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Tier-1 employer, mid-level role, metro location, and generalist Scrum Master profile increase competition.
Agile and Scrum skills are transferable, but AI and biotech context adds moderate domain specificity.
Specific 5–9 years requirement and mandatory Scrum certification tighten filters.
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Lead and facilitate all key Agile ceremonies including sprint planning, daily stand-ups, retrospectives, and backlog refinement to drive collaboration and delivery within AI product teams.
Coach and guide teams on Agile principles and Scrum practices to improve maturity, velocity, and delivery of business outcomes.
Monitor progress, remove impediments, manage risks and dependencies, and foster continuous improvement and DevOps culture across teams and ART-level planning.
Bachelor's or Master's degree in Computer Science or Engineering.
5 to 9 years of relevant experience in Agile/Scrum environments.
Certified Scrum Master, SAFe Scrum Master, or equivalent certification is mandatory.
Experience with Agile project management tools such as Jira, Confluence, and Jira Align.
Experienced in scaling Agile practices within cross-functional, global teams especially in AI and data platforms.
Proficient in Scrum and Agile metrics, with a strong ability to facilitate and communicate across technical and business stakeholders.
Comfortable with software development lifecycle concepts and fostering DevOps and automation within Agile teams.