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Strong global brand, metro role, and mid-level AI delivery scope increase candidate competition.
Role requires AI delivery experience and domain fluency tying candidates to enterprise finance and tech environments.
Explicit 3-8 years and mandatory AI delivery experience with Agile requirements make filters moderately strict.
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Lead end-to-end delivery of AI, Machine Learning, and Generative AI initiatives, ensuring alignment with business and strategic objectives.
Develop and manage delivery plans, coordinate cross-functional dependencies, and drive timely release of high-quality product increments.
Champion Agile delivery practices, facilitate sprint ceremonies, and maintain stakeholder communication including risk management and delivery status updates to senior leaders.
3-8 years of experience leading AI, Machine Learning, or Generative AI initiatives within complex enterprise environments.
Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related discipline; business degrees accepted with relevant technical experience.
Strong expertise in Agile methodologies (Scrum, Kanban) and Agile tools (Jira, Confluence).
Preferred professional certifications such as PMP, Scrum Master, SAFe, or AWS Certified Cloud Practitioner.
Experienced in managing product backlogs and aligning scope, timelines, and quality across multiple teams in AI/ML delivery.
Able to work cross-functionally with product, engineering, data science, and analytics teams in a global environment.
Skilled in proactive risk identification and mitigation in AI product delivery, with exposure to enterprise-scale AI deployments and data science workflows.