Kite Data Integration Lead – Sales & Digital

Role Overview

• support the transformation of AI/ML for Kite’s Commercial line of business
• drive the AI/data product strategy for Commercial Reporting & Analytics
• translate ambiguous and evolving Commercial needs into a clear, prioritized product roadmap
• define success metrics tied to measurable business outcomes
• influence both near‑term delivery and longer‑term data and AI platform evolution
• own the product vision, roadmap, and stakeholder engagement for AI‑enabled reporting, planning, and analytics use cases
• maintain a strong understanding of the technical architecture required to deliver these solutions
• develop and maintain pipelines to transition models from experimentation to production, including packaging, CI/CD, automated testing, and deployment
• ensure reliability and scalability of data pipelines; implement effective logging, tracing, and alerting
• collaborate with data scientists and commercial stakeholders to decompose complex business workflows into agent-executable workstreams
• implement version control, approvals, documentation, and audit trails for datasets, code, models, and agent instructions

Requirements

• Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience
• 3+ years in Data Engineering roles with a proven track record of deploying Data pipeline solutions at scale
• At least 2+ years building complex data science or large-scale analytics solutions
• Proficiency in Python and SQL; familiarity with TypeScript/JavaScript or a systems language (Go, Rust)
• Experience with TDD, CI/CD pipelines, and code quality standards
• Experience with CI/CD tools (e.g., GitHub Actions), containerization (Docker), and cloud infrastructure concepts
• Proficiency with Databricks distributed processing (Spark), data orchestration (Airflow), Tableau, Genie Spaces etc.
• Hands-on experience with AI coding tools (Claude Code, GitHub Copilot, Cursor, or equivalent) and Cortex AI or comparable LLM serving platforms
• Understanding of data privacy and security in healthcare; experience with secrets management, audit controls, and compliance frameworks (HIPAA, SOC 2, 21 CFR Part 11)
• Ability to design systems that scale across both traditional ML infrastructure and agentic AI architectures
• Knowledge of pharmaceutical commercial analytics in CGT or specialty pharma—HCP/HCO profiling and targeting, patient identification, call planning, demand forecasting, specialty pharmacy data, and omnichannel measurement
• Experience with IQVIA (LAAD, Symphony, NPA), Veeva CRM, MMIT, Model N, specialty pharmacy dispense data, claims/RWD, and high-value-per-patient environments
• Experience designing multi-agent workflows, orchestration patterns, and autonomous systems for enterprise applications
• Excellent verbal and written communication skills; ability to present complex findings to both technical and non-technical audiences, with a strong orientation toward teamwork in a fast-paced, regulated environment.

Tech Stack

• Airflow
• Cloud
• Docker
• JavaScript
• Python
• Rust
• Spark
• SQL
• Tableau
• TypeScript
• Go

Benefits

• company-sponsored medical, dental, vision, and life insurance plans*
• discretionary annual bonus
• discretionary stock-based long-term incentives (eligibility may vary based on role)
• paid time off