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

Accenture in India; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Accenture in India seeks a Decision Science Manager to lead enterprise AI transformation programs across strategy, solution design, and delivery. You will drive engagement and manage projects involving Agentic AI, Generative AI, Conversational AI, and LLM-based solutions on GCP, Azure and AWS.

You will oversee end-to-end workstreams from discovery through execution, shaping RFP/RFI responses, SOW inputs, staffing plans, and governance.

Qualifications

• 10+ years of overall experience, including 6+ years in Data & AI, analytics, consulting, or contact centre transformation.
• Proven delivery experience across Agentic AI, Generative AI, LLMs, Conversational AI, machine learning, speech/text analytics.
• Strong understanding of LLM solution patterns, including prompting, RAG, vector search, grounding, guardrails, human review.
• Hands-on expertise in at least one of GCP, Azure, or AWS, with enterprise data platforms, APIs and integration.
• Strong consulting skills across discovery, requirements, use-case prioritization, business cases, roadmaps, and SOW inputs.

Responsibilities

• Manage end-to-end Contact Centre AI workstreams from discovery to delivery and transition to operations.
• Translate business challenges into prioritized AI use cases, roadmaps, and measurable improvements in key metrics.
• Design and deliver Agentic AI, Generative AI, LLM, and Conversational AI solutions across cloud, data, and security.
• Develop consulting deliverables, including assessments, operating-model recommendations, proposals, and SOW inputs.
• Manage program governance across scope, budget, quality, and risks; coordinate stakeholders.
• Guide cloud AI implementation across GCP, Azure, or AWS with integration and production readiness.
• Lead and coach multidisciplinary teams of 4+ consultants; ensure quality and client satisfaction.
• Support account growth by shaping demonstrations and developing reusable accelerators and thought leadership.

Skills

Agentic AI

Generative AI

LLMs

Contact Centre AI

GCP/Azure/AWS

Data Science

Consulting

RFP/RFI

SOW

Program Delivery

UI/UX

CI/CD

DevOps

Enterprise AI Solution Delivery

Job description

Job Title – Decision Science Manager – S&C GN

Management Level: 07 – Manager

Location: Bengaluru | Gurugram | Mumbai | Kolkata | Pune | Chennai | Hyderabad

Must Have Skills: Agentic AI, Generative AI, LLMs, Contact Centre AI, GCP/Azure/AWS, Data Science, Consulting, RFP/RFI, SOW, Program Delivery

Good to Have Skills: UI/UX, CI/CD, DevOps, Enterprise AI Solution Delivery

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.

Professional & Technical Skills

Must Have Skills

• 10+ years of overall experience, including 6+ years in Data & AI, analytics, consulting, or contact centre transformation, with responsibility for enterprise workstreams, deliverables, teams, and client outcomes.
• Proven delivery experience across Agentic AI, Generative AI, LLMs, Conversational AI, machine learning, speech/text analytics, agent assist, automation, and Contact Centre AI capabilities.
• Strong understanding of LLM solution patterns, including prompting, agent and tool orchestration, RAG, vector search, grounding, guardrails, human review, evaluation, monitoring, and responsible AI controls.
• Hands-on expertise in at least one of GCP, Azure, or AWS, with working knowledge of enterprise data platforms, APIs and integration, identity and security, privacy, scalability, resilience, and observability.
• Strong consulting skills across discovery, requirements, use-case prioritization, business cases, roadmaps, solution design, executive presentations, RFP/RFI responses, proposal development, estimates, and SOW inputs.
• Demonstrated delivery, team, and stakeholder management covering Agile or hybrid methods, planning, financial tracking, resourcing, governance, risk, quality, change, client communication, coaching, and issue resolution.

Good to Have Skills

• Experience with CCaaS and customer-service platforms or technologies such as Genesys, Amazon Connect, NICE, Five9, Salesforce, Microsoft Dynamics, IVR, routing, workforce management, and quality management.
• Knowledge of MLOps/LLMOps, CI/CD, DevOps, containerization, Kubernetes, automated testing, model and prompt lifecycle management, and leading cloud AI, agent, and data platforms.
• Exposure to conversational UX, AI-enabled knowledge management, relevant cloud or AI certifications, and development of reusable assets, accelerators, demonstrations, or go-to-market offerings.