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Manager, Business Intelligence

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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:

The Manager, Business Intelligence is responsible for leading the delivery of trusted reporting, dashboards, and analytical insights that enable business decisions.

This role partners with business and technology stakeholders to define KPI frameworks, prioritize the BI roadmap, and ensure scalable, governed solutions across tools and platforms (e.g., Databricks, Tableau, and Power BI).

The ideal candidate blends strong people leadership with hands-on analytical expertise, ensuring the team delivers high-quality insights with consistent definitions and strong adoption.

Key Responsibilities

• Strategic leadership: Act as a top-level specialist to establish programs and innovative initiatives to advance effective Business Intelligence (BI) initiatives.

• User enablement: Develop persona-based self-service analytics, dashboards, and reports aligned to business priorities and designed for adoption and actionability.

• Strategic insight: Perform trend and competitive/market analysis and convert findings into actionable insights that continuously improve BI strategy.

• Agile leadership: Operationalize AI-assisted analytics within the BI team by defining use cases, standard prompt patterns, and review/QA steps that improve speed and quality without compromising accuracy.

• Accountability: Implement standards for visualization, QA, release management, and support (including monitoring, incident response, and refresh reliability).

• Responsible AI: Ensure responsible and compliant use of AI in reporting and insights by partnering with Data Governance/Security to implement guardrails (access controls, approved tools, auditability) and by training the team on proper usage.

• Accountability: Drive data governance adherence (security, access controls, lineage, and retention), partnering with Data Governance and Compliance.

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Business Analytics, Statistics, Dat...




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