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Accenture

Advises businesses and runs their technology

Industry and Process Consultant - Enterprise AI Value Strategy-EVS

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • An MBA from a Tier 1 institute with a focus in Customer Service, Strategy, or Technology.
  • 10–15 years of experience, including at least 6 years in Customer Service operations and Contact Center channels, leading Customer Service operations assessment and benchmarking, with in-depth knowledge of Customer Service Strategy implementation.
  • Hands-on experience with agentic solutioning, conceptual architecture design, large language models, and generative AI frameworks such as Claude, OpenAI, Anthropic, Llama, and Vertex.
  • Experience creating and executing generative-AI-led service transformation strategies, particularly using platform generative AI capabilities.
  • In-depth knowledge of platform technology stacks, including agentic AI solutions, to develop future-ready marketing organization strategies.
  • Experience managing C-suite relationships and identifying and driving new business in generative AI engagements.
  • Consulting experience developing client-centric solutions that combine technology, AI, and data to address customer experience and agent enablement challenges.
  • Experience collaborating across technical teams, including solution architects and Data & AI teams, and business teams.
  • Experience in consultative selling and working directly with clients to design, propose, and deliver transformation roadmaps that use AI technologies.
  • Understanding of change management methodologies and ability to lead clients through upskilling, transformation, and technology adoption.
  • Experience working with clients across multiple industries, such as telecommunications, resources, retail, finance, and life sciences.
  • An MBA from a Tier 1 institute with a focus in Customer Service, Strategy, or Technology.
  • 6–9 years of experience, including at least 3 years in Customer Service operations and Contact Center channels, leading Customer Service operations assessment and benchmarking, with in-depth knowledge of Customer Service Strategy implementation, Conversational AI, and agent enablement.
  • Familiarity with project management methodologies such as Agile and Waterfall.
  • Ability to work on complex projects and understand industry-specific customer service processes, operations, and functional needs.
  • Basic understanding of SQL, Python, and Microsoft Office.
  • Ability to articulate and measure the business value of recommendations, plans, and strategies, and measure KPI improvements across the value stream.
  • Experience combining technology, AI, and data to develop client-centric solutions for customer experience and agent enablement challenges.
  • Experience collaborating with solution architects, Data & AI teams, and business teams.
  • Experience working with clients across multiple industries, including telecommunications, resources, retail, finance, and life sciences.

Responsibilities

  • Translate generative AI trends, agentic workflows, and ecosystem capabilities into client-ready solutions.
  • Develop transformation strategies that integrate generative AI and agentic solutions into client service landscapes.
  • Assess current service capabilities and define generative-AI-led reinvention roadmaps, next-generation operating models, future-fit capabilities, and process designs.
  • Engage clients in discussions on using large language models and agentic capabilities to grow existing business relationships and develop new opportunities.
  • Collaborate with solution architects, Data & AI teams, and platform subject-matter experts to design and implement scalable solutions.
  • Guide clients through designing and implementing value-led service blueprints that enable use of emerging technology and AI.
  • Conduct consultative selling and client engagements, identifying opportunities to apply platform generative AI solutions to service challenges.
  • Develop business value cases linking generative-AI-driven innovation to productivity, revenue, customer satisfaction, and other KPIs.
  • Use insights and intelligence to develop generative AI use cases and storytelling strategies.
  • Build client relationships, influence decision-making, and guide clients through digital service transformation.
  • Identify automation opportunities and design integrated agentic solutions using large language models and AI workflows aligned with client platform ecosystems.
  • Lead consultative solutioning and value-case development, and architect intelligent, insight-led, AI-powered digital solutions while influencing business, data, and technology stakeholders.

Desired Qualifications

  • Basic understanding of SQL, Python, Microsoft Office, and visualization tools such as Tableau and Power BI.
  • Techno-functional experience with AWS, Google, Salesforce CRM, Microsoft Copilot, Cognigy, or Cresta.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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