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Title:  Information Analytics (IA) Data Manager

Job ID:  18721
Country:  Spain
City:  Madrid
Professional area:  Information Technology
Contract type:  Permanent
Professional level:  Experienced

JTI is a leading international tobacco company with operations in more than 120 countries. We’re the global owner of world-renowned brands such as Winston, the number two cigarette brand in the world, and Camel (outside the US). Our global brands also include Mevius, LD and Natural American Spirit, and we manufacture the internationally recognized Logic e-cigarette brand and Ploom Tech, a major brand in the heated tobacco category. 
Headquartered in Geneva, Switzerland, we employ over 40’000 people across the globe. We were recently awarded Global Top Employer for the fourth consecutive year with regional Top Employer Certification in Europe #1, Asia #1, North America #1, Africa #2 and Middle East #3. This is recognition of our outstanding talent strategy, energizing culture and commitment to learning and development. 
We are a member of the Japan Tobacco Group of Companies. For more information visit  



The IA Data Manager within the Advance Analytics Team will focus on enriching JTI’s internal data, with other available data (i.e. open source) through the application of advance data preparation technics, such as vectorization, feature engineering and data imputation leveraging complex algorithms.

He/she needs to be familiar with database systems, their interfaces and query languages, and know how to source data and design data integration processes, build and maintain data models for analytics, and are able to prepare data so it is ready for data scientist and analysts to perform their work.
Ensures data is properly received, transformed, stored, optimized and made accessible to others.

He/She works with key stakeholders from the business to identify the critical business requirements and with the Information Architect to determine if the data currently exists or can easily integrated. Where new data is required they will work with the business to ensure that they have a clear understanding of what the vendors are offering.

The IA Data Manager will make sure data needed meets the minimum level of requiremnts needed to perform any Data Science proof of concept and any needed intergration technuque is in line with Enterprise Architecture standards.

Will stay informed of what data/sourcing solutions are available (e.g. for social media, IoT, Big Data, Open source) and will research suppliers and markets establishing a new asset of information that can be used to support data discovery activities, predictive analytics, advanced modeling.




Data Preparation and Enrichment

  • Responsible for scouting Open source and External Data providers that can contribute to JTI data enrichment to be fully leveraged for data science and advanced analytics purposes.
  • Will look to consolidate existing sources across functions and geographies to leverage economies of scale and facilitate data access.
  • Will help defining the standards for the storage and manipulation of external data within JTI and explore third party suppliers providing ‘big data’ solutions.
  • The External Data Manager will closely work with the data science team to make sure data are made available with the right level of quality and manipulation to speed up the creation of data science and artificial intelligence models.


Continuous Improvement
Through the application of advance data preparation technics, such as vectorization, feature engineering, data correlation and data imputation through complex algorithms contribute positively to JTI's Data data quality objectives, helping stakholders to understand where the dependency on Global Data Suppliers can be reduced or complemented.


Market Knowledge

Will stay informed of what data/sourcing solutions are available (e.g. for social media, IoT, Open Source, Big Data) and will research suppliers and markets, and maintain a broad understanding of the commercial environment, to inform and develop commercial strategies and sourcing plans in line with business goals


Communication and Collaboration
• Must work in collaboration with functional teams to understand requirements (globally and locally) and investigate external and open source data availablity accordingly.
• Will work with relevant stakeholders and Enteprise architecture to develop and approve the business case (cost/benefits) of new open source data ingestion focused on the enriching of JTI’s internal data
• Work with the information architect to determine which standards should be applied for data integration and access.


Training and Support
Working with Business teams to ensure key business users are educated and trained in what innovative sources of external data (i.e. Open Source) is currently available and what external data (and data services) are available to meet business requirements.




University Degree in Economics, Business, Information Management, or Engineering + MBA

• 8+ years of IT and Business professional experience (with relevant industry experience) focusing on developing vendor relationships for the provision of data and associated services multinational FMCG organizations
• Demonstrates creativity, innovation and ethical thinking in applying solutions for the benefit of the customer/stakeholder
• Should have a strong understanding of what data sources/solutions are available and how these can best be utilized by the business.
• Expert on data modelling, ETL, APIs and data preparation.
• Excellent written and communications skills to report back the findings in a clear, structured manner are required
• 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, written, and oral 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

• Fluent in English
• Proficient with computers and Microsoft Office
• Experience working with external data providers and open source crawling techniques
• Proficient in  ETLs (e.g. Power Center, SSIS, ODI)
• Proficient in Data Modeling, Data Warehousing (SQL, Oracle) and Big data (Hive,Hadoop,NOSQL), Data Preparation (Alteryx, Rapid Miner)
• Knowledge of major Enterprise Applications (e.g. Siebel, SAP, Salesforce)

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