About this opportunity
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:
Data Analytics & Computational Sciences
Job Sub Function:
Business Intelligence
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 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: 6+ 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.
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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:
Analytical Reasoning, Coaching, Communication, Data Reporting, Demand Forecasting, Distribution Management, Distribution Resource Planning (DRP), Lean Supply Chain Management, Operational Excellence, Order Management, Organizing, Problem Solving, Process Oriented, Procurement Policies, Quality Assurance (QA), Standard Operating Procedure (SOP), Strategic Supply Chain Management, Supply Chain
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 894 comparable Data & Digital roles across 82 biopharma companies.
Salary context
280 of 894 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 894 comparable roles
+ 36 more countries
Seniority mix
580 of 894 peers have a known seniority level
Therapeutic area mix
31 of 894 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.