With a current total headcount of 94,000+ Deloitte ranks among the leading professional services firms in audit, advisory, tax, and consulting services in the United States across more than 20 industries. The company is headquartered in New York with more than 80 US locations and hundreds more around the world. Whether you embark on your career journey with this company as a student or as a professional, you will realize that Deloitte is about people who come from several kinds of places, with versatile background and area of study, representing nearly every spot on the globe and source of inspiration. The company hires in the following business areas: Audit and Insurance, Consulting, Risk and Financial Advising, Tax and Internal Services. Deloitte is committed to respond to the well-being and development needs of employees next to its highly attractive benefits packages.
Position summary Work you’ll do
A Manager at Deloitte will manage and deliver components of client engagements that identify, design, and implement technology and creative business solutions for large companies. Key responsibilities will include: Architect, Position, Design, Develop and Deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services (e.g. Vision/Image, Textual/Language processing).
Manage teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures.
Formulate planning, budgeting, forecasting and reporting strategies.
Manage full life cycle implementations.
Develop statements of work and/or client proposals.
Identify business opportunities to increase usability and profitability of information architecture.
Experience with program leadership, governance and change enablement.
Develop and manage vendor relationships.
Lead workshops for client education.
Manage resources and budget on client projects.
Assist and drive the team by providing oversight.
Analytics & CognitiveIn this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. Analytics & Cognitive will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
Qualifications 6+ years of relevant Analytics consulting or industry experience
At least 2 years experience working with SparkCognition, Expert System, Microsoft Cognitive Services, IBM Watson, Numenta, Deepmind, CognitiveScale, CustomerMatrix, IPSoft, Pega, Salesforce Einstein, Google Cloud Platform/Tensor Flow, or Amazon Web Services/Sagemaker, and common open source scripting languages
At least 6 months experience working with Amazon Lex or IPSoft Amelia
At least 2 years of experience in Natural Language Processing (NLP), Linguistics, Advanced Semantic Design
Demonstrated expertise with at least 3 full life cycle analytics engagement across strategy, design and implementation.
Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
Ability to travel 80-100% of the time (Monday – Thursday/Friday)
Preferred: Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) Frameworks to process end to end data management life cycle for NLP, Machine Log Algorithms, Text Mining algorithms.
Ability to work independently and manage multiple task assignments.
Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
An advanced degree in the area of specialization is preferred.