Sr. DT Business Process Design Analyst

Description and Requirements 岗位职责/Job Responsibilities: AI & Digital Transformation Identify and drive AI-enabled transformation opportunities across PD business processes. Assess AI use cases and define business requirements, operating models, and adoption strategies. Conduct process, data, and knowledge readiness assessments to support AI solution deployment. Partner with business and technical teams to integrate AI capabilities into enterprise workflows. Business Process & Solution Design Lead end-to-end business process analysis, redesign, and optimization initiatives. Translate business needs into scalable digital solutions and transformation roadmaps. Drive cross-functional alignment among business, DT, and IT stakeholders. Product Data & Governance Support Product Master Data governance and data quality improvement initiatives. Establish data standards, governance processes, and business ownership models. Improve data readiness and accessibility for AI and analytics applications. Program Leadership Lead complex transformation projects from planning through deployment. Manage scope, milestones, risks, dependencies, and stakeholder communications. Develop executive-level updates, business cases, and transformation recommendations. 岗位要求/Job Requirements： Experience 8+ years of experience in Digital Transformation, Business Process Design, Product Development, Data Management, or Program Management. Proven experience leading cross-functional business transformation initiatives. Experience working with Product Development, Product Lifecycle Management (PLM), or related domains preferred. Functional Skills Business Process Design & Reengineering Digital Transformation Strategy AI Transformation & Adoption Product Master Data Management Data & Knowledge Governance Program & Project Management Stakeholder Management AI & Technology Skills Understanding of Generative AI, AI Agents, and enterprise AI transformation concepts. Experience identifying and assessing AI business use cases. Knowledge of data and knowledge readiness for AI-enabled solutions. Familiarity with AI governance, adoption frameworks, and emerging AI technologies. Leadership Competencies Strategic Thinking Problem Solving Executive Communication Cross-functional Collaboration Influencing Without Authority Results Orientation