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Strong Tier-1 brand and Bangalore metro increase competition, but seniority and data/ML delivery focus moderate density.
Agile and delivery skills transferable, but data science/MLOps and regulated financial context increase industry specificity.
Explicit 8+ years requirement, domain-specific data/ML delivery experience, and preferred SAFe certification increase filtering.
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Own end-to-end delivery orchestration for multiple Agile squads focusing on Data Science and platform initiatives, managing milestones, timelines, and success criteria.
Facilitate Agile ceremonies and coordinate across cross-functional teams including Data Science, Engineering, QA, Product, and Operations to manage dependencies, risks, and impediments.
Drive delivery through sprint and release planning, ensuring governance adherence, delivery transparency, and smooth transition through testing, UAT, go-live, and BAU phases.
8+ years total experience with 5+ years in Agile delivery roles including Scrum Master in enterprise environments.
Experience delivering Data Science, Analytics, or platform initiatives with technical understanding of Agile frameworks and DevOps practices.
Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics, or related technical field, or equivalent professional experience.
Use of Agile project management tools such as Jira or Azure DevOps; Not explicitly mentioned: Notice period.
Demonstrated ability to lead multiple teams using Scaled Agile Frameworks (preferably SAFe) in complex, regulated environments such as financial services.
Strong coordination skills to manage cross-team dependencies, risks, and stakeholder alignment in data/platform-focused delivery contexts.
Experience coaching teams to Agile maturity and driving continuous improvement with a focus on Data Science workflows, MLOps, and CI/CD integration.