Title:  A.I. Expert Manager

We are JTI, Japan Tobacco International, and we are present in 130 countries. We have spent years innovating, creating new and better products for the consumers to choose from. This is our business. But not only. Our business is our people. Their talent. Their potential. We believe that when they are free to be themselves, and they are given the opportunity to grow, travel and develop, amazing things can happen.

That’s why our employees, from around the world, choose to be a part of JTI. It is why 83% of employees feel happy working at JTI. And why we’ve been awarded Global Top Employer status, nine years running. 

So when you’re ready to choose a career you’ll love, in a company you’ll love, feel free to #JoinTheIdea. 

Learn more: jti.com

A.I.  Expert Manager

What this role is about?

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, with a pivotal focus on Consumer Centricity. 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 and strong analytical/statistical and problem-solving skills. You need to understand 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 analysts, 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 and provide actionable insights and recommendations. In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized models and computing environments, and communicating results.

What will you do?

Explore Data Science opportunities across different functions

• 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
• Partner with external providers of data and data science A.I. to develop tailored solutions

Data Preparation and Feature Engineering

• 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 qualify 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

Data Mining and Analysis

• In collaboration with data analysts and data strategists, identify and collect data from all kinds of different sources such as web APIs, internal databases, external customer databases, and so on. (This will involve extending JTI’s data with second and third-party sources of information when needed)
• Use algorithms  to efficiently go through large datasets and apply treatments, filters, and conditions to internal and external data
• Process, cleanse, and verify the integrity of data used for analysis
• Present and depict the rationale of the findings in easy-to-understand terms for a non-scientific audience
• Provide ongoing tracking and monitoring of the performance of decision systems and statistical models

What are we looking for?

• 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
• Should be passionate about challenging prediction problems, finding insights in data, and applying your conclusions to drive clear and practical business impact.
• Should be a creative thinker and propose innovative ways to look at problems by using data mining (the process of discovering new patterns from large datasets) approaches on the set of information available and data science techniques for clustering, predicting, and classifying
• Proven experience in successfully leading diverse teams composed of Data Scientists and other data professionals
• 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
• Excellent listening, and communication skills
• Strong organizational, analytical, and decision-making skills
• Ability to anticipate and solve problems
• Energetic, innovative, and flexible
• Proven change management skills and experience

What are the next steps – Recruitment Process:

Thank you very much for your interest in the role. You are welcome to apply. Feedback will be provided to all interested candidates throughout the recruitment process.