Technical Product Owner (TPO) – Health Care Compliance Data, Intelligence & Automation

Role Summary

We are looking for a proactive and results-oriented Technical Product Owner (TPO) according to the High-Performance Team (HPT) model to spearhead the end-to-end execution of Health Care Compliance (HCC) Data, Intelligent Automation, and Artificial Intelligence products and platforms as part of the Data, Intelligence & Automation (DI&A) team. As Lead for HCC Data, Intelligence & Automation, you will be accountable for building and sustaining a High-Performance Team (HPT) culture. You will drive strategic vision, execution, and transformation for Risk Function’s Data, Intelligent Automation, and AI initiatives, ensuring that HPT principles—such as trust, collaboration, accountability, continuous improvement, and business value results are embedded in every aspect of team and product delivery. Location: New Brunswick, New Jersey, United States of America.

Responsibilities

• Act as the TPO for HCC products and platforms, driving the vision and strategy to meet stakeholder needs.
• Collaborate with cross-functional teams, including the business, functional product groups, technology services, and HPT chapter expert services to gather requirements, prioritize features, and deliver comprehensive analytics solutions.
• Define and manage the product backlog, ensuring that user stories and acceptance criteria are clear and actionable.
• Translate business requirements into technical specifications, working closely with data engineers and developers to ensure timely delivery of enhancements and features.
• Monitor platform performance, identify areas for improvement, and recommend enhancements to support informed decision-making.
• Conduct regular QBR’s/stakeholder reviews and gather feedback to continuously enhance the product/platform's capabilities and user experience.
• Stay informed about industry trends and best practices in data, advanced analytics, artificial intelligence and intelligent automation assessing new technologies as appropriate.
• Lead training sessions and workshops for users to promote platform adoption and maximize its potential.
• Create a compelling value proposition to secure development budget, demonstrating a clear understanding of the project benefits and key results.
• Responsible for maintaining portfolio information in Nexus, Assess Management, Lean IX, ITSM and IAM.

Qualifications

• A minimum of 1 - 2 years in roles that create a tangible business impact through Data, Intelligent Automation, and Artificial Intelligence (Data Science, Machine Language, GenAI, etc.) is required.
• A minimum of 3 years of IT-related experience is required.
• Proven experience in digital product management, preferably in a data analytics environment, along with strong analytical skills to analyze, and evaluate data and to drive appropriate recommendations and decisions for senior leaders and sponsors.
• A strong understanding of Risk processes and systems where relevant, along with experience in Healthcare & Compliance, Global Brand Protection, Engineering & Property Services, Global Security, etc., would be considered valuable assets.
• Excellent communication and interpersonal skills, capable of engaging effectively with stakeholders at all levels.
• Experience with High Performance Teams and Agile methodologies and tools (e.g., Scrum, JIRA) is strongly recommended.
• Experience with several of the following technologies: Microsoft Azure Databricks, OpenAI’s GPT, Neo4j Alation, Commando, PostgreSQL, Visualization & Reporting tools (Cognos, Tableau, Power BI), Microsoft CoPilot and other agentic AI tools – strongly recommended.

Skills

• Proven experience leveraging Artificial Intelligence (AI) technologies to enhance product capabilities, improve user experience, and drive business outcomes.
• Understanding AI concepts and frameworks, including agentic AI, with the ability to translate technical capabilities into product strategies.
• Experience integrating AI-driven features into digital products or platforms, ensuring alignment with customer needs and organizational goals.
• Ability to collaborate with data science and engineering teams to define AI requirements, evaluate feasibility, and prioritize AI-enabled functionality.
• Awareness of ethical considerations and responsible AI practices, ensuring compliance with industry standards and organizational policies.

Education

• A minimum of a bachelor’s degree in information technology, Management Information Systems, Data Science or a related field is required.