Interface between Customer and Technical Team (Hardware / Software & Data Science Team)

Collaborate with Software Engineering and Data Science team to drive Customer Success and Product Deployments

Be the Scrum Master and drive cross functional Pod of Data Science, Machine Learning, Hardware , Software Engineers for rapid and flawless execution.

Spend the day around Planning , Prioritize and Tracking the activities of the POD of Data Science, Machine Learning, Hardware , Software Engineers team

Drive Technical Problem and Practical trouble Shooting of Engineering and Data Science Team

Required Skills & Experience:

Graduate from a Tier 1 college preferred with 3-8+ years of overall experience

Client handling experience from a top-tier consulting background (Accenture, EXL, PwC,

Strategy&, and A.T. Kearney or equivalent) or from ITC / P&G/HUL or AI SaaS based

organization comfortable owning a senior stakeholder relationship from day one.

Strong problem-solving mindset with a track record of taking ownership of ambiguous, high impact challenges in complex operational or customer environments.

Demonstrated end-to-end ownership — has independently driven a deployment, project, workstream, or customer engagement from problem definition through implementation and measurable outcomes.

Strong communication and stakeholder management skills — able to work credibly with plant teams, business leaders, technical teams, and customer C-suite stakeholders.

Comfort with ambiguity and field execution — genuinely excited to work closely with customers, understand on-ground operational challenges, and adapt solutions based on evolving business and deployment needs.

High bias for action and execution — willing to work hands-on at customer sites, collaborate across Product, Engineering, Data Science, and Business teams, and drive deployments to successful outcomes.