GN - Tech Strategy & Advisory - Artificial intelligence - Manager

Practice Overview :

Skill/Operating Group

Technology Consulting

Level

Manager

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 worlds 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 todays connected"landscape of disruptive technologies

Principal Duties


And Resp o nsibilities:

Working closely with our clients, consulting professionals design, architect, build and implement strategies, POC that can help enhance business performance. 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 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.

Technical SME to design & guide development of E nterprise wide AI architecture & strategy

Managing multi-disciplinary teams to shape, sell, communicate and implement programs

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

Mentoring and People skill development

Qualifications


Qualifications:

MBA Degree from Tier-1 College (Preferable)

Bachelors Degree

AI/ML/Cloud AI Certifications preferred

Minimum of 10-15 years large scale consulting experience and managing teams in a consulting environment or at high tech companies

Experience:

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

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 Managers role on these projects centers around independently executing workstreams around the application of analytics, data science and advanced cognitive methods to derive insights & actions from data and develop POCs and appropriate high-level scalable 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 clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Experti s e 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/ Tool 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 Manager 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.