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Data Analytics Lead

1 month ago

Sydney, New South Wales, Australia Infosys Singapore & Australia Full time

As a Senior Principal of Data Analytics at Infosys Consulting, you will lead the development and delivery of service offerings that drive business value for our clients. With a strong background in management consulting, you will provide insights into new and emerging perspectives and design operating & business models specific to Big Data and other emerging industry capabilities.


You will have the opportunity to work with clients on complex business challenges, such as defining and delivering hybrid & multi-cloud strategy/roadmap, migration, and adoption. Additionally, you will be responsible for pursuing and growing deep client relationships, leading to downstream engagements and account expansion.


Key skills for this role include well-defined strong management consulting experience across Banking-Finance or Telco, ability to design operating & business models specific to Big Data and other emerging industry capabilities, and experience in leading RFPs/Tender responses on a large scale.


We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. As a Senior Principal of Data Analytics, you will have the opportunity to work with a diverse workforce and contribute to the firm's growth through thought leadership and intellectual property generation.


At Infosys Consulting, you will discover a truly global culture, highly dedicated and motivated colleagues, a co-operative work environment, and interesting training opportunities. You will have the chance to further develop your solution design, implementation, and project management skills while working on best practice solutions.


To succeed in this role, you should have a strong track record of delivering hybrid & multi-cloud strategy/roadmap, migration, and adoption, as well as experience with Cloud domain (AWS, Azure, Google, private cloud providers) and emerging business priorities like Application Portfolio Rationalization, AI, and ML.