IBM APAC Lead Data Governance & Ware/Lakehouse Solutions 

Singapore, Singapore 

415481217

Your Role and Responsibilities
Brand Technical Specialist are the technical experts and advisors to clients, IBM sales teams and IBM Business Partners. As a Brand Technical Specialist, you understand the client’s business requirements, technical requirements and competitive landscape. You also apply your business insights, build and maintain client relationships, incorporate software and services into client solutions and ensure client readiness for the implementation of technical solutions. This is an opportunity to shape the future for both IBM and its clients.In This Role You Will

• Actively develop and progress qualified opportunities with the IBM Sales Team in Data and AI with focus on data warehouse, data lakehouse & data governance
• Deliver solution workshops, product demonstrations, technical education, and Proof of Concepts while articulating business value for our Cloud Pak for Data, NPS, watsonx solutions
• Act as a deep technical expert in sales opportunities, and leverage your experience to make presales engagements successful
• Collaborate with other internal IBM teams to help customers understand why modernizing to a hybrid cloud model supports a long-term business strategy
• Maintain an understanding of the client’s industry, including industry trends, industry business processes
• Collaborate with IBM sales teams to define, design, and detail the technical aspects and feasibility of proposed solutions
• Support customers across the sales cycle
• Assist with Request for Proposal (RFP)/Request for Information (RFI) and other technical questionnaires

Required Technical and Professional Expertise

• Minimum of 5 years of previous experience in a Technical Sales/Solution Consultant/Sales Engineer role or experience work with data warehouse and data governance solutions in a business environment
• Experience with data governance solutions such as Watson Knowledge Catalog, Collibra, Informatica, or Infosphere Governance Catalogue.
• Proficiency in a data science programming language such as Python or R
• Experience with statistics/machine learning packages such as TensorFlow, Pytorch, Scipy, Keras, Numpy, Pandas, or Spark MLlib.
• Experience with data integration tools such as DataStage, Talend, Azure Data Factory, or SQL Server Integration Services.

Preferred Technical and Professional Expertise

• Experience with Big Data technologies such as Hadoop and Spark
• Experience with IBM DataOps solutions
• Experience with relational and non-relational data stores like Hadoop, Object Stores, DB2, Netezza, MongoDB, or EDB
• Experience with data lake and data fabric concepts