Data Designer-Data Product

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As a Data Designer for Data Products, you will transform analytical and business requirements into scalable and secure data products. This role involves applying industry and business domain knowledge to deliver high-quality data products, leveraging various tools and assets to automate design work and ensure compliance with governance and ethical standards. Your primary responsibilities will include:

• Data Modeling Development: Developing scalable, secure, and consumption-ready data products by consolidating structured, semi-structured, and unstructured data from trusted platforms.
• Design Automation: Automating design work products, including enterprise and consumption-layer data models, orchestration components, and metadata generation, using available assistants and assets.
• Quality Assurance: Applying quality assurance and defect resolution to ensure data products meet data quality and SLA expectations, and performing ongoing DataOps maintenance.
• Compliance Management: Ensuring compliance with governance and ethical standards, and introducing agentic workflows for repetitive tasks to optimize data product delivery。
• Data Modeling Expertise: Exposure to developing scalable, secure, and consumption-ready data products by consolidating structured, semi-structured, and unstructured data from trusted platforms.
• Design Automation Skills: Experience with automating design work products, including enterprise and consumption-layer data models, orchestration components, and metadata generation, using available assistants and assets.
• Quality Assurance Knowledge: Exposure to applying quality assurance and defect resolution to ensure data products meet data quality and SLA expectations.
• Data Governance Awareness: Experience with ensuring compliance with governance and ethical standards, and introducing agentic workflows for repetitive tasks to optimize data product delivery.
• Technical Tool Proficiency: Exposure to leveraging GenAI assistants, ICA agents, ISV copilots, and IBM assets to automate design work and ensure compliance with governance and ethical standards.
• Advanced Data Knowledge: Exposure to industry and business domain knowledge to define data contracts, utilities, and templates.
• Technical Tool Expertise: Familiarity with leveraging GenAI assistants, ICA agents, ISV copilots, and IBM assets to automate design work.
• DataOps Experience: Understanding of ongoing DataOps maintenance to enable trusted, governed, and high-performing data ecosystems.