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Manager Data Analytics & AI

Johnson & Johnson MedTech

Mumbai, Maharashtra, India

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

Data Engineering

Job Category

People Leader

All Job Posting Locations:

Mumbai, Maharashtra, India

Job Description

Commercial & Supply Chain Data | MedTech Surgery

Our Credo in Action

At Johnson & Johnson MedTech, we are leveraging data, analytics, and AI to enable better decisions for customers, healthcare professionals, and most importantly patients. This role offers the opportunity to work on high-impact initiatives across APAC, contribute to key transformation programs, and help build an AI-first organization through modern data, analytics, and automation capabilities.

About The Role

We are seeking a hands-on Data Analytics & AI Manager to support Commercial and Supply Chain Data capabilities for the MedTech Surgery business across APAC.

Working closely with business stakeholders, Commercial Master Data Management (CMDM), and technology teams, you will deliver trusted data products, Power BI solutions, advanced analytics, and AI-enabled capabilities that drive business outcomes while minimizing downstream user disruption during transformation initiatives. This role is ideal for someone who enjoys execution, continuous learning, problem-solving, and collaborating across global teams.

Key Responsibilities

Deliver analytics, reporting, and data solutions supporting Commercial and Supply Chain functions across APAC.
Design, develop, and maintain Power BI dashboards, semantic models, KPIs, and self-service analytics capabilities.
Partner with business teams to translate requirements into scalable analytics and reporting solutions.
Work closely with the CMDM team to ensure downstream systems, reports, and analytics products remain aligned with master data changes while minimizing business and end-user impact.
Support data quality, governance, and master data initiatives aligned with global standards and templates.
Contribute to enterprise transformation programs including Transcend and Butterfly.
Leverage platforms such as SAP MARS, DataVantage, OneForce, Power BI, Databricks, APIs, and cloud data technologies to deliver business value.
Identify opportunities to simplify processes, automate workflows, and embed AI-driven insights into business operations.
Support the development of AI-ready data foundations and contribute to the organization's AI-first operating model.
Collaborate with global teams to continuously improve data products, reporting capabilities, and user experience.

Qualifications

Master’s degree in computer science, Artificial Intelligence, Data Science, Engineering, Information Systems, or a related field required. Equivalent education and relevant work experience may be considered.
10-12 years of experience.
Experience in Data Analytics, Business Intelligence, Data Engineering, AI, Commercial Data, Supply Chain Data, or related disciplines.
Strong hands-on experience with Power BI development, semantic modeling, dashboard design, KPI development, and business reporting.
Experience with commercial and supply chain business processes such as Bids & Tenders, Customer Engagement, Order-to-Cash, Demand Planning, Inventory Management, and Supply Chain Operations, and their integration with enterprise platforms including ERP, CRM, MES, and Master Data Management ecosystems.
Experience partnering with business stakeholders to translate requirements into scalable data, analytics, and AI solutions.
Proven track record delivering analytics products and data initiatives using agile methodologies, with the ability to connect business needs to measurable outcomes.
Experience supporting portfolio, product, or roadmap delivery across cross-functional teams.
Strong understanding of cloud technologies, APIs, modern data platforms, analytics ecosystems, and AI/ML/GenAI capabilities.
Demonstrated experience implementing analytics, automation, AI, or GenAI solutions beyond proof-of-concept stages into production environments with measurable business adoption.
Experience with enterprise platforms such as SAP MARS, DataVantage, OneForce, Databricks, and modern cloud-based data architectures is preferred.
Strong analytical, communication, stakeholder management, and problem-solving skills.
Demonstrated ability to work effectively across functions, geographies, and diverse teams.
Curiosity, adaptability, and a passion for learning new technologies, business processes, and AI capabilities.

What Success Looks Like

Trusted and scalable Power BI and analytics solutions widely adopted by business users.
Increased adoption of self-service analytics, automation, and AI-powered decision support.
Seamless support of CMDM, Transcend, and Butterfly initiatives with minimal downstream user disruption.
Improved quality, accessibility, and usability of Commercial and Supply Chain data across APAC.
Meaningful contributions toward building an AI-first MedTech Surgery organization while continuously expanding technical and business expertise.
Delivery of measurable business value through data-driven insights, process simplification, and operational excellence.

Required Skills

Preferred Skills:

Advanced Analytics, Agility Jumps, Compliance Management, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Developing Others, Emerging Technologies, Execution Focus, Hybrid Clouds, Inclusive Leadership, Leadership, Resource Allocation, Team Management, Technical Development, Technologically Savvy

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