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Raghu Warrier

Principal Product Leader specializing in healthcare AI and data platforms

MedAdvisor SolutionsIndian Institute of TechnologySan Francisco Bay Area, CA29 Years ExperiencePrincipal Level

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About

Healthcare product leader with deep oncology and pharma experience who has built both foundational clinical data platforms and AI-powered patient engagement workflows. Particularly notable for combining rigorous data standardization, LLM evaluation/guardrail design, and human-centered communication changes that drove measurable medication refill and adherence improvements. Also teaches AI to product managers and business analysts, bringing a pragmatic, education-first view of human-centered AI adoption.

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Key Strengths

  • Led end-to-end rebuild of oncology data normalization and knowledge management platform across multiple health systems
  • Strong healthcare and life sciences domain expertise spanning oncology, clinical data, pharma sponsors, and patient adherence
  • Sequenced platform strategy effectively by standardizing data before building intelligence layers
  • Built and aligned cross-functional teams across engineering, AWS, clinical informatics, epidemiology, oncology, and data science
  • Created Group/Interpret/Project framework to accelerate dataset generation and user feedback loops
  • Designed scalable common data model that enabled expansion from lung to breast and prostate cancer cohorts
  • Shipped AI-enabled patient engagement workflow using RAG and agentic pipeline across clinical, customer service, and creative teams
  • Implemented LLM evaluation framework to monitor Sonnet-to-Haiku functionality drift with guardrails
  • Used measurable outcomes such as medication adherence lift and reported ~30% refill lift for pharma sponsors
  • Improved patient UX by simplifying scientific language and applying demographic-based comprehension testing
  • Balanced user needs and organizational cost constraints by shifting power users to configuration over raw data experimentation
  • Develops talent through strengths-based hiring, clear goals, and AI skill-building

Reference Highlights

Strongly Recommended
  • extremely fast learner
  • delivers quality outcomes at rapid speed
  • unlocks team members' potential quickly
  • sees the bigger picture before drilling down
  • saved the team with an architecture-compliant solution
  • strong customer focus
  • drives products from inception to delivery
  • convinces executive leadership with customer-informed vision
  • creates simple high-level requirements to guide design
  • hands-on AI advisor and educator
  • helps companies build trust in AI
  • fosters collaboration to find product direction
  • approachable leader
  • proactively identifies who needs help
  • removes or avoids obstacles early
  • invisible glue for the team
  • people-first mindset
  • provides care, time, training, and resources
  • values smart, fast, innovative, inexpensive technology
  • one of the best human beings the reference has known
  • key factor in platform success
  • strong collaborator across clients, stakeholders, and technologists
  • truthful communicator with the Board
  • balances technology, human factors, and compliance well
  • solid engineer
  • hands-on with reviews and feature testing
  • good judgment on fit-for-use AI tools and integrations
  • products were well received by pharmacy chains
  • strong UX intuition
  • demonstrates simplicity without losing technical nuance
  • builds empathy for users and teammates
  • design decisions enabled high adoption rates
  • patient coach to engineers
  • effective manager of technical teams
  • guided contractor success in other company programs
  • excellent at carrying out mission-driven goals
  • aligns stakeholders effectively
  • clear product thinking
  • strong documentation habits
  • validates requirements thoroughly
  • cross-functional leadership
  • drives execution through product philosophy
  • keeps teams in lockstep
  • communicates progress and value well
  • champions sprint demos
  • ensures strong user training and UAT
  • hands-on with AI and machine learning
  • technical and understands algorithms
  • strong UX/UI instincts
  • uses prototypes to clarify good design
  • empathetic leadership style
  • checks in often with team members
  • active listener
  • handles challenging circumstances
  • outcome-oriented
  • curious and seeks deep understanding
  • understands users and business needs
  • KPI-oriented
  • patient-first mindset
  • human-centered decision making
  • balances user experience with business goals
  • uses technology pragmatically
  • views technology as augmenting people
  • focuses on respect, empathy, and empowerment

Raghu's references speak for themselves. Let us connect you.

Experience

Lead Instructor, AI Product ManagementTechademy · Apr 2026 – Present
Principal, Product Management – Patient Engagement PlatformMedAdvisor Solutions · Nov 2023 – Present
Associate Director, Product Management – Real‑World Evidence PlatformSyapse · Mar 2023 – Oct 2023
Senior Manager, Product Management – Data Platform & Semantic InterpretationSyapse · Jan 2022 – Feb 2023
Data Product Management & Analytics ProgramsSyapse · Mar 2019 – Dec 2021
Director, Oracle Cloud – Engineering & Platform DeliveryOracle · Feb 2006 – Feb 2019
Senior Engineering Leader & Solutions ArchitectSierra Atlantic · Aug 2000 – Jan 2006
Senior Software EngineerVarious · Mar 1996 – Jul 2000

Education

Indian Institute of Technologymaster, Materials Science and Engineering
University of Mumbaimaster, Physics

Languages

English

Certifications

AI Fluency for Educators — AnthropicIntroduction to Agent Skills — AnthropicModel Context Protocol: Advanced Topics — AnthropicProduct Leadership Credential — Product SchoolMachine Learning — Stanford UniversityStartup Formation: Inception to Seed Funding — Stanford UniversityProfessional Agile Leadership (PAL 1) — Scrum.orgArtificial Intelligence: Implications for Business Strategy — MIT Sloan Executive Education

Publications

3 publications

Drug ontologyReal-world evidenceMolecular biomarker dataNatural language processingOncology informaticsClinical data extraction

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Raghu WarrierPrincipal Product Leader specializing in healthcare AI and data platforms