SandC Global Network - AI - CMT Engineering - Manager

Accenture in India; Gurugram District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Accenture in India is seeking a Manager for S&C Global Network focusing on AI/Gen AI strategy. The role involves leading strategic initiatives, advising on market trends, and directing data-driven business transformation projects.

Responsibilities include shaping AI architectures, operating models, and roadmaps for Gen AI solutions, and guiding end-to-end implementation with cross-functional teams.

Qualifications

• Must-have: AI architecture expertise and Gen AI capabilities.
• Good-to-have: stakeholder management and design thinking to optimize business processes.

Responsibilities

• Provide strategic advisory services and conduct market research to inform data-driven recommendations.
• Develop and assess AI architectures aligned with business goals, identifying improvements and innovations.
• Design operating models for Generative AI implementations with scalable, efficient workflows.
• Create strategic roadmaps with KPIs and milestones for Gen AI initiatives.
• Oversee end-to-end Gen AI solution deployment with engineering teams and provide technical leadership.

Skills

AI Architecture/ Gen AI

Education

Btech/ BE

Job description

Job Description:

Job Title - S&C Global Network - AI - CMT -ML Ops - Manager

Management Level: 7- Manager

Location: Open

Must-have skills:

AI Architecture/ Gen AI

Good to have skills:

Ability to leverage design thinking, business process optimization, and stakeholder management skills.

Experience:

8+ years

Educational Qualification:

Btech/ BE

Job Summary:

This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles & Responsibilities:

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

AI Architecture strategy and Assessment:

• Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives.
• Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation.

Operating Model Design:

• Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact.
• Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows.
• Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points.
• Ensure blueprints adhere to industry best practices and standards.

Roadmap Building:

• Create strategic roadmaps for the implementation and evolution of Generative AI solutions.
• Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives.

Incubating GenAI Solutions:

• Identify emerging trends and technologies in Generative AI and incubate innovative solutions.
• Work closely with research and development teams to experiment and prototype new Generative AI concepts.
• Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment.
• Provide technical leadership and guidance throughout the implementation lifecycle.