Lead Product Owner for Smart Manufacturing & AI - Finance

Define and communicate the product vision and roadmap for finance-focused AI initiatives, including deployment and operational strategies. Provide technical leadership within multi-functional teams; define requirements for proposed solutions and prioritize & coordinate activities between engineering teams & business function processes. Spearhead advanced financial tool development collaborating with data science and UX/UI teams to gather feedback, craft wireframes, and build interactive prototypes. Define and implement data mapping strategies by working with data engineers and business analysts to trace data flows from source systems (e.g., ERP, MES) to analytical platforms, ensuring semantic consistency, transformation logic, and alignment with reporting requirements. Collaborate with global data experts and functional leaders to deliver AI projects and advanced analytics use cases, while translating business requirements into user stories and technical specifications. Drive agile development cycles, including sprint planning, reviews, and retrospectives, to ensure timely delivery and continuous improvement. Conduct exploratory data analysis (EDA) using tools like Python, SQL, or Power BI to uncover trends, anomalies, and correlations. Collaborate with data architects to validate data models; and maintain comprehensive documentation of data lineage, transformation rules, and analytical assumptions to support transparency and audit ability. Bachelor's degree in Engineering, Computer Science, Finance, or related field. 5+ years' experience in roles like Product Ownership, Product Management, Solution Delivery, Sales, BU, or Finance, ideally in a setting dedicated to innovation. Experience with agile methodologies and tools (e.g., Jira, Confluence). Ability to effectively communicate complex ideas to large groups as well as strong presentation skills when needed. Strong problem-solving skills. Masters degree in Engineering, Computer Science, Finance, or related field. Experience working in a semiconductor or high-tech manufacturing environment. Highly proficient in financial data analysis and reporting tools, including Power BI and Tableau. Familiarity with data analytics platforms and cloud infrastructure Strong understanding of Industry 4.0 technologies, data analytics, and AI/ML applications.