Top Tech Jobs & Startup Jobs in Mumbai

Manage government liaison and stakeholder coordination for ECCE program rollout across Maharashtra. Coordinate with state, district, and field officials; secure approvals; oversee project workstreams; support training and workshops; track progress and data; prepare dashboards, reports, presentations, official letters, notes, and briefs; and provide regular updates. The role requires independent leadership, strong communication, government-sector coordination, fluency in Marathi, and knowledge of NEP 2020, Aadharshila, and Navchetana Curriculum.

Leads Rocket Learning’s Maharashtra program management unit, aligning ECCE initiatives with government priorities. Manages relationships with Women and Child Development, ICDS, and district stakeholders; supports policy research, implementation, budgeting, data analysis, documentation, and reporting. Monitors project progress, resolves bottlenecks, coordinates state and district activities, and conducts quarterly field visits to oversee launches and address implementation challenges.

Translate and culturally contextualize English early childhood education curricula into high-quality Bengali for West Bengal and Anganwadi-based implementation. Responsibilities include preserving learning objectives, ensuring accessible language, reviewing accuracy and readability, incorporating stakeholder feedback, and maintaining a standardized ECCE terminology glossary. The consultant will finalize translations and revisions for a 350-page book over a three-month freelance engagement.

Oversee end-to-end post-production for animation and live-action projects, including scheduling, workflow improvement, editing, motion graphics, sound design, color grading, and final quality review. Translate creative briefs and behavior-change objectives into engaging video content while ensuring alignment with audience insights, project goals, and technical standards. Introduce efficient tools, including AI-assisted post-production solutions, across concurrent projects.

Designs, builds, evaluates, and deploys machine learning, deep learning, and LLM-based systems. Owns the end-to-end data science lifecycle, including problem definition, deployment, monitoring, reproducible pipelines, model validation, drift detection, and experiment tracking. Collaborates with product and domain teams to develop modeling strategies and improves system performance, reliability, documentation, and processes.

Analyze user engagement, retention, cohort, funnel, and A/B testing data to identify product opportunities. Build Tableau dashboards, write SQL queries, and use Alteryx for automated data pipelines and recurring reporting. Partner with Product, Program, Data, and Engineering teams to define metrics, measure feature impact, improve data quality, and communicate actionable recommendations to technical and non-technical stakeholders.