Job
Description
We are seeking an innovative professional to join our team as a Sr Product Portfolio Analyst within the CPO Organization at Thomson Reuters. This role is ideal for an individual who possesses a unique blend of technical expertise in AI/ML, particularly Large Language Models (LLMs), and business acumen. As a Senior Analyst, you will be instrumental in leveraging AI technologies to enhance our portfolio management processes while contributing to business strategy and decision-making. You will partner closely with Product Management, Product Operations, Product Engineering, Finance, and Strategy teams to help determine funding opportunities, provide AI-powered tools to facilitate stakeholder alignment and investment prioritization. You should be able to handle frequent 'context switching' tasks and move seamlessly between micro and macro levels of analysis by connecting strategic plans, corporate objectives, and financial targets with resources and execution plans, all while harnessing the power of AI and LLMs. About The Role: In this opportunity as Senior Product Portfolio Analyst, you will: AI & LLM Integration: Design and implement AI and LLM-based solutions to automate and enhance product reporting, data management, and decision-making processes. Develop and deploy LLM-powered chatbots or virtual assistants to facilitate easier access to product portfolio information and insights. Continuously seek opportunities to leverage AI and LLMs to improve efficiency within the portfolio management team. Data Analysis & Reporting: Develop and maintain comprehensive PowerBI reports integrated with AI-powered insights to support product portfolio management decisions. Analyze data trends using advanced AI/ML algorithms and provide actionable insights to enhance portfolio performance on financial data, resource data, and product data. Business & Financial Analysis: Utilize your business and financial acumen to contribute to the development of business cases and strategic initiatives. Provide analytical support in evaluating financial performance and risk assessment of product portfolios. Automation & Process Improvement: Design and implement automation solutions to streamline reporting and data management processes. Continuously seek opportunities to improve efficiency within the portfolio management team. Maintain and address user access requests and data security levels. Database Architecture & Development: Collaborate closely with IT teams to design, develop, and maintain robust product database solutions. Ensure data integrity and accessibility for portfolio management needs. Collaboration & Communication: Work independently while actively contributing to a collaborative team environment. Communicate effectively with team members and stakeholders, demonstrating strong listening skills and the ability to translate technical concepts into business terms. Partner with Finance, Product Operations, Product Engineering teams to provide support and build tools. Build and maintain comprehensive documentation of reports and tools developed Project Support: Assist in project management activities, ensuring timely delivery of technical solutions that meet business objectives. Support the team in preparing presentations and documentation for internal and external stakeholders. About You: To be considered for this role as Senior Product Portfolio Analyst, you will likely have: Bachelor's degree in Computer Science, Data Science, Information Systems, Business Administration, Finance, or a related field; Master's degree preferred. Experience in portfolio management with 9+ years. Proven experience in portfolio management, product development, or a similar role, with a focus on AI/ML applications. Strong understanding of AI technologies, particularly Large Language Models (LLMs) and their business applications. Demonstrated track record of successfully managing multiple AI-driven projects simultaneously. Excellent communication and interpersonal skills, with the ability to explain complex AI concepts to non-technical stakeholders. Proficiency with Excel, PowerBI, AI/ML tools, databases, and Azure DevOps. Experience in developing and deploying AI models, particularly LLMs, in a business context. Strong analytical and problem-solving abilities, with a focus on leveraging AI for decision-making. Detail-oriented mindset with a focus on accuracy, quality, and ethical AI implementation. Experience working with cross-functional teams and external partners on AI initiatives.
