{"id":3833765,"url":"https://alion.io/job/kraft-heinz-sr-manager-data-scientist","title":"Sr Manager, Data Scientist","company":{"id":1043168,"name":"Kraft Heinz","domain":"kraftheinzcompany.com","url":"https://alion.io/company/kraft-heinz-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"A","score":95,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0.333,"time_to_fill_p50_days":30,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Digital Twin","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-11-05T17:26:13Z","employer_posted_date":null,"last_verified_at":"2026-11-05T17:26:13Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Job Description\n\nJob Summary:\n\nThe Sr. Manager, Data Science - Operations serves as the strategic and technical leader responsible for driving data science, AI, optimization, and advanced analytics initiatives across Manufacturing, Supply Chain, Demand Planning, and Product Formulation functions. This role partners closely with business and technology leaders to identify opportunities, develop scalable analytical solutions, and translate complex business challenges into measurable operational and financial outcomes. Success in this role is demonstrated through delivering enterprise-wide value, accelerating data-driven decision making, and advancing Kraft Heinz's digital transformation agenda.\n\nResponsibilities\n\nLead the identification, prioritization, and execution of advanced analytics, machine learning, optimization, and AI initiatives across Manufacturing, Supply Chain, Demand Planning, and Formulation functions.\nPartner with business stakeholders and operational leaders to understand strategic objectives, define analytical roadmaps, and translate business requirements into scalable data science solutions.\nProvide technical leadership and mentorship to Data Scientists, Data Engineers, Analytics professionals, and cross-functional project teams without direct people management responsibilities.\nCommunicate analytical insights, recommendations, business cases, and project outcomes to senior leadership and executive stakeholders using clear, concise, and business-friendly language.\nDesign and oversee development of predictive, prescriptive, and optimization models that improve operational efficiency, forecasting accuracy, inventory management, production planning, and product development processes.\nChampion best practices in data science, AI, model governance, experimentation, and responsible AI across the organization.\nEvaluate emerging technologies, industry trends, and innovative analytical approaches to continuously improve business capabilities and competitive advantage.\n\nRequirements\n\nMaster's degree in Data Science, Computer Science, Engineering, or Statistics\nMinimum 10 years of progressive experience in Data Science, Analytics, Operations Research, Machine Learning, or Advanced Analytics\nDemonstrated experience supporting Manufacturing, Digital Twin, Supply Chain, Demand Planning, Production Planning, Inventory Optimization, Procurement, or Product Formulation functions\nProven track record delivering business value through predictive analytics, optimization, simulation, statistical modeling, and AI solutions.\nExperience leading complex, cross-functional initiatives involving business stakeholders, technology teams, and executive leadership.\nExperience translating ambiguous business challenges into analytical frameworks and actionable recommendations.\nPreferred experience in Consumer-Packaged Goods (CPG), Food & Beverage, Manufacturing, Supply Chain, or Operations environments.\nExperience with cloud-based analytical platforms and modern data ecosystems.\n\nLocation(s)\n\nBengaluru - 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