GBS AI Accelerator Data Engineer, GenAI POCs as a Service

What do you call it when 3 billion people use your products in a single day? We call it just a normal day!

We see big potential in life’s little moments. Brushing teeth. Washing hair. Showering. Shaving. Caring for the baby. Cleaning the house. Doing the dishes, and the laundry. We make the products that help make these moments a little easier.

Procter & Gamble is a global company. We are the largest company in the world in the Fast Moving Consumer Goods (FMCG) industry. We manufacture over 60 brands (such as Gillette, Pampers, Ariel, Pantene, Old Spice, Blend-a-Med, Bonux, Head&Shoulders, Always, Fairy) to nearly 5 billion customers, competing in 160 marketplaces. More than 130 000 employees in more than 80 countries worldwide work every day to provide products of superior quality and value to the world's consumers.

Technical:

Programming in Python and SQL. Experience with NoSQL Databases;

Cloud technologies, preferably Azure ML and / or Vertex AI.

Analyzing large data sets from multiple data sources.

Not mandatory, but preference given to candidates with experience in frameworks such as Langchain and/ LLamaIndex, Vector Databases

Strong interest in Data and Applied AI for Text, Video and Image

Other skills:

Agility to adapt to new priorities and learn new technologies & methodologies.

Effective communication (oral and written) and problem-solving skills.

Work process oriented and attention to detail is necessary.

Ability to work independently with multiple stakeholders at different geographies and levels in the organization.

Strong leadership and relationship management skills. Ability to lead and influence others to achieve a common goal

Knowledgeable and experienced in operating in an agile dev ops model/ approach is good, but not required.

In this role, you will transform, evolve and expand GBS GenAI capability blueprints. Generative AI (Chat-GPT like) will transform our Shared Service operations in the next years. We are looking for the leader to drive that transformation via data integrations, while also keeping the current levels of excellence on the operations intact.

The GBS AI Data Engineer holds responsibility for the ultimate success of our GBS AI Blueprints when it comes to data integration. Is accountable for understanding what users want, setting the solution strategy and roadmap, and guiding a cross functional team to ensure the solution delights users and maximizes business results via the application of Data strategies to solve wicked business problems for OU’s and Regions.

We are looking for a strong leader with an entrepreneurial heart, a mind for service delivery, and the heart to build effective and collaborative partnerships that translates to a seamless experience for the GBS internal customers (Service Line Accelerators) and external partners.

Responsibilities:

As the GBS AI Accelerator Data Engineer, you will be responsible for:

Leading innovation and defining roadmaps for the GBS AI Blueprints integration with Data

Lead trainings for our GBS AI Blueprints Integrations

Drive improvements in the Data Integrations for the GBS AI Blueprint POCs

Build large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support GenAI business applications as part of our POC as a Service

Develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.

Write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities.

Collaborate with Data Science team to transform data and integrate algorithms and models into automated processes.

Test systems and troubleshoot malfunctions; leverage knowledge of Data architecture to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards.

Becoming part of P&G, you will benefit of:

Competitive salary package, annual bonus and vacation bonus

Private medical insurance & life insurance & 24 Hours Accident Insurance

Stock Ownership Plan - You have the opportunity to buy P&G shares quoted on the New York Stock Exchange to participate in the profits of the Company and the company will match part of the investments

Flexible working schedule & Hybrid Work from Home/Work from Office option

Meal allowance and access to our private canteen

Sports Program – will allow you to reimburse sport activities

Dental & Glasses Plan - will allow you to reimburse dental and ophthalmological care

Access to a variety of learning and development platforms, including Bookster, LinkedIn Learning, Harvard Business Review etc.

Fresh fruits every day in the office

Employee Assistance Program – confidential expert guidance and specialist support on any work, wellbeing, emotional, financial, physical or family issue.

About us:

We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivalled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.