Enterprise AI Value Strategy Consultant
No salary listed
Expert
MBA
Bengaluru, Karnataka, India
In PersonThe description also lists Gurgaon, Mumbai, Chennai, and Hyderabad as role locations.
ConsultingTechnology & Systems Consulting
About the job
Requirements
- An MBA from a Tier 1 institute with a focus in Customer Service, Strategy, or Technology is required.
- The posting specifies experience requirements of 10–15 years, 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, LLMs, and Generative AI frameworks such as Claude, OpenAI, Anthropic, Llama, and Vertex is required.
- 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 is required.
- Experience managing C-suite relationships and identifying and driving new business in Generative AI engagements is required.
- A strong background in consulting and developing client-centric solutions that combine technology, AI, and data to address complex business challenges across customer experience and agent enablement is required.
- Demonstrated expertise in cross-functional collaboration with technical teams, including solution architects and Data & AI teams, and business teams is required.
- Experience in consultative selling and working directly with clients to design, propose, and deliver transformation roadmaps leveraging AI technologies is required.
- A solid understanding of change management methodologies, including leading clients through upskilling, transformation, and technology adoption, is required.
- Experience working with clients across industries such as telecommunications, S&P, resources, retail, finance, and life sciences is required.
- The posting also specifies an alternative experience profile of 6–9 years, 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.
- Excellent analytical and problem-solving skills with a data-driven mindset are required.
- Familiarity with project management methodologies such as Agile and Waterfall is required.
- Hands-on experience with Agentic solutioning and conceptual architecture design, LLMs, and Generative AI frameworks such as Claude, OpenAI, Anthropic, Llama, and Vertex is required.
- A basic understanding of SQL, Python, and Microsoft Office is required.
- The ability to articulate and measure the business value of recommendations, plans, and strategies, including KPI improvements across the value stream, is required.
- A strong background in consulting and developing client-centric solutions combining technology, AI, and data to address complex business challenges across customer experience and agent enablement is required.
- Demonstrated expertise collaborating with technical teams, including solution architects and Data & AI teams, and business teams is required.
- Experience working with clients across industries such as telecommunications, S&P, resources, retail, finance, and life sciences is required.
Responsibilities
- Translate Generative AI trends, agentic workflows, and ecosystem capabilities into real-world, client-ready solutions.
- Lead the development of 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 about leveraging LLMs and agentic capabilities to grow existing business relationships and build new opportunities.
- Collaborate with solution architects, Data & AI teams, and platform subject-matter experts to design and implement comprehensive, scalable solutions.
- Guide clients through the design and implementation of future-fit, value-led service blueprints that leverage emerging 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 and solution Generative AI use cases and storytelling strategies.
- Build client relationships, influence decision-making, and guide clients through digital transformation in service.
- Identify automation opportunities and design integrated agentic solutions using LLMs and AI workflows aligned with client platform ecosystems.
- Lead consultative solutioning and value-case development, and architect next-generation 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 is preferred.
- Techno-functional experience with AWS, Google, Salesforce CRM, Microsoft Copilot, Cognigy, or Cresta is desirable.
About the company
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