Technical Program Manager & Business Analyst (Contractor) Agentic AI Platform

Lancesoft; South San Francisco (CA); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Lancesoft seeks an adaptable Hybrid Technical Program Manager & Business Analyst to lead the setup, tracking, and requirements infrastructure for the Agentic AI Platform under the Content Composer project, coordinating with DSML and RDT teams across US and Global groups.

You will establish Jira/Confluence structures, write detailed user stories with acceptance criteria, and draft BRDs/PRDs while mapping dependencies across the Adobe stack and other AI tools, ensuring timely delivery in a hybrid

Qualifications

• 5+ years experience in combined functional-technical TPM/BA roles across software, digital transformation, content systems, or AI initiatives.
• Experience standing up program tracking, backlog management, and governance frameworks from scratch.
• Ability to track deliverables across technical teams (DSML, RDT) and bridge US and global teams.
• Proficiency in elaborating epics into granular user stories with acceptance criteria and process mappings.
• Exposure to the Adobe ecosystem and Generative AI concepts.
• Experience with Agile delivery frameworks.

Responsibilities

• Set up program management frameworks, Jira/Confluence structures, RAID logs, and status reports from scratch.
• Track milestone schedules and cross-team delivery dependencies across DSML, RDT, engineering, and stakeholders.
• Decompose epics into detailed user stories with testable acceptance criteria.
• Draft BRDs, PRDs, and process blueprints with as-is/to-be flows.
• Document functional requirements for agentic AI workflows in coordination with DSML teams.
• Map functional requirements across Adobe stack, VVPM, and other tools.

Skills

PM/BA dual role

Program setup from scratch

Cross-team coordination

Requirements drafting

Agile methodologies

Domain AI exposure

Scrum/Kanban experience

Tools

Jira

Confluence

Lucidchart

Miro

RAID logs

Job description

We are seeking an adaptable Hybrid Technical Program Manager & Business Analyst (7+ years experience) to support the setup, tracking, and requirements infrastructure for an overarching Agentic AI Platform. Content Composer is the anchor project under this platform umbrella, with additional AI modules following. In this contractor role, you will establish program tracking frameworks from scratch, assist in monitoring timelines, author detailed user stories from product epics, and conduct system research. You will play a key role in tracking delivery dependencies across collaborating technical teams including DSML (Data Science & Machine Learning) and RDT (*** Digital/Diagnostics Technology) while bridging functional alignment between local US teams and *** Global teams.

Key Responsibilities

• Program Standup & Cross-Team Tracking Setup from Scratch: Establish program management frameworks, Jira/Confluence structures, RAID logs, and status reporting templates from zero.
• Delivery & Dependency Tracking: Track milestone schedules and cross-team delivery dependencies across collaborating units (DSML, RDT, engineering, and business stakeholders).
• Requirements & Agile Documentation Epic Decomposition & Story Authoring: Take high-level epics defined by Product Managers and detail them into comprehensive user stories;provide clarity and guidance on testable Acceptance Criteria (Given/When/Then) to ensure developer readiness.
• Specification Drafting: Draft and refine Business Requirements Documents (BRDs), PRDs, and "as-is/to-be" process blueprints (Lucidchart/Miro) covering user journeys and human-in-the-loop (HITL) review points.
• Agentic AI Specs: Document functional requirements for agentic AI workflows (prompts, context retrieval/RAG, tool utilization, guardrails) in close coordination with DSML teams.
• Ecosystem Integration & System Research Content Stack Integration: Map functional requirements across active platforms: Adobe stack (Workfront, DAM, AJO, Express), VVPM (compliance/MLR routing), Adobe Target/Optimizely.
• System Assessments: Conduct research and feasibility analysis to support requirement drafting for platform assessments involving next-gen Adobe offerings: GenStudio, CX CoWork & Other AI vendors in the content space.

Qualifications & Experience

• 5+ Years Experience: Proven track record in combined functional-technical TPM/BA roles across software, digital transformation, content systems, or AI initiatives.
• Program Setup from Zero: Demonstrated experience standing up program tracking, backlog management, and governance frameworks from scratch.
• XF Collab & Coordination: Proven ability to track deliverables across technical teams (DSML, RDT) and bridge collaboration between local US and global enterprise teams (pharma/life sciences experience is a strong plus).
• Requirements Drafting: Strong expertise elaborating PM-defined epics into granular user stories, defining and clarifying acceptance criteria, mapping process flows (Lucidchart/Miro), and drafting functional specs.
• Domain & AI Exposure: Exposure to the Adobe ecosystem, VVPM, a solid working understanding of Generative AI/agentic concepts.
• Agile Proficiency: Practical experience working within Scrum, Kanban, or hybrid delivery frameworks.

Core Strengths Needed

• Program Setup from Scratch: Proven ability to build Jira/Confluence structures, RAID logs, dependency maps, and status dashboards from scratch.
• Epic Decomposition: Ability to take high-level epics written by Product Managers and flesh them out into detailed, developer-ready user stories with testable Acceptance Criteria (Given/When/Then).
• XF Delivery: Experience tracking deliverables across data science (DSML), technology engineering (RDT), and bridging alignment between local US teams and *** Global teams.
• Domain Familiarity: Hands-on experience or solid working knowledge of the Adobe ecosystem (Workfront, DAM, AJO, Express, GenStudio, CX CoWork), VVPM (compliance/MLR routing), and Generative AI/agentic concepts.

AI Disclosure

This recruitment process will not use automated or AI-enabled tools to assist with application screening and scheduling. All hiring decisions are made by qualified human reviewers.