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Sr Mgr - 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:
People Leader

All Job Posting Locations:
Bangalore, Karnataka, India

Job Description:

The Senior Manager, Business Intelligence provides strategic leadership for enterprise reporting and analytics, ensuring business intelligence capabilities scale with organizational growth.

This role sets the vision for KPI governance, data products, and self-service analytics, and leads managers and senior individual contributors to deliver measurable business impact.

The ideal candidate is a strong leader and operator with deep BI expertise across Databricks and modern visualization platforms (Tableau/Power BI), capable of aligning stakeholders, maturing operating models, and advancing analytics standards.

Key Responsibilities

• Strategic leadership: Define the enterprise BI strategy, operating model, and multi-quarter roadmap aligned to business priorities and data platform direction.

• People leadership: Lead and develop BI leaders, building a high-performing team and healthy talent pipeline.

• Stakeholder engagement: Partner with the PEX/S2C/SMS GPO organizations to establish enterprise KPI governance, standard metric definitions, and reporting hierarchies to ensure consistent measurement across functions.

• Strategic leadership: Establish and enforce responsible AI governance for BI (policies, approval workflows, model/tool standards, validation and monitoring expectations) to ensure compliant, trustworthy AI-assisted insights at scale.

• Cross-functional collaboration: Partner with Data Management to deliver scalable, governed data products leveraging Databricks and enterprise data platforms.

• Agile leadership: Drive adoption of self-service analytics through semantic models, enablement, and clear documentation, reducing dependency on ad hoc requests.

• Strategic leadership: Set the strategy for AI-enabled self-service and conversational analytics (natural language to governed metrics), ensuring alignment to the semantic layer, KPI governance, and adoption goals.

• Technical excellence: Oversee the design standa...




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