Lead Data Product Analyst — MedTech Supply Chain

Johnson & Johnson Co.

New Brunswick (NJ)

On-site

USD 109,000 - 175,000

Full time

2 days ago
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Job summary

Johnson & Johnson in New Brunswick, NJ is seeking a Lead Analyst, Data Product to own MedTech data products across their lifecycle. You will translate business needs into governed data models, prioritize demand, and partner with governance, architecture, and delivery teams to deliver measurable outcomes.

You will build trusted data products with clear ownership, metadata, and data-quality standards, enabling consumption, certification, and marketplace publication while focusing on value delivery

Qualifications

  • Bachelor's degree required or equivalent.
  • Experience in data product management, product management, business analysis, data delivery, or related field.
  • Experience leading multifaceted data or analytics initiatives from discovery through delivery.

Responsibilities

  • Lead discovery and prioritization of business problems, use cases, decisions, workflows, and outcomes.
  • Translate use cases into actionable product direction with measurable success and data needs.
  • Lead domain-aligned data product squads across governance, architecture, engineering, platform and delivery teams.
  • Build governed data products with clear ownership, metadata, data-quality requirements, and semantic standards.
  • Prepare and launch products for consumption including certification, marketplace publication, and consumer onboarding.
  • Measure adoption, quality and business value to drive improvements and roadmap decisions.

Skills

Advanced Analytics
Business Intelligence (BI)
Coaching
Collaboration
Data Analysis
Data Quality
Data Visualization
Leading cross-functional teams
Data Science
Leadership

Education

Bachelor's degree

Job description

Johnson & Johnson in New Brunswick, NJ is seeking a Lead Analyst, Data Product to own MedTech data products across their lifecycle. You will translate business needs into governed data models, prioritize demand, and partner with governance, architecture, and delivery teams to deliver measurable outcomes.

You will build trusted data products with clear ownership, metadata, and data-quality standards, enabling consumption, certification, and marketplace publication while focusing on value delivery

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