A.I. Expert Manager
The A.I. Expert Manager role is at the forefront of leading Data Science and Artificial Intelligence initiatives across multiple business functions, including but not limited to Supply Chain, Marketing & Sales, Consumer Care, GRRP, and Finance. This position is instrumental in harnessing the potential of vast datasets to enhance process efficiency and forecasting and to drive smarter management decisions across these diverse areas leveraging the latest in Machine Learning and AI models.
The role needs a combination of business focus, strong analytical/statistical and problem-solving skills. The candidate understands statistical, econometric and machine learning methods to classify, cluster, segment and predict complex questions. With a deep understanding of the business levers, you will collaborate with other business functions, data analyst, data engineers and data strategists to specify and drive data opportunities, as well as work with AI providers to source or develop the necessary A.I. capabilities, provide actionable insights and recommendations.
Position:
Work with other business functions, data analysts, and data strategists to identify and propose advanced analytical opportunities with a special focus on customer and consumer experience.Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes.Collaborate with other business functions and markets to select the relevant sources of information.Define the validity of the information, how long the information is meaningful, and what other information it is related to.Define the data quality standards in the context of the specific initiatives.Identify and qualifies where information can be stored or what information, external to the organization may be used in support of the data initiative.Identify in collaboration with data analysts the main features and business drivers needed to optimize the model.In collaboration with data analysts and data strategists, identify and collect data from all kinds of different sources such as web APIs, internal database, external customer databases, and so on.Use algorithms to efficiently go through large datasets and apply treatments, filter and condition to internal and external data.
Requirements:
University Degree in Data Science, Economics, Statistics, Applied Math, Physics, Operations Research, Engineering or a related field.6-8 years of Business professional experience (with relevant industry experience) focusing on data science and advanced analysis across multinational organizations.Must be able to present back findings to business leaders by exposing assumptions and validation results in a way that a non-scientific audience can easily understand.Excellent written and communication skills to report back the findings in a clear, structured manner are required.Proactive mindset for identifying business problems on their own and proposing, strategizing and implementing data-based solutions delivering added value.Strong interpersonal skills and ability to identify and collaborate with key stakeholders across functions.Solid knowledge and understanding of the business and organization.Strong organizational, analytical, and decision-making skills.Ability to anticipate and solve problems.Proven change management skills and experience.Fluency in English is mandatory.
What to expect:
Expect well-being initiatives, flexible work arrangements, growth opportunities, and excellent benefits, including a unique family leave policy. For more details on local policies, speak with the Talent Advisor.