Johnson Johnson is currently seeking aManager, Technology Product Managementto join our Data Insights Product Group in Johnson Johnson Technology (JJT) located in Titusville, NJ.

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 athttps://www.jnj.com/.

Johnson Johnson Technology (JJT), the Enterprise Technology group supporting all business functions under Johnson Johnson is currently recruiting for aManager, Technology Product Management within our Data Insights Product Groupsupporting Johnson Johnson Innovative Medicine Commercial business.

Job Summary:

The role involves shaping the HPT squad's vision and roadmap to deliver impactful products and platform features, balancing business value with technical feasibility. Key responsibilities include prioritizing and translating requirements into user stories, planning squad resourcing, and ensuring alignment with customer needs. The role also demands collaboration with Product/Platform Managers, maintaining security and compliance standards, driving continuous improvement, and leading third-party engagements. It involves facilitating release and sprint planning, synchronizing with other squads, and tracking performance metrics. Additionally, the role includes managing documentation, ensuring clear communication among partners, and actively participating in squad ceremonies to optimize the value flow.

In addition, the Manager, Tech Product Management, Data Insights, will lead and drive innovative GenAI solutions and data pipelines, applying expertise in Python, PySpark, and SQL. Responsibilities include designing and implementing pioneering Generative AI models to enhance patient engagement programs and streamline commercial data processing. Proficiency in Python, PySpark, SQL, and Tableau will be critical in creating end-to-end solutions that turn data into actionable insights, driving both operational efficiency and business growth.

Responsibilities:

Data Pipeline and GenAI Solution Ownership

Serve as solution owner for data pipeline and GenAI products; lead conversations regarding recommendations and solutions, ensuring high quality, efficacy, scalability, and compliance:

GenAI Development: Work closely with business partners to understand requirements and translate them into actionable GenAI and data solutions. Design, develop, and implement state-of-the-art GenAI models (e.g., OpenAI, Bedrock models, Claude, Cohere, etc.) to improve patient engagement and optimize commercial data processing workflows.Data Analytics Pipelines: Build and maintain scalable data pipelines using Python, PySpark, and SQL to process large datasets efficiently for model training, inference, and business intelligence.Patient data management:Collaborate with Heartline program teams to lead and enhance Heartline application report dashboards.Tableau Integration: Develop and integrate data visualizations and dashboards in Tableau to present insights from analytics pipelines, ensuring clear communication with partners.

Define and lead Data Insights solution roadmap and priorities in close collaboration with key partners. Shape ways of working for the program across Data Insights team and core partners.

Shape solution backlog management, governance, and lead teams that lead to the successful delivery of projects to their final project/program objectives.

Define and continuously measure productivity, quality and on-time delivery of Data and GenAI Solution.

Partner with business product owners, business technology leaders, and program functional team leads to understand core program priorities, ensuring the delivery of optimal data and analytics solutions and investments.

Partner closely with JJT teams (data scientists, engineers, and product teams) on product plans and brand needs to drive effective communication, successful delivery, and improved impact of solutions for the business.

Accountable for ensuring continuous high quality of deliverables of data pipelines GenAI solutions in production.

Direct project team members and activities to successfully meet project objectives. Provide mentorship and technical guidance to junior developers, fostering a culture of learning and innovation.

Resolve issues and support organizational change; call out and handle risks to program.

Supervise the progress of key integration components to ensure overall goals, schedule, budget, and benefits are achieved. Ensure adherence to JJ processes and standards.

Contribute to and support a positive team culture in order to enable an authentic, open, and collaborative environment that thrives on the diverse experiences and perspectives of the team.

Stay up-to-date with the latest GenAI research, tools, and technologies, applying relevant advances to improve business outcomes.

Johnson Johnson is currently seeking aManager, Technology Product Managementto join our Data Insights Product Group in Johnson Johnson Technology (JJT) located in Titusville, NJ.

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 athttps://www.jnj.com/.

Johnson Johnson Technology (JJT), the Enterprise Technology group supporting all business functions under Johnson Johnson is currently recruiting for aManager, Technology Product Management within our Data Insights Product Groupsupporting Johnson Johnson Innovative Medicine Commercial business.

Job Summary:

The role involves shaping the HPT squad's vision and roadmap to deliver impactful products and platform features, balancing business value with technical feasibility. Key responsibilities include prioritizing and translating requirements into user stories, planning squad resourcing, and ensuring alignment with customer needs. The role also demands collaboration with Product/Platform Managers, maintaining security and compliance standards, driving continuous improvement, and leading third-party engagements. It involves facilitating release and sprint planning, synchronizing with other squads, and tracking performance metrics. Additionally, the role includes managing documentation, ensuring clear communication among partners, and actively participating in squad ceremonies to optimize the value flow.

In addition, the Manager, Tech Product Management, Data Insights, will lead and drive innovative GenAI solutions and data pipelines, applying expertise in Python, PySpark, and SQL. Responsibilities include designing and implementing pioneering Generative AI models to enhance patient engagement programs and streamline commercial data processing. Proficiency in Python, PySpark, SQL, and Tableau will be critical in creating end-to-end solutions that turn data into actionable insights, driving both operational efficiency and business growth.

Responsibilities:

Data Pipeline and GenAI Solution Ownership

Serve as solution owner for data pipeline and GenAI products; lead conversations regarding recommendations and solutions, ensuring high quality, efficacy, scalability, and compliance:

GenAI Development: Work closely with business partners to understand requirements and translate them into actionable GenAI and data solutions. Design, develop, and implement state-of-the-art GenAI models (e.g., OpenAI, Bedrock models, Claude, Cohere, etc.) to improve patient engagement and optimize commercial data processing workflows.Data Analytics Pipelines: Build and maintain scalable data pipelines using Python, PySpark, and SQL to process large datasets efficiently for model training, inference, and business intelligence.Patient data management:Collaborate with Heartline program teams to lead and enhance Heartline application report dashboards.Tableau Integration: Develop and integrate data visualizations and dashboards in Tableau to present insights from analytics pipelines, ensuring clear communication with partners.

Define and lead Data Insights solution roadmap and priorities in close collaboration with key partners. Shape ways of working for the program across Data Insights team and core partners.

Shape solution backlog management, governance, and lead teams that lead to the successful delivery of projects to their final project/program objectives.

Define and continuously measure productivity, quality and on-time delivery of Data and GenAI Solution.

Partner with business product owners, business technology leaders, and program functional team leads to understand core program priorities, ensuring the delivery of optimal data and analytics solutions and investments.

Partner closely with JJT teams (data scientists, engineers, and product teams) on product plans and brand needs to drive effective communication, successful delivery, and improved impact of solutions for the business.

Accountable for ensuring continuous high quality of deliverables of data pipelines GenAI solutions in production.

Direct project team members and activities to successfully meet project objectives. Provide mentorship and technical guidance to junior developers, fostering a culture of learning and innovation.

Resolve issues and support organizational change; call out and handle risks to program.

Supervise the progress of key integration components to ensure overall goals, schedule, budget, and benefits are achieved. Ensure adherence to JJ processes and standards.

Contribute to and support a positive team culture in order to enable an authentic, open, and collaborative environment that thrives on the diverse experiences and perspectives of the team.

Stay up-to-date with the latest GenAI research, tools, and technologies, applying relevant advances to improve business outcomes.

Required Qualifications:A minimum of a Bachelors with 5 years, or MS with 4 years of relevant pharma sales marketing experience, Computer Sciences, Statistics, Product Management.Life sciences, health care industry, and/or Commercial Pharmaceutical experience.In-depth knowledge and experience delivering solutions to support business unit and commercial experiences for healthcare providers.In-Depth knowledge of GenAI solution development, Python/PySpark, SQLExperience in Data Pipeline development, with a atleast 1 yr on generative AI models (e.g., OpenAI, Huggingface, Claude) and GenAI technology (Langchain, Llamaindex) .Strong experience in developing applications using Python/PySpark. In-depth knowledge of PySpark for large-scale distributed data processing.Strong SQL skills to query, handle, and manipulate large datasets.Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (Docker, Kubernetes) for data pipeline deployment.Experience guiding teams to deliver integrated solutions.Ability to understand, shape, and measure the business value of solutions, while managing competing partner priorities and ambiguity.Excellent problem-solving, analytical, and communication skills.Preferred Qualifications:Working knowledge of any reporting tool (Tableau, PowerBI), Cloud (AWS/GCP/Azure), Git, CI/CD, Agile Methodology - Preferred.Experience in building data and analytics pipelines for large-scale data processing and model deployment.Worked with Tableau, PowerBI or similar data visualization tools to build dashboards and generate insights from data.Solution/Product/Project Management experience.Experience working in an Agile/Scrum environment.Results oriented with strong organization skills and a consistent track record in driving highly sophisticated projects/integrations from start to finish.Comfortable working in a fast-paced environment with competing priorities, multiple stakeholders, matrixed teams, and evolving needs.Demonstrated ability to influence, negotiate, and build collaborative partnerships, teams, and trust across functions.Ability to problem solve and think creatively about data science solutions to execute against a business or program need.Experience working in a collaborative environment using Git, CI/CD, and Agile methodologies.Other:The anticipated base pay range for this position is $99,000 to $170,200 USD.The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis.

Johnson Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visitwww.careers.jnj.com.

#JNJDataScience#JNJIMCommercial-DSRequired Qualifications:A minimum of a Bachelors with 5 years, or MS with 4 years of relevant pharma sales marketing experience, Computer Sciences, Statistics, Product Management.Life sciences, health care industry, and/or Commercial Pharmaceutical experience.In-depth knowledge and experience delivering solutions to support business unit and commercial experiences for healthcare providers.In-Depth knowledge of GenAI solution development, Python/PySpark, SQLExperience in Data Pipeline development, with a atleast 1 yr on generative AI models (e.g., OpenAI, Huggingface, Claude) and GenAI technology (Langchain, Llamaindex) .Strong experience in developing applications using Python/PySpark. In-depth knowledge of PySpark for large-scale distributed data processing.Strong SQL skills to query, handle, and manipulate large datasets.Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (Docker, Kubernetes) for data pipeline deployment.Experience guiding teams to deliver integrated solutions.Ability to understand, shape, and measure the business value of solutions, while managing competing partner priorities and ambiguity.Excellent problem-solving, analytical, and communication skills.Preferred Qualifications:Working knowledge of any reporting tool (Tableau, PowerBI), Cloud (AWS/GCP/Azure), Git, CI/CD, Agile Methodology - Preferred.Experience in building data and analytics pipelines for large-scale data processing and model deployment.Worked with Tableau, PowerBI or similar data visualization tools to build dashboards and generate insights from data.Solution/Product/Project Management experience.Experience working in an Agile/Scrum environment.Results oriented with strong organization skills and a consistent track record in driving highly sophisticated projects/integrations from start to finish.Comfortable working in a fast-paced environment with competing priorities, multiple stakeholders, matrixed teams, and evolving needs.Demonstrated ability to influence, negotiate, and build collaborative partnerships, teams, and trust across functions.Ability to problem solve and think creatively about data science solutions to execute against a business or program need.Experience working in a collaborative environment using Git, CI/CD, and Agile methodologies.Other:The anticipated base pay range for this position is $99,000 to $170,200 USD.The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis.

Johnson Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visitwww.careers.jnj.com.

#JNJDataScience#JNJIMCommercial-DS