This role pays less than
76%
of similar roles. Most pay
$167,356–$230,337
— the shaded band above.
At the midpoint, this role pays about
$167k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
About Johnson & Johnson
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has
63 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 54 roles with salary data.
As the Senior Manager Technical Product Owner AI Workbench, you will join the Content & Marketing Experiences Product Group within Innovative Medicine Technology to lead a strategic digital transformation initiative. You will serve as the primary product owner for the Marketing Workbench, a flagship platform in the AI Next Frontier portfolio designed to unify the end-to-end commercial marketing lifecycle. Your daily responsibilities include defining the technology strategy and roadmap, managing the product backlog, and overseeing feature prioritization to integrate insights generation, content creation, and automated workflows into a seamless experience. You will leverage core competencies in product management, agile methodologies, and technical leadership to translate complex business needs into scalable capabilities. The role focuses on solving marketing inefficiencies by integrating intelligent agents, enterprise data, and AI-powered decision support to streamline operations within the highly regulated healthcare and life sciences domain.
Define and evolve the technology strategy, product roadmap, and lifecycle management for the Marketing Workbench platform.
Translate business objectives and user needs into scalable technical requirements and prioritized delivery plans.
Manage the product backlog, including feature prioritization, requirement definition, and release planning.
Lead product discovery activities such as user research, journey mapping, and workflow analysis.
Design AI-enabled workflows to integrate insights, content creation, and automated decision support into a seamless experience.
Partner with Engineering, Data, and Security teams to ensure solutions meet enterprise standards and compliance requirements.
Build partnerships across marketing, legal, and technology departments to align stakeholders on shared goals.
Manage relationships with technology providers and oversee vendor evaluations and implementation strategies.
What we're looking for
Bachelor's degree in Technology, Business, Marketing, Engineering, Computer Science, Information Systems, or a related field.
Master's degree, MBA, or equivalent advanced degree (preferred).
8+ years of experience in Product Management, Product Ownership, Digital Products, Marketing Technology, Commercial Technology, Enterprise Software, Digital Transformation, or related disciplines.
Demonstrated experience leading enterprise-scale digital products from strategy through implementation and ongoing optimization.
Experience defining product roadmaps, prioritizing investments, and delivering measurable business outcomes.
Strong understanding of agile product management methodologies and modern product development practices.
Experience leading complex cross-functional initiatives within highly matrixed organizations.
Experience managing technology vendors and strategic delivery partners.
Experience leading digital products that leverage Generative AI, agentic workflows, workflow orchestration, or intelligent automation (preferred).
Experience working in healthcare, life sciences, pharmaceuticals, or other highly regulated industries (preferred).
AI
ML
Gemini
Claude
Google Apps Script
Product Management
Software Engineering
Analytics
Statistics
Operations Research
Information Systems
Prototyping
Automation Tools
Generative AI
LLM-as-Judge
AI Agents
Data Science
Product Management
Streaming Data Platforms
Observability
Software Engineering
Analytics
Statistics
Operations Research
Information Systems