Senior Analyst, Data Automation

Johnson & Johnson is hiring a Senior Analyst, Data Automation in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

copilotdatabricks

ai-agentsai-safety

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.

As 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.

Job Function:

Supply Chain Deliver

Job Sub Function:

Deliver Excellence

Job Category:

Professional

All Job Posting Locations:

Bangalore, Karnataka, India

Job Description:

Position Summary

The Digital & Data Analytics (D&DA) team within Global Supply Chain Services is transforming how the organisation leverages Artificial Intelligence (AI), data, and analytics to improve productivity, drive Continuous Process Improvements (CPIs), and enable faster, more informed business decisions. The team is focused on delivering scalable, cost-effective digital solutions with an emphasis on speed, simplicity, and measurable business value.

Reporting to the Senior Manager, Digital & Data Analytics, this role is responsible for leading a diverse portfolio of AI-driven digital initiatives. The successful candidate will independently manage complex, cross-functional projects across the full lifecycle — from ideation and intake through implementation, adoption, and value realisation — ensuring alignment with strategic business objectives.

To succeed in this role, you will need advanced expertise across the following areas:

Advanced AI & Emerging Technologies — Leveraging Generative AI, LLMs, and AI-assisted tools to build intelligent, efficient solutions.
Data Engineering & Discovery — Designing data architectures, building ETL pipelines, and extracting actionable insights from complex datasets.
User-Centric Solutioning — Developing solutions that prioritise usability, adoption, and tangible business outcomes.
Smart Communication — Translating technical complexity into clear, concise narratives for diverse stakeholders.

You will be managing multiple projects in parallel, making strong time management, prioritization, and stakeholder engagement skills essential to delivering consistent results.

Major Duties & Responsibilities

Approximate Percentage of Time

Tasks/Duties/Responsibilities

50%

Leverage AI-powered tools to accelerate agent creation, data discovery, data transformation, metadata analysis, code development, documentation.

40%

Design, develop, and maintain scalable, secure and reusable data pipelines, and integration solutions using Azure, Dataverse, Genie, Databricks, SQL Server, Alteryx, Power Automate and Python.

10%

Stay current with emerging AI technologies and tools. Proactively recommend improvements to the organization’s data strategy, architecture, and technology stack.

100%

Total

Required Minimum Education: Bachelor's degree in Information Technology or Computer Science Engineering or a Masters in Mathematics with experience in key digital software.

Other: Hands-on experience with building advanced AI agents.

Required Years of Related Experience: 4+ years

Required Knowledge, Skills and Abilities:

AI & Emerging Technologies: Proficient in using Generative AI, Large Language Models (LLMs), Copilot technologies, and other AI-assisted development tools. Demonstrated ability to design efficient frameworks (e.g., smart harnesses) that optimise token consumption for AI agents.

Data & Development Platforms: Hands-on experience with Databricks, Dataverse, Azure Data Services, SQL Server, Python, Alteryx, and Power Automate. Familiarity with integrating these tools into end-to-end solutions is essential.

Data Architecture & Engineering: Solid experience in designing data architectures and data models, building ETL pipelines, developing APIs, and implementing data engineering solutions on cloud-based platforms.

Adaptability & Continuous Learning: Proven ability to quickly learn and adopt new AI, digital, and automation tools, and effectively deploy them in live project environments.

Communication & Stakeholder Management: Excellent verbal and written communication in English. Skilled at translating complex technical concepts into clear, actionable insights for business stakeholders, and converting business requirements into well-defined technical specifications.

Project & Time Management: Demonstrated success in executing multiple projects simultaneously in a fast-paced, deadline-driven environment with minimal supervision.

Responsible AI & Ethics: Sound understanding of ethical AI practices, data privacy considerations, and compliance with industry standards and organisational policies.

Problem-Solving & Analytical Thinking: Strong analytical and investigative mindset with a natural ability to navigate ambiguity, troubleshoot independently, and simplify complex problems into workable solutions.

Preferred Qualifications

Preferred Minimum Education: Bachelor of Engineering

Preferred Area of Study: Computer Science, Information Technology, Mathematics

Preferred Related Industry Experience (if applicable): Healthcare, Pharma, MedTech

Preferred Knowledge, Skills and Abilities:

End-to-end supply chain, enterprise contract management, global trade controls or global transportation and trade operations experience in a global or multi-divisional environment.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Required Skills:

Preferred Skills:

Analytical Reasoning, Business Behavior, Coaching, Data Reporting, Demand Forecasting, Detail-Oriented, Distribution Management, Distribution Resource Planning (DRP), Lean Supply Chain Management, Operational Excellence, Order Management, Problem Solving, Process Oriented, Procurement Systems, Project Support, Quality Assurance (QA), Service Excellence, Strategic Supply Chain Management, Supply Chain

How we rate this

Senior Analyst, Data Automation at Johnson & Johnson rates 49 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Analyst, Data Automation is an open job at Johnson & Johnson.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Bangalore, Karnataka, India.
The job was posted on October 8, 2026.
Seniority: senior.
Applications are handled by Johnson & Johnson. Apply on Johnson & Johnson

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI agentsAI SafetyCopilotDatabricks

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
How do you think about the risk of an AI system in this kind of role failing silently?
What are the limits of Copilot that you've run into, and how did you work around them?
What's a project where you used Databricks hands-on?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?

Adapt your resume

List these exact terms on your resume: AI agents, AI Safety, Copilot, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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