AI & Data Science Manager

Requisition ID: 72441 

About Whirlpool Corporation

Whirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant
pursuit of improving life at home. As the only major U.S.-based manufacturer of kitchen
and laundry appliances, the company is driving meaningful innovation to meet the evolving
needs of consumers through its iconic brand portfolio, including Whirlpool, KitchenAid,
JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2025, the company reported
approximately $16 billion in annual net sales - close to 90% of which were in the Americas -
41,000 employees, and 35 manufacturing and technology research centers. Additional
information about the company can be found at  WhirlpoolCorp.com. 

The team you will be a part of

You will be part of the Latin America Region (LAR) Data & Analytics Organization, reporting directly to the Sr. Manager of Data Analytics & AI Products. Our team acts as a regional capability leader (Spoke), driving the end-to-end data and AI strategy, MLOps governance, and high-impact digital products across Latin America in close synchronization with the Global Data & AI Hub

This role in summary

As the Manager of Data Science & AI Products, you will lead the regional team of data scientists and AI engineers in designing, scaling, and governing advanced predictive models and Generative AI solutions across LAR. You will bridge complex deep-tech capabilities (Vertex AI, Multi-Agents, GenAI) with multi-departmental business needs—ranging from Supply Chain and Engineering to Direct-to-Consumer (D2C), Finance, and Legal Efficiency—translating business friction into measurable ROI, operational efficiency, and scalable AI products.

Your responsibilities will include

• Lead & Scale AI/ML Product Portfolio: Oversee the end-to-end lifecycle, design, and deployment of regional Machine Learning and Generative AI products (e.g., demand forecasting, inventory optimization, conversational commerce, and document/contract automation).
• Cross-Functional Intake & Value Acceleration: Partner with business leaders across multidisciplinary areas (Supply Chain, Engineering, Legal, D2C, Trade) to translate business expectations and ideas into structured, high-ROI AI use cases.
• Architect Enterprise AI & Multi-Agent Workflows: Guide the technical team in building scalable, secure AI solutions, including multi-agent systems, Vertex AI integrations, and API connections into enterprise platforms (e.g., Workspace, ServiceNow, VTEX).
• Enforce MLOps & Production Governance: Ensure rigorous MLOps governance, model monitoring, CI/CD automation, and alignment with GCP and architecture standards, preventing model drift and technical debt.
• Manage AI FinOps & Governance: Act as the technical gatekeeper for regional AI consumption costs (e.g., Gemini Enterprise licensing/usage) and ensure strict compliance with corporate security, privacy (LGPD/PIA/ISDR), and Red Data risk checks via the PULSE Committee.
• Foster AI Culture & Maturity (AI Literacy): Champion AI enablement and adoption across different maturity levels in the organization, partnering with HR/Communications to advance the AI Literacy program.
• Orchestrate External Vendors & Partners: Manage technical deliverables, SLAs, and development execution with third-party consultancies and tech partners.
• Team Leadership & Talent Development: Mentor, recruit, and retain top-tier Data Science and AI talent, fostering an agile, high-performance, and business-oriented engineering culture.

Minimum requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or related fields.
• Language Skills: Fluent/Advanced English (mandatory for global alignment and technical governance).
• Systems/Technical Knowledge:
  • Proven experience (5+ years) leading Data Science or AI engineering teams in corporate environments.
  • Deep hands-on expertise in Google Cloud Platform (GCP), specifically Vertex AI, BigQuery, Cloud Storage, and MLOps frameworks.
  • Solid proficiency in Python, SQL, Machine Learning frameworks (Scikit-Learn, PyTorch/TensorFlow), and Generative AI architectures (RAG, Fine-tuning, Agentic Workflows/CLI).

Preferred skills and experiences

• Language Skills: Working knowledge in Spanish (a plus for LAR North / Mexico collaboration).
• Systems/Technical Knowledge:
  • Master’s degree or Specialization in Artificial Intelligence, Machine Learning, or Digital Product Management.
  • Hands-on experience developing or architecting Enterprise Generative AI agents, LLM integrations via APIs, or multi-agent systems.
  • Previous experience in CPG, Durable Goods, Manufacturing, or Supply Chain industries.
  • Strong business acumen with a track record of implementing FinOps practices and AI ROI mapping.

What we offer

_Flexible schedule
_"No dress code".
_Wellhub;
_Transportation voucher, Shuttle buses or Free parking at the company;
_Food voucher;
_Meal on site;
_Benefits such as payment-deducted or social loans, health plan, dental plan, life insurance, and private pension plan compatible with the market;
_Employee Support Program, with 24-hour assistance from legal, social, financial, social workers, and psychologists;
_Daycare assistance or Nursery at the company;
_Services available on-site: beauty and aesthetics salon, internal bank agency, laundry, cafeteria, restaurant, and lactation room;
_Two weeks of remote work from anywhere;
_After 5 years with the company, eligible employees can take four weeks of paid leave;
_Discount on products through Compra Certa.
_Discount on insurance (pet, auto, home, bike, travel, and more)
_Extended maternity/paternity leave
Learn more at https://www.whirlpoolcareers.com/trabalhe-conosco-no-brasil/

Connect with us and learn more about Whirlpool Corporation

See what it's like to work at Whirlpool by visiting Whirlpool Careers. Additional information about the company can be found on Facebook, Twitter, LinkedIn, Instagram and YouTube.

Whirlpool Corporation is committed to equal employment opportunity and prohibits any discrimination on the basis of race or ethnicity, religion, sex, pregnancy, gender expression or identity, sexual orientation, age, physical or mental disability, veteran status, or any other category protected by applicable law.