Technical Product Engineer – Employee Wellbeing & Enterprise Learning

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.

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Position Summary

Johnson & Johnson is seeking a Technical Product Engineer - Employee Wellbeing & Enterprise Learning to join Corporate Business Technology. This hands-on individual-contributor role will support digital products and platforms serving Employee Health & Wellbeing and J&J Learn. The individual will partner with Product Owners, engineering and operations teams, architecture, experience design, cybersecurity, privacy, data teams, and external suppliers to translate business priorities into secure, scalable, supportable, and user-centered solutions.

The role is responsible for hands-on product execution across discovery, requirements, solution assessment, delivery coordination, testing, release readiness, operational support, and continuous improvement. It will help advance employee and administrator experiences across a diverse wellbeing and enterprise learning ecosystem while maintaining appropriate internal ownership of product decisions, documentation, controls, and institutional knowledge.

The ideal candidate combines digital product management discipline with strong technical and analytical capabilities, working in a lead role within a squad-based model across high performing teams. The candidate should be comfortable working with mobile applications, platform integrations, data and analytics, automation, and emerging artificial intelligence capabilities, while applying responsible governance for employee-facing technology and sensitive employee data.

Key Responsibilities

Product discovery and requirements

• Partner with Product Owners and business stakeholders to understand wellbeing and learning priorities, user needs, business processes, regulatory considerations, and measurable outcomes.

• Translate priorities into product requirements, user stories, acceptance criteria, process flows, data needs, integration requirements, test scenarios, release plans, and operational documentation.

• Analyze current-state experiences and identify opportunities to simplify processes, improve accessibility and usability, reduce manual effort, and increase employee and administrator adoption.

• Maintain well-structured product backlogs and support prioritization by clearly communicating value, dependencies, effort, risk, and lifecycle impact.

Solution assessment and technical delivery

• Evaluate solution options across approved enterprise platforms, mobile technologies, external vendor products, integrations, automation, data services, and custom capabilities.

• Assess options based on user value, security, privacy, accessibility, scalability, performance, maintainability, supportability, cost, and long-term lifecycle impact.

• Coordinate technical design, configuration, development, integration, data mapping, user acceptance testing, deployment, and post-production validation across internal and supplier teams.

• Conduct impact assessments for platform releases, vendor changes, enterprise initiatives, new integrations, and changes to connected systems or business processes.

• Promote reusable patterns, common capabilities, and platform synergies across Employee Wellbeing and Enterprise Learning products.

• Partner with experience-design and accessibility specialists to validate journeys, prototypes, content, and delivered functionality.

• Support appropriate data integrations and reporting across wellbeing, learning, HR, identity, and vendor ecosystems.

• Apply cybersecurity, privacy, data-governance, records-management, change-management, segregation-of-duties, and least-privilege requirements.

• Maintain product requirements, process flows, decision records, data mappings, test evidence, release notes, runbooks, support procedures, and knowledge articles.

AI and digital innovation

• Maintain awareness of evolving artificial intelligence, large language model, intelligent-agent, automation, mobile, and analytics capabilities relevant to wellbeing and learning products.

• Participate in evaluations and proofs of concept that improve personalization, content discovery, support, administration, data quality, productivity, and employee experience.

• Apply responsible-AI principles, including privacy, security, transparency, appropriate data use, bias and risk assessment, testing, human oversight, and governance.

• Clearly distinguish between currently available capabilities, roadmap concepts, and experimental solutions when making recommendations.

Collaboration and supplier management

• Work effectively with global and cross-functional teams across business, product, engineering, architecture, design, data, security, privacy, operations, and support.

• Communicate product decisions, technical concepts, risks, tradeoffs, dependencies, and recommendations clearly to technical and non-technical audiences.

• Partner with external suppliers while maintaining internal ownership of product direction, requirements, standards, documentation, operational readiness, and institutional knowledge.

• Review supplier deliverables, service performance, roadmaps, and proposed solutions; identify unnecessary complexity, risk, cost, or long-term dependency.

• Share knowledge through documentation, demonstrations, reusable examples, product reviews, and mentoring.

Required Qualifications

• Bachelor’s degree in computer science, information systems, engineering, business technology, digital product management, or a related field, or equivalent relevant experience.

• Minimum of four years of professional experience supporting, delivering, or managing enterprise digital products, platforms, or applications.
• Advanced English

• Experience translating business needs and user insights into product requirements, user stories, acceptance criteria, process flows, test plans, and operational documentation.

• Experience with software-development lifecycle practices, testing methodologies, release management, change control, and production support.

• Experience working in Agile and Waterfall delivery environments and executing within a squad-based operating model

• Ability to assess solutions across security, privacy, accessibility, scalability, usability, maintainability, supportability, and lifecycle dimensions.

• Experience troubleshooting issues and coordinating resolution across applications, integrations, vendors, and support teams.

• Strong written and verbal communication, interpersonal, facilitation, and liaison skills, including the ability to communicate effectively with technical and non-technical audiences in a multicultural environment.

• Ability to collaborate effectively across cultures, functions, suppliers, and time zones.

• Sound judgment when working with sensitive employee, health, learning, and HR-related data.

Preferred Qualifications

• Experience serving as a product owner, product engineer, business systems analyst, or technical product manager for multiple enterprise products or business information systems.

• Experience with employee wellbeing, occupational health, benefits, human resources, talent, learning-management, learning-experience, content-management, or skills platforms.

• Experience with mobile applications, identity and access management, APIs, middleware, cloud services, data platforms, analytics, automation, or observability.

• Practical experience with artificial intelligence, large language models, intelligent agents, or AI-enabled enterprise platforms.

• Experience supporting global products in a regulated environment with formal privacy, cybersecurity, audit, accessibility, and change-control obligations.

• Experience conducting vendor evaluations, technical assessments, third-party risk reviews, proofs of concept, and supplier performance reviews.

• Product Owner, Scrum Master, Agile, ITIL, cloud, security, accessibility, or related professional certification.

• Experience with product analytics, user research, service design, experimentation, and adoption measurement.

Core Capabilities

• Strong product, technical, and analytical problem-solving

• End-to-end systems and employee-journey thinking

• User-centered, secure, accessible, and maintainable solution design

• Ownership from discovery through production support

• Clear communication of value, technical decisions, dependencies, and risks

• Data-informed decision-making and outcome measurement

• Learning agility, curiosity, and continuous improvement

• Effective collaboration across internal and external teams

• Sound judgment and integrity when handling sensitive employee data

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