Overview:
We are seeking a seasoned Techno-functional Program Manager with a strong technical foundation in Data Science. The ideal candidate will have extensive experience in project management, delivery methodologies, and stakeholder management. The role requires working on-site at the customer office in Mumbai, with the delivery team distributed and operating remotely.

Key Responsibilities:

Define and implement Agile cadences. Manage sprints and releases effectively. Collaborate with product owners to define, refine, and prioritize user stories based on clear definitions of "ready" and "done." Set up and maintain releases/sprints in JIRA while overseeing the creation and management of user stories. Coordinate all project activities across multiple stakeholders. Ensure all deliverables meet timelines as committed in the SOW and sprint plans. Provide status reports tailored to multiple stakeholder levels, from granular drill-downs to high-level summaries. Baseline, track, and report on agreed metrics and KPIs, ensuring alignment with project goals. Conduct root cause analyses (RCA) for deviations from commitments or KPIs. Serve as a mentor in Agile processes for both the customer and internal teams. Create and maintain RAID (Risks, Assumptions, Issues, Dependencies) and RACI (Responsible, Accountable, Consulted, Informed) matrices, with regular reporting.

Desired Profile:

Hands-on experience with project management tools and methodologies. Ability to adapt delivery methodologies to align with customer landscapes while incorporating industry best practices. Strong stakeholder management skills, capable of building rapport at all levels. Proven ability to manage distributed delivery teams remotely. Quick learner with the ability to understand and adapt to the customer's domain. Demonstrated success in identifying new business opportunities. Lateral thinker with a focus on quality, innovation, and automation. Previous experience with data-related projects, preferably Data Science projects. Familiarity with cloud environments such as AWS, Azure, or GCP. Basic understanding of Data Science project delivery methodologies.