PwC Advisory Big Data Technologies - Manager in Chicago, Illinois
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PwC Advisory helps our clients with their most challenging imperatives from strategy through execution. We combine the breadth of knowledge of over 48,000 global professionals with deep industry knowledge to deliver custom solutions for our clients. We work with the world's largest and most complex companies and understand the unique business issues and opportunities our clients face.
Our clients are focused on improving business performance, responding quickly and effectively to crisis situations, and extracting value from transactions. Our growing Industrial Products and Services industry team provides strategy, management, technology and risk consulting services to help a diverse set of clients around the world anticipate and address their most complex business challenges. This industry vertical team includesâ€‹ clients within theâ€‹â€‹ Industrial Productsâ€‹ and â€‹Energyâ€‹, Utilities & Mining sectors.
Our Data and Analytics consultants help clients maximize the value of their data.
This high performing team helps clients define their
information strategy, architecture and governance, get the most value from business intelligence and analytics, and implement enterprise content and data management solutions to enable business insights, reduce cost and complexity, increase trust and integrity, and improve operational effectiveness.
Minimum Year(s) of Experience: 6
Minimum Degree Required: Bachelor's degree in Computer Science or any MIS related field.
Demonstrates extensive knowledge and/or a proven record of success executing various aspects of client engagements and/or projects within a professional services environment, including the following areas:
Enterprise Hadoop/Spark implementations, NoSQL technologies (Cassandra,MongoDB,Neo4j etc.), Big Data Platforms (Cloudera,Hortonworks etc.) and advanced analytics technologies (predictive as well as prescriptive
SAS,R,Python, Machine Learning etc.);
Data and analytics integration, application architecture interlocking unstructured and structured data within the enterprise;
Development of Data warehouses hosted on MPP (massively parallel processing) architecture, distributed systems and analytics platforms; and,
Cloud-based Data and Analytics platform solutions such as Amazon, Microsoft Azure or Google Cloud.
Demonstrates extensive abilities and/or a proven record of success within a professional services environment to manage various aspect of client engagements, including the following areas:
Developing blueprints and technical playbooks for complex Big Data analytics solutions;
Collaborating with appropriate parties to develop reference architecture and solution patterns for implementation;
Participating in thought leadership activities in the Big Data and analytics space;
Developing unique sector or industry specific point of view on implementing and sustaining enterprise level Big Data and analytics solutions;
Assisting in collateral development for client meetings, pursuits and proposals;
Serving as an engagement lead or subject matter specialist in external client facing projects;
Creating and conducting technical trainings and the onboarding of new staff;
Working collaboratively on teams with a variety of technical and non-technical skill sets;
Prioritizing and handling multiple tasks and both researching and analyzing pertinent client, industry, and technical matters;
Utilizing problem-solving skills and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
Managing junior level resources in delivering a complex Big Data strategy / implementation project.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law.