Principal Product Management

About the role

The Principal Product Manager, Content Transformation is responsible for identifying, prioritizing, and delivering the highest-impact opportunities to modernize our content ecosystem through AI and automation. This leader will develop a deep understanding of our content workflows, tax domain expertise, and product development processes. They will assess where AI can drive meaningful improvements in efficiency, quality, speed, and scale while ensuring appropriate human oversight and governance. Success in this role requires a rare combination of product leadership, operational transformation experience, AI fluency, and execution excellence. The ideal candidate can move seamlessly between strategy and implementation, defining long-term operating models while also building prototypes, testing AI solutions, and partnering directly with teams to implement new ways of working. As Thomson Reuters' most senior individual contributor product role, the Principal Product Manager is expected to exercise significant autonomy, influence senior leaders, navigate ambiguity, and drive cross-functional alignment across multiple teams and disciplines.

Responsibilities

• Define and Lead the Content Transformation Strategy Create and execute a multi-year roadmap to transform the Tax & Accounting content organization through AI and automation. Identify and prioritize transformation opportunities across content acquisition, interpretation, authoring, validation, maintenance, and product integration workflows. Establish clear success metrics and business cases that demonstrate measurable operational and customer impact.
• Reimagine How Subject Matter Expertise Is Applied Partner closely with Product Content leaders, tax analysts and other domain experts to understand tax content, software, and customer workflows and pain points, identifying opportunities to deliver higher-quality content faster, more accurately, and at greater scale through AI-enabled processes. Design future-state workflows that effectively combine AI capabilities with human expertise. Help evolve roles from manual content processing and translation activities toward higher-value work such as prompt development, exception management, quality evaluation, and expert decision-making.
• Build AI-Powered Workflow Solutions Work hands-on with Engineering, Data Science, TR Labs, and business stakeholders to prototype and deliver AI-enabled capabilities. Work with product content and tech partners to evolve capabilities and expertise by understanding internal development needs, exploring new technologies, evaluating development options, and advocating for investment. Design and implement human-in-the-loop processes that balance automation, quality, compliance, and trust. Apply technologies including Generative AI, agentic workflows, machine learning, workflow automation, and orchestration platforms to solve complex content challenges.
• Drive Organizational Change Lead cross-functional transformation initiatives that span Product, Content, Operations, Technology, and Compliance teams. Build alignment among leaders and stakeholders around future-state processes, tools, and operating models. Champion adoption of new workflows and ways of working across the organization.
• Measure and Optimize Outcomes Establish metrics to evaluate efficiency gains, quality improvements, cost savings, and business impact. Continuously identify opportunities for optimization and expansion of AI-enabled workflows. Use data and experimentation to guide investment decisions and roadmap priorities.
• Serve as a Thought Leader Stay at the forefront of AI, automation, knowledge management, and digital transformation trends. Help shape Thomson Reuters' strategy for