January 1, 2010 – January 1, 2013
HCL Technologies
Dpty General Manager -Head Analytics
January 1, 2005 – January 1, 2010
MARKETRX INC.
Sr. Associate Professional Services Adv Analytics
January 1, 2004 – January 1, 2005
Network Programs
Enterprise Business, Expert Systems - Product Manager
January 1, 2001 – January 1, 2004
Zentrx -San Diego
Senior Scientist - Product Development
January 1, 1998 – January 1, 2001
Greater San Diego Area
UC San Diego
Visiting Scientist (Nanotechnology)
January 1, 1997 – January 1, 1998
Space Applications Centre, ISRO
Sr. Research Associate
January 1, 1995 – January 1, 1997
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on leadership and strategic roles within large organizations and consulting. The transition to a 'Fractional CXO' role indicates an entrepreneurial spirit and a desire for diverse engagements. While the candidate has a strong background in AI/ML, the target role of 'NLP Engineer' is a hands-on technical role. The candidate's experience is primarily at a strategic and managerial level, which might not align with the day-to-day technical responsibilities of an NLP Engineer. The breadth of experience across different companies and industries suggests adaptability, but the depth of recent hands-on technical work in NLP specifically is not evident.
Soft Skills & Operational Fit
The candidate's extensive experience in senior leadership roles (VP, Global Head, CXO Advisor) suggests strong leadership, strategic thinking, and operational management skills. The long tenure in various companies indicates adaptability and resilience. However, without specific project details or direct communication samples, it's difficult to assess collaboration style or detailed problem-solving approaches.