Work you’ll do
At Deloitte you 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
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 & Cognitive
In 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 enterprise programs and differentiated strategies to win in their chosen markets.
The Analytics & Cognitive team works 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 as well as client-owned platforms
Deploy automation and 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
6+ years of relevant work experience
2+ years of experience developing architecture solutions for AI use cases
2+ years of experience leading and managing project teams
Experience sizing and scoping projects and running pursuits
An understand of business strategic outlook and how technology will be used to accomplish client's vision and value
Ability to construct an end-to-end architecture (from the Data through UIX) that can scale for solving the business problem using emerging but appropriate technologies
Knowledge of professional software engineering practices for the full software development lifecycle including coding standards, code reviews, source control management, build process, testing and operations
Strong understanding of hardware implications
Strong understanding of the technology landscape including open source, commercial on-premises, and cloud-based tools: Microsoft Cognitive Services, IBM Watson, IPSoft, Pega, Salesforce Einstein, Google Cloud Platform/Tensor Flow, Amazon Web Services/Sagemaker, PowerBI, SparkCognition, Expert System, Numenta, Deepmind, CognitiveScale, CustomerMatrix
Experience in Hadoop, Spark, Storm or related paradigms and associated languages such as Java/C++, R, Python, etc.
Experienced programming knowledge in both SAS and SQL, Operating system experience with UNIX and relational database knowledge such as ORACLE/TERADATA. SAS/Base, SAS/Stat, SAS/Macro preferred
Demonstrated expertise in most of the following: machine learning, deep learning, time-series modeling, propensity and prediction, behavioral nudges, recommenders, anomaly detection, segmentation, AI architecture, AI interface design
Ability to synthesize and recognize abstract patterns, facts, theories, trends, inferences, relationships, key issues, and themes in complex and variable unrelated situations
Some experience with quantitative modeling (design, development & implementation) using algorithm including Decision Trees, Naive Bayes Classification, Ordinary Least Squares Regression, Logistic Regression, Support Vector Machines, Ensemble Methods, Clustering Algorithms, Principal Component Analysis, Singular Value Decomposition, Independent Component Analysis
Strong experience with server-side Web frameworks (Django (Python), Express (Node.js), Play (Java))
Bachelor's Degree preferably in applied mathematics, statistics, computer science, data science, electrical engineering, physics, or closely related field
Expertise in at least one functional application preferred (e.g., prediction models, behavioral analytics, etc.)
Developed architecture for 10+ AI use cases
Formal training in one or many of the following: econometrics, linear and non-linear programming, machine learning, linear algebra
Ability to communicate complex quantitative analysis in a concise and actionable manner
Ability to work independently, manage small engagements or parts of large engagements.
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
How you’ll grow
At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center.
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.
Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world.
We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.