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The Health Plan Digital Advisory Principal will lead client relationships and business development focused on digital solutions in the health plan sector. Responsibilities include ensuring project delivery, team management, providing coaching, and staying updated on industry trends while fostering an innovative environment.
As an Associate Principal, you will lead business development and client relationships in the health plan digital solutions sector, manage client engagement, and drive innovative solutions while mentoring teams. You will stay updated on industry trends and foster an inclusive work environment.
The Health Plan Analytics and Insights Manager will lead client business development and manage relationships within the health plan sector, while leveraging knowledge of industry trends. The role involves guiding teams, providing feedback, and fostering an inclusive work environment, ensuring client satisfaction and effective communication among stakeholders.
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The Health Plan Digital & Technology Manager will lead client relationships and business development, provide digital and tech solutions, and manage teams within the health plan consulting sector. The role requires strong analytical skills and executive-level communication, along with fostering an innovative work environment and keeping stakeholders informed.
The Head of Microsoft Alliance at ZS is responsible for driving and executing the ZS-Microsoft strategic partnership, focusing on sales growth and go-to-market strategies. This role involves engagement with Microsoft teams, building relationships with sales leaders, and overseeing joint initiatives to ensure customer success and revenue targets are met.
Drive solutions and services across clients, focusing on sales, revenue, and operational aspects while delivering high-quality client services within timelines and budgets. Lead practice growth through business development and talent management.
The Regional Manager - Sales is responsible for generating sales and building client relationships in Enterprise organizations. This includes identifying, qualifying, and closing partnerships, conducting presentations and demos, and managing customer relationships to ensure satisfaction and growth.
The Product Data Scientist will lead client engagements, develop advanced analytics processes, translate client needs into data science models, and use problem-solving frameworks and analytical tools to identify insights and optimize business solutions.
As an Applied AI Scientist at ZS, you'll develop advanced algorithms, execute data mining techniques, evaluate datasets and technologies, and contribute to the firm's thought leadership in analytics and machine learning.
As a Machine Learning Engineer, you will build and scale ML model pipelines, implement MLOps, write production-ready code, and collaborate with clients and global teams to deliver AI solutions. You will also engage in research to evaluate new architecture patterns and technologies.
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