I&P - GN - SONG - AI & Data - Service - Decision Science - Manager

Accenture in India; Bengaluru; Vor Ort; INR 1.800.000 - 3.200.000; Vollzeit

Zusammenfassung

Accenture PLC in Bengaluru is seeking a Decision Science Manager to lead enterprise AI transformation programs spanning strategy, solution design, RFP/RFI responses, SOW development, and delivery governance. You will drive business development and client engagement while delivering Agentic AI, Generative AI, and LLM-based solutions across GCP, Azure, and AWS.

You will guide cross-functional teams of data scientists, engineers, and consultants; shape initiatives, establish roadmaps, and ensure

Aufgaben

• Manage end-to-end Contact Centre AI workstreams from discovery and use-case definition through solution delivery, adoption, value tracking, and transition to operations.
• Translate business challenges into prioritized AI use cases, requirements, roadmaps, business cases, and measurable improvements in containment, handle time, resolution, quality, customer satisfaction, and cost to serve.
• Design and deliver scalable Agentic AI, Generative AI, LLM, Conversational AI, speech/text analytics, agent assist, automation, and knowledge solutions across cloud, data, integration, security, observability, and responsible AI.
• Develop consulting and commercial deliverables, including assessments, operating-model recommendations, RFP/RFI responses, proposals, SOW inputs, estimates, staffing plans, timelines, risks, dependencies, and acceptance criteria.
• Manage program governance across scope, schedule, budget, quality, resources, RAID, change, benefits, and status reporting; facilitate workshops and align business, technology, data, security, and operations stakeholders.
• Guide cloud AI implementation across GCP, Azure, or AWS and work with architecture and engineering teams on integration, testing, release readiness, performance, security, monitoring, and production support.
• Lead and coach multidisciplinary teams of 4+ consultants, data scientists, engineers, and delivery professionals; plan work, review deliverables, resolve issues, and maintain quality and client satisfaction.
• Support account and practice growth by identifying opportunities, shaping demonstrations, contributing to pursuits, and developing reusable assets, accelerators, case studies, and thought leadership.

Jobbeschreibung

Job Summary

As a Decision Science Manager within the S&C GN Customer Service Analytics & Contact Center AI practice, you will manage enterprise AI transformation programs across strategy, solution design, RFP/RFI responses, SOW development, delivery execution and program management. You will drive business development, client engagement while delivering Agentic AI, Generative AI, Conversational AI and LLM-based solutions on GCP, Azure and AWS.

Roles & Responsibilities

• Manage end-to-end Contact Centre AI workstreams from discovery and use-case definition through solution delivery, adoption, value tracking, and transition to operations.
• Translate business challenges into prioritized AI use cases, requirements, roadmaps, business cases, and measurable improvements in containment, handle time, resolution, quality, customer satisfaction, and cost to serve.
• Design and deliver scalable Agentic AI, Generative AI, LLM, Conversational AI, speech/text analytics, agent assist, automation, and knowledge solutions across cloud, data, integration, security, observability, and responsible AI.
• Develop consulting and commercial deliverables, including assessments, operating-model recommendations, RFP/RFI responses, proposals, SOW inputs, estimates, staffing plans, timelines, risks, dependencies, and acceptance criteria.
• Manage program governance across scope, schedule, budget, quality, resources, RAID, change, benefits, and status reporting; facilitate workshops and align business, technology, data, security, and operations stakeholders.
• Guide cloud AI implementation across GCP, Azure, or AWS and work with architecture and engineering teams on integration, testing, release readiness, performance, security, monitoring, and production support.
• Lead and coach multidisciplinary teams of 4+ consultants, data scientists, engineers, and delivery professionals; plan work, review deliverables, resolve issues, and maintain quality and client satisfaction.
• Support account and practice growth by identifying opportunities, shaping demonstrations, contributing to pursuits, and developing reusable assets, accelerators, case studies, and thought leadership.