S&C GN - Tech Strategy & Advisory -Data Strategy - Consultant

Skill/Operating Group 

Technology Consulting 

Level 

Consultant 

Location 

Gurgaon/Mumbai/Bangalore 

Travel Percentage 

Expected Travel could be anywhere between 0-100% 

Why Technology Consulting 

The Technology Consulting business within Capability Network invents the future for clients by providing them with the right guidance, design thinking and innovative solutions for technological transformation. 

As technology rapidly evolves, it’s more important than ever to have an innovation advisor who can create a new vision or put one into place to solve the client’s toughest business problems. 

Specialize in management or technology consulting to transform the world's leading organizations by building innovative business solutions as their trusted advisor by:  

Helping Clients: Rethinking IT and Digital ecosystems and innovating to help clients keep pace with fast-changing, customer-driven environments.  

Enhancing your Skillset: Building expertise and innovating with leading-edge technologies such as Blockchain, Artificial Intelligence and Cloud. 

Transforming Businesses: Developing customized, next-generation products and services that help clients shift to new business models designed for today's connected landscape of disruptive technologies 

Principal Duties      

And Responsibilities: 

Working closely with our clients, Consulting professionals design, build and implement strategies, POC that can help enhance business performance. They develop specialized expertise—strategic, industry, functional, technical—in a diverse project environment that offers multiple opportunities for career growth.  

The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape.  

Here are just a few of your day-to-day responsibilities. 

• Identifying, Assessing and solving complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors. 

• Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client 

• Understand client’s business and IT goals, vision and identify opportunities for reinvestment 

• Through your expertise and experience, guide your team-mates to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success 

• Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI solutions 

• Conduct discovery workshops and design sessions to elicit AI opportunities & client pain areas. 

• Experience in designing & developing Enterprise wide AI architecture & strategy 

• Contribute towards practice development initiatives like new offering development, people management etc 

Experience: 

We are looking for Advanced Analytics and AI Consultants to join our growing team having experience with Machine learning and NLP applications.  Operating across all stages of the innovation spectrum, with a view to build the future. 

• Experience in designing and building end-to-end AI Strategy & solutions using Cloud & Non-Cloud AI ML, NLP algo. 

• Assessment: Works as part of multi-disciplinary teams and responsible for independently driving specific AI workstreams through collaboration with designers, other AI team members, platform & Data engineers, business subject matter experts and technology delivery teams to assess AI potential and develop use cases. Liaises effectively with global community and senior leadership to identify and drive value opportunities around AI, support investments in POCs, pilots and chargeable projects. 

• Design: The Consultant’s role on these projects centers around the application of analytics, data science and advanced cognitive methods to derive insights from data and develop POCs and appropriate high-level solution designs. Strong expertise in designing AutoML, MLOps AI solutions using any of the Cloud services (AWS, GCP, Azure). 

• Architecture: The nature of these projects change as ideas and concepts mature, ranging from research, proofs-of-concept and the art-of-the-possible to the delivery of real-world applications for our clients. Focus in this area is on the impact to client’s technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Expertise in designing Enterprise AI strategy, Responsible AI frameworks is preferred. 

Strong experience handling multiple end-to-end AI Lifecycle projects from Data preparation, Modeling, Build, Train & Deploy. 

• Product/ Framework/ Tools evaluation: Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Evaluate existing products and frameworks available and develop options for proposed solutions. Have an understanding of the framework/ tools to engage the client in meaningful discussions and steer towards the right recommendation. 

• Modeling: Strong SME knowledge in Data Preparation, Feature engineering, Feature selection, Training datasets, Algorithmic selection, Optimizing & Production deployment. 

• Work as a technical SME to teams and client on advising right AI solutions. 

• The Consultant should have practical industry expertise. The areas of Financial Services, Retail, Telecommunications, Life Sciences and Resources are of interest but experience in equivalent domains is also welcomed. Consultants should understand the key technology trends in their domain and the related business implications. 

Key Competencies and Skills: 

• Strong desire to work in technology-driven business transformation 

• Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. 

• Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders 

• Team oriented and collaborative working style, both with clients and those within the organization. 

• Capacity to develop high impact thought leadership that articulates a forward thinking view of the market. 

• Ability to develop and maintain strong internal and client relationships 

• Proven track record in working creatively and analytically in a problem-solving environment 

• Proven success in contributing to a team-oriented environment with effective consulting skills 

• Proven track record to quickly understand the key value drivers of a business, how they impact the scope and approach of the engagement 

• Flexibility to accommodate client travel requirements 

Technical Skills 

• Good exposure to AI/NLP/ML algorithms and building models/chatbots/solutions. 

• Expert in developing AI solutions using Cloud AI services (AWS, GCP, Azure). 

• Strong understanding of entire ML project lifecycle from business issue identification, data audit to model maintenance in production 

• Experience in conducting client workshops and AI use-case development & prioritization 

• Strong knowledge on AI frameworks & algorithms 

• Strong & relevant experience in end-to-end AI lifecycle from Data capture, Data preparation, Model planning, Model selection, Model build, train & test & Model Deployment 

• Expert in designing AI pipelines, Feature engg, Feature selection, Labeling, Training & Optimizing models 

• Good understanding on Scaling/Industrializing AI, Enterprise AI, Lean AI concepts, frameworks & tools 

• Familiarity with some distributed storage frameworks and architectures 

• Machine Learning Language: Python/Scala/R/SAS knowledge 

• Virtual Agents – NLU, NLG, Text to speech 

• ML Libraries – SciKit learn, Stanford, NLTK, Numpy, PyTorch etc 

• Familiarity with cloud AI and Data offerings 

• Database: HDFS, NoSQL, In-memory (Spark), Neo4j  

• Experience with any of the platforms like IBM Watson, Microsoft ML, Google Cloud AI or AWS ML