S&C GN Tech Strategy & Advisory Data Strategy Consultant

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 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’srole 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.

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 clienton 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.

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

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, PyTorchetc

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