Technical Program Manager & Business Analyst Agentic AI Platform

Required Skills: 7+ years of experience in Technical Program Management, Technical Business Analysis, IT Program Management, or Business Systems Analysis, preferably within pharmaceutical, biotechnology, life sciences, or enterprise technology organizations. Strong understanding of Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), APIs, prompt engineering, AI workflows, and Human-in-the-Loop (HITL) concepts.

Job Title: Technical Program Manager & Business Analyst
Working Model: Hybrid (3-4 days onsite), South San Francsico, CA 94080
Working Days: Monday through Friday
Working Hours: 8 AM to 4:30 PM PT
Interview Format: Two Rounds (1. Hiring Manager [30 minutes]; 2. Upper Management [30 minutes])
Duration: 12 months contract (with possible extension)
Terms: Contract W2

Required Skills:

• 7+ years of experience in Technical Program Management, Technical Business Analysis, IT Program Management, or Business Systems Analysis, preferably within pharmaceutical, biotechnology, life sciences, or enterprise technology organizations.
• Strong expertise in Technical Program Management and Business Analysis, bridging business stakeholders, Product Managers, Data Science/ML teams, and engineering teams.
• Hands-on experience establishing program management frameworks from scratch, including Jira/Confluence structures, RAID logs, dependency tracking, milestone schedules, governance, and status reporting.
• Strong experience in breaking down high-level product epics into detailed user stories, functional requirements, and developer-ready specifications.
• Proficiency in defining testable Acceptance Criteria using Given/When/Then (Gherkin) format.
• Experience coordinating deliverables, dependencies, and timelines across Data Science & Machine Learning (DSML), technology engineering (RDT), and business teams.
• Strong understanding of Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), APIs, prompt engineering, AI workflows, and Human-in-the-Loop (HITL) concepts.
• Ability to translate AI/ML technical capabilities into business requirements, functional specifications, user journeys, and workflow documentation without requiring hands-on coding or ML model development.
• Hands-on experience with Jira and Confluence, along with process mapping tools such as Lucidchart or Miro.
• Familiarity with enterprise content management and Adobe platforms, particularly Adobe Workfront, Digital Asset Management (DAM), Adobe Journey Optimizer (AJO), Adobe Express, and Adobe GenStudio.