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The Advisory Manager will lead engagements with clients on strategic business decisions and organizational transformations. Responsibilities include building client relationships, delivering analytical insights, and providing team guidance. The role requires effective communication with senior executives and the ability to innovate solutions without clear problem statements.
As Head of Microsoft Alliance, you will manage and grow the strategic partnership with Microsoft, overseeing revenue targets and working with cross-functional teams to execute go-to-market strategies. This leadership role involves building relationships with sales teams and clients to promote collaboration and ensure customer success.
The Technology Principal will lead client business development and delivery engagements in the pharmaceutical and biotech sectors, focusing on developing technology solutions and managing client relationships. This role requires collaboration with leadership and the ability to drive growth in the R&D Technology business.
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The Head of Content & Creative at ZS is responsible for developing and executing the creative strategy for the brand. This role involves leading a team of over 25 individuals, ensuring alignment with company objectives, enhancing creative quality of promotional assets, and integrating AI and outsourcing to extend capabilities. The director will also work closely with internal clients to translate their requirements into original ideas that resonate with target markets.
The Product Data Scientist (Senior Customer Success Lead) is responsible for end-to-end delivery of analytics solutions, translating client requirements into data science models, and developing advanced analytics processes. They engage with clients to provide insights and optimize business strategies using cutting-edge technology and data-driven approaches.
The Applied AI Scientist will develop advanced algorithms for large datasets, execute statistical analyses, evaluate emerging technologies, and contribute to thought leadership in analytics at ZS.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, and collaborate with global teams to deliver projects. You'll also research and evaluate new technologies and maintain high-quality deliverables.
The Decision Analytics Manager will lead business development and project delivery within the Supply Chain & Manufacturing space, focusing on industries such as Life Sciences and Consumer Products. Responsibilities include collaborating with internal leaders for new business opportunities and developing methodologies and products to enhance client solutions.
The Decision Analytics Manager will leverage data analytics and problem-solving techniques to drive business development and project delivery. This role requires collaboration with internal leaders and account teams, focusing on developing methodologies and products for improving supply chain effectiveness in various industries.
The Associate Principal will lead digital customer experience innovations and large-scale digital transformation programs in the healthcare industry. Responsibilities include managing content transformation initiatives, driving new sales for content supply chain programs, and advancing partnerships related to AI-driven content solutions.
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