Prashant Mehta
Senior Director - Global Head of Alphagen Platform Data & Analytics Executive @BlackRock
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WORK HISTORY
Senior Director - Global Head of Alphagen Platform Data & Analytics Executive @BlackRock
Lead global strategy, architecture, and delivery of the Alphagen Platform, the foundation for systematic investment research and alpha generation supporting $1+ trillion active AUM.• Built and scaled cloud-native, AI-enabled infrastructure to accelerate signal and model deployment, cutting research-to-production timelines.• Architect & Oversee ingestion, transformation, and governance of thousands of datasets (structured, unstructured, alternative) to fuel alpha capture.• Drive GenAI adoption in research workflows — sentiment analysis, summarisation, entity recognition.• Managed high-performing, cross-region engineering teams delivering measurable research productivity gains.• Led vendor selection and budget approval for enterprise Data & AI cloud strategy following POCs and stakeholder alignment.
EDUCATION
CFA UK
Invesment Management Certificate
University of Mumbai
I.T
ABOUT PRASHANT MEHTA
Global data and technology leader with extensive experience building enterprise-scale, AI-enabled data platforms for world’s leading asset manager. I bridge data strategy, engineering excellence, and investment research expertise to deliver measurable business outcomes.Innovative and highly driven, I have a proven track record of expanding global scope, transforming data capabilities, and delivering sustained competitive advantage. From architecting the data backbone for investment research to leading the firm’s cloud migration strategy for research data, I have consistently aligned data innovation with strategic investment goals. Passionate about data leadership, team development, and business-aligned technology transformation, I thrive at the intersection of financial markets, data engineering, and AI innovation.Specialties include:• Cloud Data Architectures – Snowflake, Azure; scalable, enterprise-grade platforms• Data Governance & Metadata Management – enterprise frameworks, data lineage, stewardship• AI for Investment Research – unstructured/semi-structured data pipelines, NLP, entity recognition, knowledge graphs• Data Modelling, Pipelines & Orchestration – distributed compute, workflow automation, data observability• Financial Domain Expertise – Equities, Fixed Income, Risk, ESG, Macro-economic, and Alternative Data• Market & Reference Data – Company fundamentals, estimates, pricing, benchmarks, analytics• Stakeholder Management & Strategic Partnership – engaging C-suite, PMs, quants, and enterprise tech leaders
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