Enterprise AI Value Strategy Manager
The key responsibilities may include:
Strategic and structured thinking: Understand and digest strategic agenda of clients’ ask and breakdown business problems with logic structure.
Client Engagement: Be able to face clients’ management and leadership team to understand their business objectives, challenges, and opportunities in leveraging data and digital technologies for competitive advantage.
Industry knowledge: Be familiar with healthcare (pharmaceutical or medical device) and consumer goods industry from either consulting project experience or corporate in-house experience.
Team leadership: Own the experience to lead teams to deliver consulting or in-house projects. Understand how to organize the delivery of a consulting project, e.g. timeline, deliverable description, team set-up, milestone set-up.
Solution Design: Design tailored solutions that address client needs and deliver measurable business outcomes, leveraging your expertise in data analytics, AI/ML, and digital transformation.
Data Analysis: Conduct in-depth analysis of complex datasets to derive actionable insights and recommendations, utilizing tools such as Python, R, SQL, and visualization libraries.
Model Development: Develop predictive models, algorithms, and machine learning pipelines to solve business problems and optimize decision-making processes.
Implementation Support: Work closely with technical teams to ensure successful implementation of solutions, providing guidance and support throughout the deployment process.
Thought Leadership: Stay abreast of industry trends, emerging technologies, and best practices in applied intelligence, contributing to thought leadership initiatives and sharing knowledge internally and with clients.
• Bachelor’s / master’s degree in Business, Computer Science, Data Science, or related fields;
• Minimum of 5 years of experience in digital consulting, data analytics, AI or related roles, preferably in the healthcare or consumer goods industries.
• Proficiency in written and speaking English in working environment. • Experiences and proven record in senior client dialogues.
• Experience in programming languages such as Python
• Strong understanding of data manipulation, statistical analysis, and machine learning techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI) and relational databases (e.g., SQL Server, PostgreSQL).
Shanghai
Beijing
Dalian
Guangzhou
Hong Kong
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