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Technology Advisory & Strategy - Technology Strategy Senior Manager

Kuala Lumpur Job No. r00234626 Full-time - Hybrid

Job Description

  • Identifying, assessing, and solving complex business problems for
  • Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models
  • Called upon to apply your solid understanding of Data, Data on cloud and disruptive technologies.
  • Driving enterprise business, application, and integration architecture
  • Helping solve key business problems and challenges by enabling a cloud-based architecture transformation, painting a picture of, and charting a journey from the current state to a “to-be” enterprise environment
  • Assisting our clients to build the required capabilities for growth and innovation to sustain high performance
  • Managing multi-disciplinary teams to shape, sell, communicate, and implement programs
  • Experience in participating in client presentations & orals for proposal defense etc.
  • Experience in effectively communicating the target state, architecture & topology on cloud to clients
  • Build strategy and roadmap for data migration to cloud
  • Architect large scale data lake and DW on cloud solutions using AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, or Cloudera
  • Implementing programs/interventions that prepare the organization for implementation of new business processes
  • Deep understanding of Data and Analytics platforms, data integration w/ cloud
  • Provide thought leadership to the downstream teams for developing offerings and assets area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors

Qualifications

  • Minimum of 6-10 years large scale consulting experience and managing teams in a consulting environment or at high tech companies

  • We are looking for experienced professionals with information strategy, data architecture, data on cloud, data modernization, and data operating model experience across all stages of the innovation spectrum, with a remit to build the future in real-time. It is also good to have data governance, data quality, data management, master data management and data security experience

  • The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources.

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