About Accenture:
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries – powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises.
About Capability Network:
Accenture Strategy shapes our clients’ future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, every business is a digital business. Digital is changing the way organizations engage with their employees, business partners, customers and communities how they manufacture and deliver products and services, and how they run their organizations. This is our unique differentiator. We seek people who recognize and understand the impact that digital and technology have on every industry and every sector, and share our passion to shape unique strategies that allow our clients to succeed in this environment.
To bring this global perspective to our clients, Accenture Strategy's services include those provided by our CapabilityNetwork – a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Approximately 3,000 consultants are part of this rapidly expanding network, providing specialized and strategic industry and functional consulting expertise from key locations around the world. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit www.accenture.com/capabilitynetwork.
Capability Network Videos:
Video title
External link
Accenture Capability Network
https://www.youtube.com/watch?v=-92pvOH1d_k
Accenture in One Word
https://www.youtube.com/watch?v=t1Fo8uNWZ-0
MBA Careers: What makes Accenture different
https://www.youtube.com/watch?v=5bg4u5Sczm8
Accenture Inclusion & The Power of Diversity
https://www.youtube.com/watch?v=2g88Ju6nkcg
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 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, 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 Enterprise 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:
- MBA Degree from Tier-1 College (Preferable)
- Bachelor’s 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 Manager’s 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 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/ 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.
