Associate Director · Data Analytics & AI

Nivetha Jayaram Raja

Data Reporting & Visualization · Snowflake & AI Platforms · Clinical Analytics · Team Leadership

12+ years building AI-driven data solutions that transform complex clinical, commercial, and operational data into actionable intelligence — leading cross-functional teams of 24, driving strategic planning, data governance, and ETL/ELT pipeline design across cloud analytics environments.

Built & Deployed | PharmaRAG  ·  PharmaAgent  ·  PharmaContent

Nivetha Jayaram Raja
Nivetha Jayaram Raja
Associate Director · Data & AI
Seeking Remote Leadership Opportunities
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Years Experience
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Team Members Led
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Dashboard Performance Gain
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Live AI Projects
English Tamil Telugu

Key Outcomes Delivered

Measurable results across analytics leadership, platform engineering, and team development.

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RAG Retrieval Accuracy
PharmaRAG — FDA regulatory knowledge assistant with 0% hallucination rate
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Performance Improvement
Redesigned & optimized dashboards — faster load, better UX, higher executive adoption
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Engineers & Analysts Led
Cross-functional team delivering AI-powered analytics for clinical & commercial operations
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Live AI Projects
PharmaRAG · PharmaAgent · PharmaContent — all deployed on Snowflake Cortex

Skills & Tools

A broad, production-grade toolkit spanning GenAI, Agentic AI, cloud data infrastructure, BI, and engineering leadership.

Expert
Snowflake Snowflake Cortex AI RAG (Retrieval-Augmented Generation) Agentic AI LangGraph MCP (Model Context Protocol) SQL & PL/SQL Power BI Data Modelling Data Governance Team Leadership Stakeholder Management Cross-Functional Team Management Strategic Planning Agile Scrum Clinical Trials Analytics Healthcare & Pharma Domain
Proficient
LangChain dbt (Data Build Tool) Python Streamlit Prompt Engineering LLM Application Development Vector Embeddings Cortex Search Pharmacovigilance Signal Detection Tableau Databricks ETL / ELT Cloud Analytics AI-Powered Reporting Star Schema Design Predictive Analytics Natural Language Querying ChatGPT & GitHub Copilot Jasper Reports JIRA & Confluence
Familiar
CrewAI AutoGen LlamaIndex GraphRAG KSQL JavaScript HTML Anomaly Detection Adobe XD Power Automate
Domain
Clinical Trials (ClinicalTrials.gov) Pharmacovigilance (FDA FAERS) Regulatory Affairs (FDA Guidance) Pharma Commercial Analytics HR Analytics Healthcare Payer Systems Membership & Claims Benefits Management

Work Experience

12+ years of progressive data, analytics, and AI leadership — from healthcare payer solutions to clinical trial intelligence platforms.

Associate Director — Data & AI
July 2021 — Present
Syneos Health
Remote, India · Healthcare & Pharma
  • Lead 24 engineers & analysts delivering AI-powered analytics on Snowflake, Cortex AI & Power BI — achieving a 40% dashboard performance improvement and driving executive decision-making across clinical, commercial, and HR functions
  • Designed a unified star schema data model supporting multi-client & multi-product architecture — reducing development timelines by 50% and enabling new client onboarding with zero rework
  • Lead full Agile Scrum delivery and stakeholder engagement — translating complex business requirements into scalable analytics solutions while mentoring the team on Snowflake, Cortex AI, and best practices
  • Built 3 production-grade GenAI & Agentic AI projects — PharmaRAG (87% RAG accuracy), PharmaAgent (LangGraph multi-agent with pharmacovigilance signal detection), PharmaContent (MCP-based content generator with audit trail) — all live on Snowflake Cortex
Senior Business Analyst
May 2020 — July 2021
Kyyba India Pvt Ltd
Remote, India
  • Converted HTML reports to Jasper Reports, led requirements analysis for RFEs, resolved data quality issues, and designed UI/UX mockups in Adobe XD — improving reporting delivery time and user experience
Career Break
March 2017 — May 2020
Personal — Marriage & Maternity
India
  • Took a deliberate career break following marriage and the birth of my child — a personal choice to prioritise family during a significant life transition. Remained engaged with the data and analytics space through self-directed learning, returning to the workforce in 2020 with renewed focus and commitment.
Product Specialist
August 2011 — March 2017
Cognizant Technology Solutions
Chennai, India · US Healthcare Payer Clients
  • Led design, build, and enhancement of healthcare payer solutions across membership, claims, and benefits modules for multiple US clients — managing defect resolution, tracking delivery metrics, and improving operational efficiency across enrollment and claims processing

Domain & Platform Expertise

Deep functional knowledge across data platforms, analytics domains, and clinical-commercial business intelligence.

Cloud Platform
Snowflake & Cortex AI
End-to-end architecture of Snowflake-based analytics platforms integrating Cortex AI for RAG, agentic workflows, embeddings, semantic search, and intelligent self-service reporting.
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Agentic AI
LangGraph Multi-Agent Systems
Built stateful multi-agent orchestration with LangGraph — conditional routing, agent-to-agent handoff, tool use, ReAct pattern, and human-in-the-loop review for safety-critical pharma outputs.
Business Intelligence
Executive Dashboards & Power BI
Design and delivery of executive-level Power BI dashboards tracking application usage trends, clinical KPIs, and operational performance — driving C-suite decision-making.
Healthcare & Clinical
Clinical Trials & Pharmacovigilance
Deep expertise in clinical trial data (ClinicalTrials.gov), FDA FAERS pharmacovigilance signal detection using Reporting Odds Ratio, FDA regulatory guidance documents, and healthcare payer systems.
Team Leadership
Engineering & Analytics Teams
Leads and mentors cross-functional engineering teams through best practices in Snowflake development, Cortex AI, dbt pipelines, data visualization, and Agile delivery.
Agile Leadership
SDLC & Delivery Excellence
Full SDLC ownership from requirements to production — leading sprint planning, backlog refinement, and retrospectives in Agile Scrum environments using JIRA and Confluence.

GenAI & Agentic AI Projects

3 production-grade AI systems built on Snowflake Cortex — all live and publicly accessible. Real data, real pipelines, real outputs.

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Project 1
PharmaRAG

RAG-based FDA Regulatory Knowledge Assistant — answers natural language questions over 40 FDA oncology guidance documents with mandatory citations and zero hallucinations.

87% accuracy 0% hallucination 1,011 chunks 13 dbt tests
Snowflake Cortex · PARSE_DOCUMENT · EMBED_TEXT_768 · Cortex Search · Mistral Large 2 · dbt · Streamlit
Live Demo GitHub
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Project 2
PharmaAgent

Agentic Clinical Trial Copilot — LangGraph multi-agent orchestration with pharmacovigilance signal detection using Reporting Odds Ratio on 3,206 FDA FAERS adverse event reports.

914 trials 21 signals detected 9 tools Human-in-loop
LangGraph · LangChain · Snowflake Cortex · dbt · ClinicalTrials.gov · FDA FAERS · Streamlit
Live Demo GitHub
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Project 3
PharmaContent

GenAI Content Generator for Medical Affairs — MCP server with 6 standardized tools generating plain language summaries, competitive briefs, and regulatory context with full pharma-compliant audit trail.

6 MCP tools 3 audiences Full audit trail MCP protocol
MCP · Snowflake Cortex · Mistral Large 2 · Python · Streamlit
Live Demo GitHub

How I Use AI in My Work

Practical, hands-on application of AI tools across the full analytics workflow — from requirement gathering and development to testing and delivery.

Snowflake Cortex AI
Development · Data · Architecture
Code Generation
Generates SQL queries, stored procedures, and Python scripts inside Snowflake — accelerating development and reducing manual coding effort across the team
Streamlit App Development
Builds real-data KPI prototypes inside Snowflake using Streamlit + Cortex AI for stakeholder validation — once logic is confirmed, converted into production dashboards with no rework
Data Understanding & Modelling
Leverages Cortex AI to explore and understand complex datasets, design data models, and validate schema structures — improving accuracy and speed of data architecture decisions
ChatGPT & GitHub Copilot
Daily Workflow · Productivity
Technical Documentation
Drafts technical documentation, user guides, and solution design documents — reducing documentation effort while maintaining clarity and consistency across deliverables
Requirements Summarisation
Summarises complex stakeholder requirements and lengthy business briefs into concise, structured specs — enabling faster alignment between teams and reducing ambiguity
Debugging & Test Case Generation
Accelerates debugging of SQL, Python, and dashboard logic, and auto-generates comprehensive test cases — improving code reliability and cutting QA cycle time
AI Impact Across the Workflow
⚡ Faster Development 📄 Better Documentation 🔍 Smarter Debugging ✅ Automated Test Cases 📊 Richer Data Models 🤖 Self-Service AI Apps
Built & Deployed 📋 PharmaRAG 🧬 PharmaAgent 📝 PharmaContent

Processes That Improved the Team

Structural improvements introduced to elevate team delivery quality, reduce errors, enforce standards, and build reusable, scalable solutions. Click any process to read more.

Quality · Defect Management
Quarterly Defect Review
↑ Errors reduced by 30%+
Introduced a structured quarterly defect review process to systematically analyse recurring errors, identify root causes, and implement preventive actions — stopping the same mistakes from resurfacing across sprints.
Standards · Code Quality · Team Growth
Code & UI Review Checklist
↑ Team-wide quality · stronger engineering thinking+
Created a comprehensive review checklist covering both code standards and UI consistency. Consistent, structured code reviews became a powerful learning tool — helping engineers think more critically about their solutions and grow technically sprint after sprint.
Agile · Delivery
JIRA Agile Practices Enforcement
↑ Sprint visibility & team accountability+
Enforced structured JIRA practices across the team — ticket hygiene, sprint tracking, status updates, and backlog discipline — ensuring full transparency on delivery progress and enabling data-driven sprint planning.
Agile · Team Alignment
Daily Standup Facilitation
↑ Faster blockers · stronger sprint alignment+
Facilitated daily Agile standup calls across the 24-member engineering team — ensuring alignment on sprint progress, surfacing blockers early, and maintaining delivery momentum across concurrent analytics workstreams.
Agile · Continuous Improvement
Retrospection Meetings
↑ Team-owned best practices · sprint-over-sprint growth+
Conducted regular retrospection meetings with the team to collectively reflect on what went well, what didn't, and what could be done better — building a culture of continuous improvement where the team owned their growth.
Planning · Clarity Before Build
Dedicated Data & Requirement Analysis Phase
↑ Reduced development time+
Introduced a dedicated upfront phase for data analysis and requirement analysis before any development begins — ensuring the team had complete clarity on data structures, business logic, and expected outputs.
Quality · BA Alignment
Unit Test Cases with Expected Output
↑ Fewer UAT defects · stronger Dev–BA alignment+
Introduced the practice of creating unit test cases with clearly defined expected outputs before development — aligning developers and Business Analysts on exactly what a correct result looks like.
Planning · Project Management
Effort Estimation & Project Planning
↑ Accurate timelines · stronger stakeholder confidence+
Introduced a structured effort estimation process for all incoming projects and features — breaking down requirements into granular tasks, assessing complexity, and mapping realistic timelines.
Stakeholder Clarity · Rework Elimination
Proactive Stakeholder Clarity Meetings
↑ Eliminated assumption-driven rework+
Introduced the practice of proactively reaching out to business stakeholders before development begins — scheduling focused clarity meetings to validate understanding, resolve ambiguities, and align on expected outcomes.
Architecture · Reusability
Configurable KPI Logic Framework
↑ Multi-client adoption · zero logic rework+
Redesigned KPI logic to be fully configurable rather than hardcoded — enabling the same framework to be rapidly adopted for new clients without engineering rework, significantly reducing onboarding effort and time-to-value.
Architecture · Scalability · 🟢 Live Demo Available
Configurable Time Period & Category Filters
↑ Zero code changes for new requirements+
Architected time period and category filters as table-driven configurations — meaning any new application or client requirement is accommodated through simple table-level changes alone, with no code modifications, no deployment, and no downtime required.
Try it yourself — fully interactive, no login required ↗ View Live Demo
Architecture · Multi-Client · Multi-Product
Unified Data Model — Multi-Client & Multi-Product
↑ 50% reduction in development timeline+
Designed and implemented a unified Snowflake star schema data model built to support multi-client and multi-product architecture simultaneously — compressing delivery timelines by 50%.
AI Innovation · Real-Data Prototyping
Streamlit Prototyping with Real Data for Stakeholder Validation
↑ Zero mock-data rework · no logic changes at production+
Introduced a real-data prototyping approach using Snowflake + Cortex AI + Streamlit — building interactive KPI applications directly on live commercial field activity and performance data before committing to a full dashboard.

Certifications & Education

Formally recognised qualifications across data science, database expertise, and healthcare domain knowledge.

SQL
ORACLE Certified SQL Expert (OCA)
Oracle · Database Expert Certification · 2014
DS
Master Certification in Data Science
Simplilearn · Advanced Data Science Program · 2020
HX
AHM 250 — Introduction to Healthcare
AHIP · Health Insurance & Payer Domain · 2012
Bachelor of Engineering — Electronics & Communication
Anna University · 2007 — 2011
Graduated with 80% · Top 10 percentile of the class
Best BI Visualization Idea
Cash prize of ₹10,000 · Outstanding contribution to data visualization innovation
Associate of the Quarter
Q4 2016 · Cognizant Technology Solutions · Client delivery excellence
Consistent Strong Performer
Syneos Health · Recognised across multiple appraisal cycles for consistently delivering high-quality analytics solutions and outstanding team leadership
Exceptional Performer
Syneos Health · Latest appraisal cycle · Highest performance rating — recognised for exceptional delivery, technical innovation, and people leadership impact
English
Professional
Tamil
Native
Telugu
Proficient

Open to Remote Leadership Roles

Seeking senior remote opportunities in AI, Data Engineering, and Analytics leadership — happy to connect and explore the right fit.