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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Business IntelligenceJob Category:
ProfessionalAll Job Posting Locations:
Bangalore, Karnataka, IndiaJob 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 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.
- Reporting & Analytics — Designing data architectures for reporting, building ETL pipelines, extracting actionable insights from complex datasets, and developing business-friendly dashboards and reports that drive informed decision-making.
- Data Engineering & Pipeline Management — Building and maintaining robust, scalable ETL/ELT pipelines and data integrations across cloud-based platforms to ensure reliable, high-quality data flows.
- 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, prioritisation, and stakeholder engagement skills essential to delivering consistent results.
Major Duties & Responsibilities
Approximate Percentage of Time
Tasks/Duties/Responsibilities
70% - Reporting, Analytics & AI-Driven Development — Design, develop, and maintain business-friendly reports, dashboards, and analytics solutions. Leverage AI-powered tools to accelerate the full development lifecycle, including data discovery, data transformation, metadata analysis, code development, report design, testing (UAT), and documentation. Integrate agentic AI solutions into reporting workflows to proactively identify opportunities for continuous improvement and operational efficiencies across the business.
20% - Stakeholder Collaboration & Project Delivery — Partner with business-facing teams to gather and define requirements, prioritise work based on business impact, and create structured delivery plans for complex, cross-functional projects. Ensure clear communication of timelines, dependencies, and progress to all stakeholders.
10% - Innovation & Continuous Improvement — Stay current with emerging AI technologies, analytics tools, and industry best practices. Proactively evaluate and recommend improvements to the organisation's data strategy, reporting architecture, and technology stack to drive long-term scalability and value.
Required Qualifications
Required Minimum Education: Bachelor's degree in Information Technology or Computer Science Engineering with experience in key digital software.
Other: Handson 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 Tools: Expert knowledge of Power Platform (Power Automate, Power Apps, Power BI). Hands-on experience with Databricks, Dataverse, Azure Data Services, SQL Server, and Python. Some prior experience with Microsoft Fabric, Tableau, or Google Looker is a bonus.
- Data Architecture & Engineering: Solid experience in designing data architectures and data models, building ETL/ELT 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 skills 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.
- 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. Ability to translate ambiguous business needs into scalable solutions, measurable outcomes, and actionable delivery plans.
- Responsible AI & Ethics: Sound understanding of ethical AI practices, data privacy considerations, and compliance with industry standards and organisational policies.
Travel on the Job: Yes
Percentage Traveled: 10%
Type of Travel Required: n/a
People Management Experience: n/a
Required Years of People Management Experience: n/a
Preferred Qualifications
Preferred Minimum Education: Bachelor of Engineering Other: n/a
Preferred Area of Study: Computer Science, Information Technology
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.
Key Working Relationships
Internal
Business teams
External
Technical consultants
Required Skills:
Preferred Skills:
Advanced Analytics, Analytical Reasoning, Business Behavior, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Integration, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Management Systems Implementation, Problem Solving, Process Oriented, Project Management, Statistical Analysis Systems (SAS) Programming, Workflow AnalysisSkills Required
- Bachelor’s degree in Information Technology or Computer Science Engineering
- 4+ years of related experience
- Hands-on experience building advanced AI agents
- Proficiency with Generative AI, LLMs, Copilot technologies, and AI-assisted development tools
- Expert knowledge of Power Automate, Power Apps, and Power BI
- Hands-on experience with Databricks, Dataverse, Azure Data Services, SQL Server, and Python
- Experience designing data architectures and models, building ETL/ELT pipelines, developing APIs, and implementing cloud data engineering solutions
- Strong English verbal and written communication skills
- Experience managing multiple projects in a fast-paced, deadline-driven environment
- Understanding of ethical AI, data privacy, and compliance standards
- Bachelor of Engineering degree
- Experience with Microsoft Fabric, Tableau, or Google Looker
- Healthcare, pharma, or MedTech industry experience
- Experience with supply chain, enterprise contract management, global trade controls, or global transportation and trade operations
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
