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A.I. Expert Manager

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Manila

AI generated summary

  • You need a degree in a relevant field, 5+ years' experience in data science, proficiency in Python, SQL, and cloud platforms, plus strong communication and problem-solving skills.
  • You will implement data science solutions, identify relevant data, collaborate with teams, develop tailored AI solutions, ensure data quality, and educate leaders on analytical approaches.

Requirements

  • Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Applied Math, Engineering or a related field Advanced degree preferred.
  • 5+ years of Business professional experience (with relevant industry experience) focusing on data science and advanced analysis across multinational organizations
  • Proven experience working with Python and mastering SQL.
  • Knowledge of major cloud computing platforms (i.e. Microsoft Azure)
  • Knowledge of major Big data storage (i.e. data lake), analytical engines (i.e. Spark), and API management for model consumption.
  • Experience working with Git and knowledge of branching strategies
  • Mastering common supervised and unsupervised Machine Learning techniques, as well as forecasting techniques
  • Proficiency on working with structured and unstructured (i.e., textual or visual) data sources
  • Knowledge of Deep Learning methods and Generative AI techniques
  • 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 an data science techniques for clustering, predicting and classifying.
  • Knowledge and experience in Natural Language Processing techniques, including sentiment analysis, text classification or topic modeling, will be a plus
  • 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
  • Have strong interpersonal management skills and ability to operate in indirect/remote teams
  • Demonstrable experience in presentation, verbal and written communication skills with the ability to articulate complex ideas in easy to understand business terms to technical and business stakeholders
  • Strong organizational, analytical, and decision-making skills
  • Ability to anticipate and solve problems
  • Energetic, innovative, and flexible

Responsibilities

  • Implements Data Science opportunities across different functions
  • Works with other business functions, data analysts, and data strategists to identify and propose advanced analytical opportunities with a special focus on solutions based on Generative AI.
  • Identifies what data is available and relevant, including internal and external data sources, demonstrating new data collection processes.
  • Collaborates with other business functions and markets to select the relevant sources of information.
  • Partners with external providers of data and data science A.I. to develop tailored solutions for:
  • enrich, segment, and profile data
  • predict forecast for better planning
  • classify data for process efficiency
  • improve machine predictive maintenance and parameter tuning
  • enhance consumer and customer experience
  • improve the employee experience
  • mine, track, and analyze consumer opinion and sentiment to inform cross-functional strategies
  • Defines the validity of the information, how long the information is meaningful, and what other information it is related to.
  • Defines the data quality standards in the context of the specific initiatives.
  • Identifies and qualifies where information can be stored or what information, external to the organization may be used in support of the data initiative.
  • Identifies in collaboration with data analysts the main features and business drivers needed to optimize the model.
  • In collaboration with data analysts and data strategists, identifies and collects data from all kinds of different sources such as web APIs, internal database, external customer databases, and so on.
  • Uses algorithms to efficiently go through large datasets and apply treatments, filters and conditions to internal and external data.
  • Processes, cleanses, and verifies the integrity of data used for analysis.
  • Present and depict the rationale of the findings in easy to understand terms for non-scientific audience.
  • Provides on-going tracking and monitoring of performance of decision systems and statistical models.
  • Ensure key business leaders are educated in new approaches, such as testing hypotheses and statistical validation of results. Helps the organization understand the principles and the math behind the process to drive organizational agreement.
  • Provides business metrics for the overall data initiative to show improvements.

FAQs

What is the primary focus of the A.I. Expert Manager role at JTI?

The primary focus of the A.I. Expert Manager role is to work on Data & Analytics initiatives that drive strategic decision-making and deliver actionable insights across multiple business functions, including Supply Chain, Marketing & Sales, Consumer Care, GRRP, and Finance.

What qualifications are required for the A.I. Expert Manager position?

Candidates should have a Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Applied Math, Engineering, or a related field, with advanced degrees preferred. Additionally, 5+ years of business professional experience in data science and advanced analysis is required.

Is experience with machine learning necessary for this role?

Yes, candidates must have proven experience with supervised and unsupervised machine learning techniques, as well as familiarity with advanced analytic skills and statistical approaches.

What programming languages and tools should candidates be proficient in?

Candidates should be proficient in Python and SQL and have knowledge of major cloud computing platforms like Microsoft Azure. Familiarity with big data storage solutions, analytical engines, and Git is also essential.

Will the A.I. Expert Manager interact with other business functions?

Yes, the A.I. Expert Manager will collaborate with other business functions, data analysts, and data strategists to identify and propose advanced analytical opportunities.

Is knowledge of Generative AI techniques required for this position?

Yes, candidates are expected to have exposure to Generative AI techniques and solutions, as well as the ability to develop tailored solutions for various business needs.

What kind of data sources will the A.I. Expert Manager work with?

The A.I. Expert Manager will work with a variety of data sources, including internal and external databases, web APIs, and other data collection processes to enrich and analyze data.

What soft skills are considered important for the A.I. Expert Manager role?

Strong interpersonal management skills, excellent written and communication skills, creativity in problem-solving, and the ability to present findings to a non-scientific audience are essential soft skills for this position.

What key metrics will the A.I. Expert Manager be responsible for tracking?

The A.I. Expert Manager will provide business metrics to illustrate the improvements of data initiatives and will be responsible for ongoing tracking and monitoring of performance for decision systems and statistical models.

What is the application process for the A.I. Expert Manager position?

The application process involves submitting an application, followed by a phone screening with a Talent Advisor, assessment tests, interviews, and potentially an offer. Each step is eliminatory and may vary by role type.

Manufacturing & Electronics
Industry
10,001+
Employees

Mission & Purpose

We are JTI - Japan Tobacco International - and we believe in freedom. We believe the possibilities are endless when you are free to choose. In fact, we have spent the last 20 years innovating, creating new and better products for our consumers to choose from. This is how we have grown to be present in 130 countries. But our business is not just business. Our business is our people. Their talents. Their potentials. We believe that when our people are free to be themselves, to grow, innovate and develop, amazing things happen for our business. At JTI, we believe that a diverse and inclusive environment is fundamental to generate innovation and achieve amazing results. And, because of this, all applications are considered without distinction of race, gender, disability, nationality, religion, sexual orientation, age or any other. We don't expect anyone to feel they have to change to fit in. At JTI, we respect you and your choices, and here you are free to think what you want. So if you don't want to fit in, JTI is for you. Sure, work is important, but at JTI family and our relationships come first. We support you, while you work, so you can support the people who matter. That's why our employees, from all over the world, choose to be part of JTI. It's why 9 out of 10 would recommend us to a friend. It's why we've been certified globally as a Top Employer for eight consecutive years. So when you're ready to choose a career you'll love, at a company you'll love, feel free to join us. #JoinTheIdea.