Lead Analyst, Data Product

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 Science

Job Category:

People Leader

All Job Posting Locations:

New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America

Job Description:

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 https://www.jnj.com./

The Lead Analyst, Data Product owns business partner relationships and assigned MedTech Supply Chain data products throughout their lifecycle. The role translates business needs into useful, governed data models that enable measurable outcomes.

We develop trusted, reusable data products built around real business needs. In this role, you will help prioritize demand, guide lifecycle readiness, and ensure data products are reliable, consumed, and delivering business value.

Duties & Responsibilities

You will partner with supply chain partner teams to understand the problems, business decisions, operational workflows, and use cases that data products need to support. Through workshops and interviews, you will turn business opportunities into clear product scope, requirements, success measures, and acceptance criteria.

You will own assigned data products across their end-to-end lifecycle, from discovery and definition through delivery, marketplace publication, adoption, and continuous improvement. This includes owning product roadmaps and backlogs while ensuring products have the business context, metadata, governance, and readiness needed for successful use.

Key responsibilities include:

• Lead discovery and prioritization of business problems, use cases, decisions, workflows, and desired outcomes.
• Translate prioritized use cases into actionable product direction, defining what the product will deliver, how success will be measured, required data sources, consumers, ownership, and key dependencies.
• Lead domain-aligned data product squads, connecting business partners with governance, architecture, engineering, platform, and delivery teams to set priorities, make decisions, and advance products through their lifecycle.
• Build trusted and governed data products by establishing business definitions, ownership, metadata, data-quality requirements, semantic standards, and reusable data models.
• Prepare and launch products for consumption, including certification, marketplace publication, documentation, support models, service-level agreements, and consumer onboarding.
• Drive ongoing product performance and improvement by measuring adoption, quality, performance, feedback, and business value. Use these insights to prioritize improvements, address risks, and communicate outcomes.

The Lead Analyst will also help resolve delivery issues and surface dependencies, funding needs, policy questions, and cross-product decisions requiring broader alignment.

Qualifications:

Education:

• A minimum of a bachelor’s degree and/or University degree is required

Successful candidates will bring experience in data product management, product management, business analysis, data and analytics delivery, or a related field. Experience leading multifaceted data or analytics initiatives from discovery through delivery is highly valued.

You should be comfortable working directly with business domain partners to uncover opportunities, challenge assumptions, identify ambiguity, and translate business problems into clear requirements. The role requires good communication skills and an ability to bring business and technical specialists together across organizational boundaries.

Knowledge or experience in the following areas is valuable:

• Data requirements, source systems, data modeling, integration, governance, data quality, and data consumption

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