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.
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
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.
- 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.
- 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).
- 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.
_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.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or a related field
- Fluent or advanced English
- At least 5 years of experience leading Data Science or AI engineering teams in corporate environments
- Deep hands-on experience with Google Cloud Platform, including Vertex AI, BigQuery, Cloud Storage, and MLOps frameworks
- Proficiency in Python and SQL
- Experience with machine learning frameworks such as Scikit-Learn, PyTorch, or TensorFlow
- Experience with Generative AI architectures, including RAG, fine-tuning, and agentic workflows or CLI
- Working knowledge of Spanish
- Master's degree or specialization in Artificial Intelligence, Machine Learning, or Digital Product Management
- Experience developing or architecting enterprise Generative AI agents, LLM API integrations, or multi-agent systems
- Experience in CPG, durable goods, manufacturing, or supply chain industries
- Strong business acumen and experience implementing FinOps practices and AI ROI mapping
Whirlpool Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Whirlpool Corporation and has not been reviewed or approved by Whirlpool Corporation.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical/dental/vision along with mental-health and EAP resources in the U.S. First-day benefits are also indicated for some roles, reinforcing perceived accessibility of core coverage.
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Parental & Family Support — Family-oriented support is emphasized through paid parental leave references, added caregiver leave options, and expanded family-building benefits such as fertility coverage and adoption/surrogacy reimbursement. External recognition for working-parent practices is cited as consistent with this family-friendly benefits posture.
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Retirement Support — Retirement offerings are described as meaningful, including a 401(k) match and, in some descriptions, additional company contributions alongside other financial supports like coaching and purchase programs. This strengthens total rewards for employees who weigh long-term benefits alongside base pay.
Whirlpool Corporation Insights
What We Do
Life at home has been at the heart of our business for 110 years - it is why we exist and why we are passionate about what we do. Beginning with our founders to the everyday actions of our people, our values have always kept us grounded -- Integrity, Respect, Inclusion & Diversity, One Whirlpool, Spirit of Winning. What we do at Whirlpool Corporation matters because consumers trust our brands. We never take that for granted and we work every day to earn that trust as we are committed to being the best kitchen and laundry company, in constant pursuit of improving life at home.
