Manager Business Intelligence

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

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.

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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

• Bachelors degree in Information Systems Computer Science Business Analytics Statistics or a related field (or equivalent experience).
• 8 years of experience in business intelligence/analytics roles with demonstrated delivery of dashboards and insights at scale.
• Proficiency with Tableau and/or Power BI including data modeling visualization best practices and stakeholder enablement.
• Strong SQL skills and working knowledge of modern data platforms (e.g. Databricks) and data warehousing concepts.
• Demonstrated ability to translate business questions into measurable KPIs analytic approaches and consumable insights.
• Working knowledge of Source-to-Contract (S2C) and/or Procure-to-Pay (P2P) processes including core objects and KPIs (e.g. supplier contract purchase order invoice; spend compliance cycle time).
• Ability to translate procurement stakeholder needs into governed KPI definitions datasets and dashboards that enable self-service and adoption.
• Excellent communication and stakeholder management skills with the ability to influence at multiple organizational levels.
• Experience applying AI-assisted analytics to accelerate insight generation and stakeholder deliverables with established review/approval steps to validate outputs and mitigate risk (privacy bias and hallucinations).

Preferred Skills

• Experience building semantic layers and shared metric stores to support enterprise self-service analytics.
• Familiarity with CI/CD for BI (deployment pipelines version control testing and release automation).
• Experience with data governance tooling and concepts (catalog lineage data quality monitoring).
• Exposure to cloud platforms (Azure AWS or GCP) and lakehouse architectures.

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