Top Data & Analytics Jobs

Data Science Manager role in the Supply Chain & Manufacturing sector at ZS, focusing on developing and executing analytic techniques on large data sets to help clients make fact-based decisions. Responsibilities include leading data science capabilities development, project management, client engagement, business development, team leadership, and thought leadership within projects and across practice areas.

The Data Science Manager at ZS will lead the development of data science capabilities for solving problems in the Supply Chain & Manufacturing space, drive AI programs, engage with senior clients, contribute to new business opportunities, and provide thought leadership within projects.

Drive growth in Clinical Technology business by selling and delivering bespoke technology solutions for Clinical functions in Pharma and Biotech companies. Manage client relationships, develop new relationships, and generate new business engagements in the Business Technology group focused on Clinical Development.

Data Science Manager responsible for driving analytics and AI-enabled solutions in the Supply Chain & Manufacturing space. Engages with clients, leads projects, recruits team members, and provides thought leadership.

Play a key role in development of data science capabilities for solving problems in the life sciences Supply Chain and Manufacturing (SC&M) space and development of offerings that create scale and advance our analytic platform. Drive parallel SC&M AI programs through effective large-scale project management. Engage with senior client leaders to deliver value through transformative solutions. Contribute to new business opportunities. Drive business and strategy development through project delivery and client relationship management. Motivate, coach and serve as a role model for project team members. Recruit new team members as needed. Own responsibility for work product quality and relevance to client decisions. Establish or maintain ongoing client relationships with key decision makers that drive new business development. Provide thought leadership and innovation within projects and across practice areas. Support development of firm capabilities and offerings (recruitment, training, internal initiatives).

Develop and apply advanced statistical models to help clients understand business issues. Leverage analytic techniques to guide decision-making. Design custom analyses and communicate results to clients. Mentor team members and contribute to problem-solving.