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Consulting-Digital Strategy Manager-Data&AI

Shanghai Job No. 12487504 Full-time - On-Site

Job Description

1. Strategic and structured thinking Understand and digest strategic agenda of clients ask and breakdown business problems with logic structure.
2. Client Engagement Collaborate with client stakeholders to understand their business objectives, challenges, and opportunities in leveraging data and digital technologies for competitive advantage.
3. Industry knowledge Be familiar with healthcare pharmaceutical or medical device and consumer goods industry from either consulting project experience or corporate in house experience.
4. 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.
5. 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.
6. Model Development Develop predictive models, algorithms, and machine learning pipelines to solve business problems and optimize decision making processes.
7. Implementation Support Work closely with technical teams to ensure successful implementation of solutions, providing guidance and support throughout the deployment process.
8. 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.

Qualifications

Basic Qualifications:

  • 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, 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).

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