{"id":390036,"url":"https://alion.io/job/whirlpool-corporation-ai-data-science-manager","title":"AI & Data Science Manager","company":{"id":97740,"name":"Whirlpool Corporation","domain":"whirlpool.com","url":"https://alion.io/company/whirlpool","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":87,"open_postings":74,"ghost_share":0.027,"stale_share":0.23,"repost_share":0.041,"time_to_fill_p50_days":61,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil"],"countries":["BR"],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":99000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scale AI","optional":false},{"name":"Scikit-learn","optional":false},{"name":"ServiceNow","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-07-23T14:33:19Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-11-13T23:24:05Z","board_verified":true,"closed_at":null,"days_open":113,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":112},"description":"Requisition ID: 72441\nAbout Whirlpool Corporation\nWhirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant\npursuit of improving life at home. As the only major U.S.-based manufacturer of kitchen\nand laundry appliances, the company is driving meaningful innovation to meet the evolving\nneeds of consumers through its iconic brand portfolio, includingWhirlpool,KitchenAid,\nJennAir, Maytag,Amana,Brastemp,Consul, andInSinkErator. In 2025, the company reported\napproximately $16 billion in annual net sales - close to 90% of which were in the Americas -\n41,000 employees, and 35 manufacturing and technology research centers. Additional\ninformation about the company can be found atWhirlpoolCorp.com.\nThe team you will be a part of\nYou 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\nThis role in summary\nAs 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.\nYour responsibilities will include\nLead & 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). \nCross-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. \nArchitect 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). \nEnforce 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. \nManage 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. \nFoster 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. \nOrchestrate External Vendors & Partners: Manage technical deliverables, SLAs, and development execution with third-party consultancies and tech partners. \nTeam Leadership & Talent Development: Mentor, recruit, and retain top-tier Data Science and AI talent, fostering an agile, high-performance, and business-oriented engineering culture.\nMinimum requirements\nEducation: Bachelor’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or related fields. \nLanguage Skills: Fluent/Advanced English (mandatory for global alignment and technical governance). \nSystems/Technical Knowledge:Proven experience (5+ years) leading Data Science or AI engineering teams in corporate environments. \nDeep hands-on expertise in Google Cloud Platform (GCP), specifically Vertex AI, BigQuery, Cloud Storage, and MLOps frameworks. \nSolid proficiency in Python, SQL, Machine Learning frameworks (Scikit-Learn, PyTorch/TensorFlow), and Generative AI architectures (RAG, Fine-tuning, Agentic Workflows/CLI).\n\nPreferred skills and experiences\nLanguage Skills: Working knowledge in Spanish (a plus for LAR North / Mexico collaboration). \nSystems/Technical Knowledge: Master’s degree or Specialization in Artificial Intelligence, Machine Learning, or Digital Product Management. \nHands-on experience developing or architecting Enterprise Generative AI agents, LLM integrations via APIs, or multi-agent systems. \nPrevious experience in CPG, Durable Goods, Manufacturing, or Supply Chain industries. \nStrong business acumen with a track record of implementing FinOps practices and AI ROI mapping.\n\nWhat we offer\n_Flexible schedule\n_\"No dress code\".\n_Wellhub;\n_Transportation voucher, Shuttle buses or Free parking at the company;\n_Food voucher;\n_Meal on site;\n_Benefits such as payment-deducted or social loans, health plan, dental plan, life insurance, and private pension plan compatible with the market;\n_Employee Support Program, with 24-hour assistance from legal, social, financial, social workers, and psychologists;\n_Daycare assistance or Nursery at the company;\n_Services available on-site: beauty and aesthetics salon, internal bank agency, laundry, cafeteria, restaurant, and lactation room;\n_Two weeks of remote work from anywhere;\n_After 5 years with the company, eligible employees can take four weeks of paid leave;\n_Discount on products through Compra Certa.\n_Discount on insurance (pet, auto, home, bike, travel, and more)\n_Extended maternity/paternity leave\nLearn more at https://www.whirlpoolcareers.com/trabalhe-conosco-no-brasil/\nConnect with us and learn more about Whirlpool Corporation\nSee 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.\nWhirlpool 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.","description_format":"text","description_chars":6279,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Spanish","level":"All levels","optional":true},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Cafeteria","Flexible schedule","Life insurance"],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Home Appliances"],"lifecycle":[{"event":"open","at":"2026-09-05T23:06:17Z"},{"event":"open","at":"2026-09-12T17:21:00Z"},{"event":"close","at":"2026-09-14T02:05:11Z"},{"event":"reopen","at":"2026-09-14T05:05:15Z"}],"visa":[],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.824,"p_room":0.36,"age_days":111,"expected_fill_days":61,"reasons":["conf:1","urgency","win:tail","crowd:brand"],"computed_at":"2026-11-12T10:38:37Z"},"pay":null,"html_url":"https://alion.io/job/whirlpool-corporation-ai-data-science-manager","json_url":"https://alion.io/job/whirlpool-corporation-ai-data-science-manager.json","meta":{"generated_at":"2026-11-14T01:28:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1203,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":97740},"rest":"https://alion.io/mcp/rest/get_company?id=97740"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwhirlpool-corporation-ai-data-science-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwhirlpool-corporation-ai-data-science-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwhirlpool-corporation-ai-data-science-manager"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/whirlpool-corporation-ai-data-science-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwhirlpool-corporation-ai-data-science-manager"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":390036}},{"tool":"search_jobs","arguments":{"company":"whirlpool.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":390036},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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