{"id":3577658,"url":"https://alion.io/job/johnson-johnson-manager-data-analytics-ai","title":"Manager Data Analytics & AI","company":{"id":14152,"name":"Johnson & Johnson","domain":"jnj.com","url":"https://alion.io/company/jnj","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":185,"ghost_share":0,"stale_share":0.746,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":41000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":702},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Databricks","optional":false},{"name":"Master Data Management","optional":false},{"name":"Power BI","optional":false}],"status":"live","first_seen_at":"2026-10-30T00:00:00Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T03:14:59Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.\nAs guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.\nJob Function:\nData Analytics & Computational SciencesJob Sub Function:\nData EngineeringJob Category:\nPeople LeaderAll Job Posting Locations:\nMumbai, Maharashtra, IndiaJob Description:\nCommercial & Supply Chain Data | MedTech Surgery\n\nOur Credo in Action\nAt Johnson & Johnson MedTech, we are leveraging data, analytics, and AI to enable better decisions for customers, healthcare professionals, and most importantly patients. This role offers the opportunity to work on high-impact initiatives across APAC, contribute to key transformation programs, and help build an AI-first organization through modern data, analytics, and automation capabilities.\nAbout the Role\nWe are seeking a hands-on Data Analytics & AI Manager to support Commercial and Supply Chain Data capabilities for the MedTech Surgery business across APAC.\nWorking closely with business stakeholders, Commercial Master Data Management (CMDM), and technology teams, you will deliver trusted data products, Power BI solutions, advanced analytics, and AI-enabled capabilities that drive business outcomes while minimizing downstream user disruption during transformation initiatives. This role is ideal for someone who enjoys execution, continuous learning, problem-solving, and collaborating across global teams.\nKey Responsibilities\nDeliver analytics, reporting, and data solutions supporting Commercial and Supply Chain functions across APAC.\nDesign, develop, and maintain Power BI dashboards, semantic models, KPIs, and self-service analytics capabilities.\nPartner with business teams to translate requirements into scalable analytics and reporting solutions.\nWork closely with the CMDM team to ensure downstream systems, reports, and analytics products remain aligned with master data changes while minimizing business and end-user impact.\nSupport data quality, governance, and master data initiatives aligned with global standards and templates.\nContribute to enterprise transformation programs including Transcend and Butterfly.\nLeverage platforms such as SAP MARS, DataVantage, OneForce, Power BI, Databricks, APIs, and cloud data technologies to deliver business value.\nIdentify opportunities to simplify processes, automate workflows, and embed AI-driven insights into business operations.\nSupport the development of AI-ready data foundations and contribute to the organization's AI-first operating model.\nCollaborate with global teams to continuously improve data products, reporting capabilities, and user experience.\nQualifications\nMaster’s degree in computer science, Artificial Intelligence, Data Science, Engineering, Information Systems, or a related field required. Equivalent education and relevant work experience may be considered.\n10-12 years of experience.\nExperience in Data Analytics, Business Intelligence, Data Engineering, AI, Commercial Data, Supply Chain Data, or related disciplines.\nStrong hands-on experience with Power BI development, semantic modeling, dashboard design, KPI development, and business reporting.\nExperience with commercial and supply chain business processes such as Bids & Tenders, Customer Engagement, Order-to-Cash, Demand Planning, Inventory Management, and Supply Chain Operations, and their integration with enterprise platforms including ERP, CRM, MES, and Master Data Management ecosystems.\nExperience partnering with business stakeholders to translate requirements into scalable data, analytics, and AI solutions.\nProven track record delivering analytics products and data initiatives using agile methodologies, with the ability to connect business needs to measurable outcomes.\nExperience supporting portfolio, product, or roadmap delivery across cross-functional teams.\nStrong understanding of cloud technologies, APIs, modern data platforms, analytics ecosystems, and AI/ML/GenAI capabilities.\nDemonstrated experience implementing analytics, automation, AI, or GenAI solutions beyond proof-of-concept stages into production environments with measurable business adoption.\nExperience with enterprise platforms such as SAP MARS, DataVantage, OneForce, Databricks, and modern cloud-based data architectures is preferred. \nStrong analytical, communication, stakeholder management, and problem-solving skills.\nDemonstrated ability to work effectively across functions, geographies, and diverse teams.\nCuriosity, adaptability, and a passion for learning new technologies, business processes, and AI capabilities.\nWhat Success Looks Like\nTrusted and scalable Power BI and analytics solutions widely adopted by business users.\nIncreased adoption of self-service analytics, automation, and AI-powered decision support.\nSeamless support of CMDM, Transcend, and Butterfly initiatives with minimal downstream user disruption.\nImproved quality, accessibility, and usability of Commercial and Supply Chain data across APAC.\nMeaningful contributions toward building an AI-first MedTech Surgery organization while continuously expanding technical and business expertise.\nDelivery of measurable business value through data-driven insights, process simplification, and operational excellence.\nRequired Skills:\nPreferred Skills:\nAdvanced Analytics, Agility Jumps, Compliance Management, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Developing Others, Emerging Technologies, Execution Focus, Hybrid Clouds, Inclusive Leadership, Leadership, Resource Allocation, Team Management, Technical Development, Technologically 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