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.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

Brazil R-109167, Colombia R-105712

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Business Intelligence

Job Category:

Professional

All Job Posting Locations:

Bogotá, Distrito Capital, Colombia

Job Description:

Lead Analyst, Data Product

Summary

The Lead Analyst, Data Product owns stakeholder relationships and the lifecycle of assigned MedTech Supply Chain data products, translating end-user needs into useful, governed data models and measurable business outcomes. Combining product judgment, data fluency, governance execution, and cross-functional leadership, this role prioritizes demand within domain direction, coordinates lifecycle readiness, and improves adoption, reuse, quality, service performance, and realized value.

Duties & Responsibilities

• Discover and prioritize the business problems, decisions, workflows, use cases, and outcomes that data products must support through stakeholder workshops and interviews.
• Translate prioritized use cases into a product charter with clear scope, success measures, acceptance criteria, requirements, domains, source systems, owners, consumers, and dependencies.
• Own assigned data products across their lifecycle from discovery through deployment, marketplace publication, adoption, and enhancement, maintaining the roadmap, prioritized backlog, readiness evidence, metadata record, adoption plan, and performance scorecard.
• Lead domain-aligned data product squad(s) and align business stakeholders, data stewards, data modelers, architects, engineers, platform teams, and delivery partners on priorities, responsibilities, decisions, and required artifacts and approvals.
• Establish governance and build readiness by defining ownership, business definitions, metadata, data-quality requirements, semantic standards, and reusable data models validated against business use cases.
• Coordinate delivery handoffs, resolve issues within the product team, and escalate consumer-impacting risks, dependencies, funding needs, policy questions, and cross-product trade-offs.
• Prepare products for certification, marketplace publication, and consumer onboarding with complete documentation, support models, service-level agreements, approved metadata, and consumer guidance.
• Drive stakeholder decisions and continuous improvement by representing products in governance forums; monitoring adoption, usability, realized value, reuse, quality, service performance, and feedback; prioritizing enhancements; and reporting progress, risks, performance, and outcomes.

Qualifications

• 5+ years of experience in data product management, product management, business analysis, data and analytics delivery, or a related role, including leading complex data or analytics initiatives from discovery through delivery.
• Strong product judgment across consumer needs, domain outcomes, and data product lifecycle management.
• Ability to uncover requirements from business subject-matter experts, challenge assumptions, identify ambiguity, and ask probing questions.
• Strong communication and translation skills across business and technical teams, with the ability to influence stakeholders and coordinate specialists in a matrixed environment without direct authority.
• Understanding of requirements, source systems, data modeling, governance, data quality, integration, and data consumption.
• Familiarity with enterprise data platforms, data marketplaces, data mesh or domain-oriented models, metadata, lineage, business glossaries, stewardship, and data-quality rules; experience with governance platforms such as Alation is an asset.
• Experience supporting Supply Chain domains such as planning, sourcing and procurement, manufacturing, logistics, distribution, or order fulfilment.
• Experience in MedTech, pharmaceutical, healthcare, or another regulated industry, and with globally distributed teams including European or nearshore partners, is preferred.

Other

• May require up to 10% domestic and/or international travel based on business needs.
• Role is required to be fully onsite per attendance policy.

Johnson & Johnson is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Required Skills:

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Coaching, Communication, Data Analysis, Database Management, Data Governance, Data Management, Data Privacy Standards, Data Quality, Data Savvy, Data Security, Execution Focus, Information Security Risk Management, Privacy-Enhancing Computation (PEC), Problem Solving, Report Writing