Top Tech Jobs & Startup Jobs in Mumbai

The role involves leading data visualization strategies, managing a team, delivering dashboards, and partnering with stakeholders in analytics and decision-making.

The Manager, Data Engineering will lead the development of analytics solutions for media marketing, focusing on data integration and collaboration across teams to optimize business objectives.

Lead the analytics team in delivering field force sizing, territory alignment, and commercial ROI analytics while influencing senior stakeholders. Oversee advanced modeling and ensure analytical rigor across initiatives, develop best practices, and align analytics with commercial strategies.

Manage the development of data solutions for AI and analytics, focusing on data modeling, pipeline creation, and statistical analysis to support business intelligence in the pharma sector.

As a Senior Manager, Analytics Developer, you will lead the development of data solutions for AI and advanced analytics, executing data strategies, and managing data pipelines, ensuring high performance and compliance.

The Sr. Manager, Compensation & Benefits Lead designs and implements compensation frameworks, influences senior leaders on strategic compensation matters, drives market benchmarking, ensures compliance, and utilizes analytics for insights.

Lead the development of scalable AI solutions for the International Commercial business, integrating software engineering and data science practices. Mentor junior members, oversee AI application development, and communicate insights to stakeholders to support data-driven decision-making.

The Senior Manager, Program Management will lead large-scale AI initiatives, coordinate cross-functional teams, manage project portfolios, and communicate with leadership to achieve measurable business value.

The Manager, Quality - Business Data Engineer will lead data governance and management, support AI/ML initiatives, and ensure compliance in data solutions while collaborating with various stakeholders.

The role involves leading product management for data science and AI initiatives, defining roadmaps, engaging stakeholders, and driving adoption of AI products across teams.