Data Science Supervisor

Cardinal Health; India; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Cardinal Health in India seeks a Data Science Supervisor to lead post‑deployment operations for Agentic AI and LLM integrations within Finance Digital Solutions. You will oversee production pipelines, ensure availability, security, and accuracy, and coordinate with offshore/onshore teams.

You will drive process improvements, align technical work with business needs, mentor the data science operations team, and promote adoption of analytics across the organization.

Qualifications

• 6 - 8 years of AI & data science experience, including 2-3 years of direct people management.
• BTech-BE from Tier 1/2 engineering schools or MS Analytics/data science from Tier 1/2 schools.
• Deep expertise in Google Cloud Platform (GCP) technologies, including Cloud SQL, BigQuery, and GCP Cloud Functions.
• Advanced proficiency in Python (FastAPI, Flask) and SQL.

Responsibilities

• Lead the ongoing operations, maintenance, and performance evaluation of production Agentic AI engines and analytics pipelines.
• Ensure production databases and connections to enterprise systems (SAP, Salesforce, Postgres) are secure and optimized.
• Establish best practices for Agent Observation, Evaluation, and prompt maintenance.
• Collaborate with cross-functional teams to understand inputs and downstream impacts of operational processes.
• Align technical work with business needs and enterprise security guidelines.
• Mentor and coach data science operations team and drive adoption of analytics solutions.
• Hands-on collaboration with partners to develop, test, and operationalize data science solutions.

Skills

Agentic AI

GenAI

Python

SQL

Kubernetes

Prompt engineering

Education

BTech/BE or MS in relevant

Tools

GCP (BigQuery, Cloud SQL)

Postgres

SAP

Salesforce

Docker/Kubernetes

Job description

Data Science Supervisor

Headquartered 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.

Department Overview

AI & 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.

Job Overview

The 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.

Responsibilities

• Lead the ongoing operations, maintenance, and performance evaluation of production Agentic AI engines, FastAPI/Flask services, and Python-based analytical pipelines.
• Ensure production databases and connections to enterprise systems (such as SAP, Salesforce, and Postgres) are maintained, secure, and highly optimized.
• Establish best practices for Agent Observation, Evaluation, and prompt maintenance to adapt to shifting financial processes and business rules.
• Work with cross-functional partners across our highly matrixed organization to understand both upstream inputs to, and downstream impact of, current and future operational processes.
• Align technical specifications and post-deployment modifications with business needs and enterprise security standard guidelines.
• Act as a techno-functional leader, generating ideas for process and platform improvements and ensuring data compliance standards are met.
• Provides direct supervision and leadership to team.
• Strategize and prioritize responsibilities of direct reports.
• Assess business opportunities and promote use of data science, analytics within domain and build internal and external resources and expertise.
• A 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.
• Work to leverage data (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methods to develop analytics solutions.

Qualifications

• 6 - 8 years of AI & data science experience preferred, including 2-3 years of direct people management experience (direct people reporting).
• BTech-BE from Tier 1/2 engineering schools or MStat/MS (Math)/MA Econ/ MS Analytics/data science from Tier 1/2 schools.
• Deep expertise in Google Cloud Platform (GCP) technologies, including Cloud SQL, BigQuery, and GCP Cloud Functions.
• Advanced proficiency in Python (specifically FastAPI, Flask) and SQL.
• Direct experience with Agentic AI architectures, Prompt Engineering, Agent Evaluation, and Agent Observation.
• Strong knowledge of containerization and orchestration using Kubernetes.
• Experience integrating and maintaining connections to enterprise databases and applications like Postgres, SAP, and Salesforce.
• Design ML/LLM pipelines, good knowledge of RAG, prompt engineering.
• Monitor system performance, logs, retrieval quality and prompt-effectiveness.
• Integrate microservices with ApigeeX for API management, security (authentication, authorization, rate limiting), monitoring, and analytics.
• Skills in areas like Agentic AI, GenAI, and some other traditional AI techniques like optimization, Statistics, Machine learning, NLP, Image/ Video, Speech analytics.
• Preferably good knowledge of Agile & SCRUM development processes.

Soft Skills

• Coach and Mentor data science operations Team members.
• Excellent communication and storytelling skills (oral, written and presentation).
• Highly driven, energetic, flexible & ability to multitask.
• Ability to work with teams/ stakeholders to drive change/ adoption of analytics solutions.

Skills

• Skills in areas like Agentic AI, GenAI, and some other traditional AI techniques like optimization, Statistics, Machine learning, NLP, Image/ Video, Speech analytics.
• Preferably good knowledge of Agile & SCRUM development processes.

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal 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/Affirmative Action 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.

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities. We are a crucial link between the clinical and operational sides of healthcare, delivering end‑to‑end solutions and data‑driving insights that advance healthcare and improve lives every day. With deep partnerships, diverse perspectives and innovative digital solutions, we build connections across the continuum of care. With more than 50 years of experience, we seize the opportunity to address healthcare's most complicated challenges —now, and in the future.