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Kite Data & Integration Lead - Sales & Digital

2 Locations💼 Full-time💰 $146,200–$146,200🗓 2026-06-24 → 2026-07-30

Core

Drive AI/data product strategy for Commercial Reporting & Analytics, building production-grade analytics infrastructure on AWS and Databricks to accelerate life-changing therapies.

Role type

Data/AI Product Owner (IT Data & AI CoE)

Builds

Production-grade analytics infrastructure, AI-enabled reporting, planning, and analytics use cases for Kite's Commercial line of business.

Domain

Pharmaceutical commercial analytics (CGT/specialty pharma), AI/ML, Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Product roadmap definition, stakeholder engagement, ML lifecycle management, data pipeline development, agentic AI workflow design, prompt engineering, token economics optimization, model governance, CI/CD implementation, data quality monitoring, system scalability design

Preferred skills

Python, SQL, TypeScript/JavaScript/Go/Rust, Databricks (Spark), Airflow, Tableau, Genie Spaces, AI coding tools (Claude Code, Copilot, Cursor), LLM serving platforms, Veeva CRM, Salesforce, Microsoft 365, ServiceNow APIs, multi-agent orchestration, high-throughput inference, rare disease data handling

Technologies

AWS, Databricks, Spark, Airflow, Tableau, Genie Spaces, GitHub Actions, Docker, HIPAA, GDPR, FDA regulations

Responsibilities

Translate ambiguous commercial needs into prioritized product roadmaps; define success metrics tied to business outcomes; develop and maintain pipelines for model transition to production; design robust batch and streaming data workflows; implement monitoring for model performance, data drift, and service health; decompose complex business workflows into agent-executable workstreams; design prompt architectures and instruction patterns; optimize agent execution for cost efficiency; implement version control and audit trails for AI/ML outputs; collaborate with data scientists and commercial stakeholders; set up testing frameworks for ML models and agent-generated code; coordinate releases and maintain operational playbooks

Seniority

Senior, hands-on IC with strategic product ownership

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