A

Accenture

Advises businesses and runs their technology

Enterprise AI Value Strategy-EVS Consultant

Full-TimeUpdated on 10/23/2026
No salary listed
Expert
MBA
Bengaluru, Karnataka, India
In Person
ConsultingTechnology & Systems Consulting

About the job

Requirements
  • MBA from a Tier 1 institute with a focus in Customer Service, Strategy, or Technology.
  • The description lists a requirement of 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, and in-depth knowledge of Customer Service Strategy implementation.
  • Hands-on experience with agentic solutioning and conceptual architecture design, large language models, and generative AI frameworks such as Claude, OpenAI, Anthropic, Llama, and Vertex.
  • Proven experience creating and executing generative-AI-led service transformation strategies, with a focus on leveraging platform generative AI capabilities.
  • In-depth knowledge of platform technology stacks, including agentic AI solutions, to drive future-ready marketing organization strategies.
  • Ability to manage C-suite relationships and identify and drive new business in generative AI engagements.
  • Strong consulting background and experience developing client-centric solutions that combine technology, AI, and data to address complex business challenges across customer experience and agent enablement.
  • Experience collaborating across technical teams, including solution architects and Data & AI, and business teams to achieve successful outcomes.
  • Experience in consultative selling, working directly with clients to design, propose, and deliver AI-enabled transformation roadmaps.
  • Solid understanding of change management methodologies, including leading clients through upskilling, transformation, and technology adoption.
  • Analytical and problem-solving ability to identify opportunities for AI-powered optimization in service processes.
  • Experience working with clients across multiple industries, such as telecommunications, resources, retail, finance, and life sciences.
  • The description also lists a requirement of 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, and knowledge of Customer Service Strategy implementation, Conversational AI, and agent enablement.
  • Familiarity with project management methodologies such as Agile and Waterfall.
  • Hands-on experience with agentic solutioning and conceptual architecture design, large language models, and generative AI frameworks such as Claude, OpenAI, Anthropic, Llama, and Vertex.
  • Basic understanding of SQL, Python, and Microsoft Office.
  • Ability to articulate and measure the business value of recommendations, plans, and strategies, and KPI improvements across a value stream.
  • Strong consulting background and experience developing client-centric solutions combining technology, AI, and data for customer experience and agent enablement.
  • Experience collaborating with technical teams, including solution architects and Data & AI, and business teams.
  • Analytical and problem-solving ability to identify opportunities for AI-powered optimization in service processes.
  • Experience working with clients across multiple industries, such as telecommunications, resources, retail, finance, and life sciences.
Responsibilities
  • Translate generative AI trends, agentic workflows, and ecosystem capabilities into client-ready solutions.
  • Lead transformation strategies that integrate generative AI and agentic solutions into clients’ service landscapes.
  • Assess current service capabilities and define generative-AI-led reinvention roadmaps, future operating models, capabilities, and process designs.
  • Engage clients in discussions about using large language models and agentic capabilities to advance existing business relationships and build 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 future-fit, value-led service blueprints that leverage technology and AI.
  • Drive consultative selling and client engagement, identifying opportunities to apply platform generative AI solutions to service challenges.
  • Develop business value cases linking generative-AI-driven digital innovation to KPIs such as productivity, revenue, and customer satisfaction.
  • Use insights and intelligence to develop generative AI use cases and storytelling strategies.
  • Build client relationships, influence decision-making, and guide clients through digital transformation in service.
  • Identify automation opportunities, design integrated agentic solutions using large language models and AI workflows, and align solutions with clients’ 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
  • Knowledge of visualization tools such as Tableau and Power BI.
  • Techno-functional experience with AWS, Google, Salesforce CRM, Microsoft Copilot, Cognigy, or Cresta.

About the company

A

Accenture

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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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Simplify's Take

What believers are saying

  • Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
  • Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
  • Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.

What critics are saying

  • Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
  • Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
  • Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.

What makes Accenture unique

  • Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
  • Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
  • Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.

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Benefits

  • Health Insurance
  • Professional Development Budget
  • 401(k) Retirement Plan
  • 401(k) Company Match

Company News

Yahoo Finance
Oct 23rd, 2026
Accenture jumps 19% on earnings beat as SEC opens private assets to retail investors

Accenture shares rose about 19% after the consulting firm beat earnings and revenue expectations for its fiscal 2026 year, and guided fiscal 2027 slightly above Wall Street forecasts. Revenue grew 5% in local currency; management expects 3% to 6% growth next year. Non-GAAP operating margin edged up to 15.8%. The stock had dipped below 10 times expected earnings and now trades at about 14 times. Accenture said 65% of new bookings came from outcome-based fixed-price projects, which a Motley Fool contributor called a counterweight to AI's unpredictable costs. Separately, new US Securities and Exchange Commission rules aim to open private assets to retail investors. They raise the performance fee cap for registered advisers, add professional licences as a route to accredited investor status, and give private funds more leeway on redemptions.

Yahoo Finance
Oct 22nd, 2026
Accenture eyes $1.5B Greater China sale while building Gemini AI launchpads for US agencies

Accenture's federal arm, Accenture Federal Services, is working with Google Public Sector on Gemini launchpads for US federal agencies. The tools aim to help agencies build generative AI models into mission workflows and internal operations. Separately, Accenture is reviewing options for its Greater China business, including a possible sale. A deal was reported at up to $1.5 billion, and the company has hired JPMorgan to explore options. Accenture, a US-based IT consulting and managed services group, has a market value of about $141.3 billion. Investors are watching for contract wins from the Gemini work and any formal update on the China review.

Business Wire
Oct 21st, 2026
TÜV SÜD and Accenture unveil physical AI safety suite to bring factories online up to 30% sooner

TÜV SÜD and Accenture are working with NVIDIA technologies to speed up safety certification of robots in factories and warehouses. They unveiled a joint "Physical AI Safety Suite" at NVIDIA GTC Berlin. The suite uses digital twins, AI agents, and simulations to partly replace manual assessments. TÜV SÜD estimates the digital process could bring production online up to 30% sooner. Certification against standards such as ISO 3691-4 is mandatory in many industrial countries before automated facilities can start. At a medium-sized plant, agreeing on safety concepts can take several weeks. The suite checks layouts, robot fleets, and individual robots before deployment. TÜV SÜD provides independent assessment and keeps responsibility for certification.

Yahoo Finance
Oct 16th, 2026
Accenture caps staff AI spending at $29 a month after $1,000 bills

Accenture has capped employee AI spending at $29 (£21.75) a month after some staff ran up bills of $1,000, according to a report by 404 Media. The consulting firm wants to curb runaway costs as employees use AI for more everyday tasks. Companies are typically billed by usage, like a utility. Last week, some staff were told their access to Anthropic's Claude had been pulled entirely. Others are also reining in costs. Uber capped engineers' Claude spending at $1,500 a month after using up its AI budget in four months, while Microsoft has reportedly cut its Claude spending by about a third. The curbs come as Anthropic prepares for a public listing, targeting a valuation as high as $2tn. Investors are reportedly considering about $1.5tn.

Yahoo Finance
Oct 16th, 2026
Accenture's AI push: analysts see earnings reaching $10.3B by 2029 on 5.2% yearly revenue growth

Accenture is shifting AI work from pilots to deeply embedded systems, according to recent deals with UMass Memorial Health, Dell, Microsoft and Workday. The UMass Memorial project is a multi-year AI data platform, while the Dell alliance pitches private AI infrastructure to regulated clients. Analysts expect revenue to grow 5.2% a year over the next three years, with profit margins rising from 11.3% to 11.9%. They forecast earnings of $10.3 billion by 2029, up from $8.4 billion today, on revenue of $86.3 billion. The stock trades at a price-to-earnings ratio of 14.2x, against 21.9x for US IT peers. Risks include slower decision cycles in federal and EMEA work, which could curb consulting demand and margins.