Tech Stack

Description

You will orchestrate delivery across three squads building AI models and a centralized AI hub, collaborating with data scientists, engineers, and product managers to adapt agile practices for research-heavy workflows.

Requirements

• 2-4 years of experience as an Agile Delivery Lead, Scrum Master, or similar role supporting software engineering or data science teams
• Hands-on experience with Jira for managing backlogs, epics, stories, and reporting
• Exceptional organizational skills with proven ability to manage multiple priorities
• Strong written and verbal communication skills; ability to translate between technical and non-technical audiences
• Understanding of agile principles and practices (Scrum, Kanban) with flexibility to adapt methodologies
• Experience working with cross-functional teams including engineers, data scientists, product managers, and designers
• Ability to identify and resolve blockers, manage risks, and escalate appropriately
• Comfort with ambiguity and ability to remain resourceful
• Certified Scrum Master (CSM or PSM I) preferred
• Experience in AI/ML, data science, or research environments a plus
• Bachelor's degree or equivalent experience

Responsibilities

• Facilitate cross-team dependencies and alignment across three squads (two AI Proprietary Models sub-squads and one AI Hub squad)
• Adapt and evolve Agile practices to fit unique workflows of data science, research, and engineering teams
• Manage and maintain Jira boards including stories, epics, and initiatives
• Report on progress, risks, and blockers to leadership and stakeholders
• Facilitate team ceremonies including stand-ups, planning, refinement, and retrospectives
• Partner with Product Managers to ensure sustainable delivery pace
• Act as liaison across teams to align work, manage dependencies, and mitigate risks
• Reduce friction and remove obstacles that slow down delivery
• Champion continuous improvement