{"id":1194687,"url":"https://alion.io/job/cardinal-health-data-science-supervisor","title":"Data Science Supervisor","company":{"id":1779154,"name":"Cardinal Health","domain":"cardinalhealth.com","url":"https://alion.io/company/cardinalhealth-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":24,"ghost_share":0,"stale_share":0.583,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Salesforce","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Unstructured.io","optional":false}],"status":"live","first_seen_at":"2026-07-15T00:00:00Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-31T20:18:04Z","board_verified":true,"closed_at":null,"days_open":109,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":108},"description":"Data Science Supervisor\nHeadquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500.\nDepartment Overview\nAI & Data Science team builds analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.\nJob Overview\nThe primary role of the Data Science Supervisor is to oversee the post-deployment operations, continuous optimization, and operational performance of Agentic AI and Intelligent Automation solutions within the Finance Digital Solutions portfolio. This role will lead the operational “Run” phase, ensuring that generative AI agents, Large Language Model (LLM) integrations, and production workflows remain highly available, secure, and accurate. This position collaborates closely with offshore/onshore developers, data scientists, and business partners to manage risk, solve complex problems, and deliver long-term support for mission-critical solutions.\nResponsibilities\nLead the ongoing operations, maintenance, and performance evaluation of production Agentic AI engines, FastAPI/Flask services, and Python-based analytical pipelines.\nEnsure production databases and connections to enterprise systems (such as SAP, Salesforce, and Postgres) are maintained, secure, and highly optimized.\nEstablish best practices for Agent Observation, Evaluation, and prompt maintenance to adapt to shifting financial processes and business rules.\nWork with cross-functional partners across our highly matrixed organization to understand both upstream inputs to, and downstream impact of, current and future operational processes.\nAlign technical specifications and post-deployment modifications with business needs and enterprise security standard guidelines.\nAct as a techno-functional leader, generating ideas for process and platform improvements and ensuring data compliance standards are met.\nProvides direct supervision and leadership to team\nStrategize and prioritize responsibilities of direct reports\nAssess business opportunities and promote use of data science, analytics within domain and build internal and external resources and expertise. \nA part of the role also requires to be hands-on and working together with external and internal partners to develop, test and operationalize data science and analytical solutions as well as ensure its adoption by businesses.\nWork to leverage data (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methods to develop analytics solutions \n Qualifications\n6 - 8 years of AI & data science experience preferred, including 2-3 years of direct people management experience (direct people reporting)\nBTech-BE from Tier 1/2 engineering schools or MStat/MS (Math)/MA Econ/ MS Analytics/data science from Tier 1/2 schools \nDeep expertise in Google Cloud Platform (GCP) technologies, including Cloud SQL, BigQuery, and GCP Cloud Functions.\nAdvanced proficiency in Python (specifically FastAPI, Flask) and SQL.\nDirect experience with Agentic AI architectures, Prompt Engineering, Agent Evaluation, and Agent Observation.\nStrong knowledge of containerization and orchestration using Kubernetes.\nExperience integrating and maintaining connections to enterprise databases and applications like Postgres, SAP, and Salesforce.\nDesign ML/LLM pipelines, good knowledge of RAG, prompt engineering.\nMonitor system performance, logs, retrieval quality and prompt-effectiveness\nIntegrate microservices with ApigeeX for API management, security (authentication, authorization, rate limiting), monitoring, and analytics.\nSkills in areas like Agentic AI, GenAI, and some other traditional AI techniques like optimization, Statistics, Machine learning, NLP, Image/ Video, Speech analytics \nPreferably good knowledge of Agile & SCRUM development processes \n Soft Skills\nCoach and Mentor data science operations Team members\nExcellent communication and storytelling skills (oral, written and presentation) \nHighly driven, energetic, flexible & ability to multitask \nAbility to work with teams/ stakeholders to drive change/ adoption of analytics solutions \nCandidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.\nCardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/AffirmativeAction employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.\nTo read and review this privacy notice click here","description_format":"text","description_chars":5511,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Pharmaceutical Distribution","Medical Supplies & Consumables","Medical Equipment Distribution"],"lifecycle":[{"event":"open","at":"2026-09-24T18:31:46Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.329,"p_room":0.28,"age_days":108,"expected_fill_days":26,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/cardinal-health-data-science-supervisor","json_url":"https://alion.io/job/cardinal-health-data-science-supervisor.json","meta":{"generated_at":"2026-11-01T04:35:20Z","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":7056,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":1779154},"rest":"https://alion.io/mcp/rest/get_company?id=1779154"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcardinal-health-data-science-supervisor"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fcardinal-health-data-science-supervisor"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fcardinal-health-data-science-supervisor"},{"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/cardinal-health-data-science-supervisor\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcardinal-health-data-science-supervisor"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1194687}},{"tool":"search_jobs","arguments":{"company":"cardinalhealth.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1194687},"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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