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Accenture

Advises businesses and runs their technology

Senior Analyst - AI, BI Strategy

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

About the Job

Requirements

  • Candidates should typically have at least 6–9 years of experience in BI strategy, management, or a related field, including hands-on involvement in developing and implementing BI strategies for clients across various industries.
  • A bachelor's or master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field is required; the posting also specifies B.Tech/BE.
  • Candidates should be able to assess clients' business processes, technologies, BI, AI, and data infrastructure to identify opportunities for BI and AI-enabled BI integration and develop tailored BI strategy frameworks aligned with client goals.
  • Expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning, with a solid understanding of AI concepts, algorithms, and applications in business problems.
  • Knowledge of cloud computing services such as AWS, Azure, or GCP for scaled AI and data analytics solutions.
  • Candidates should be able to collaborate with cross-functional teams to design and execute AI solutions addressing client business challenges and delivering measurable results.
  • A strong understanding of generative AI preferences, behaviors, and values.
  • Working knowledge of large language models to propose and implement suitable models for customers based on AI strategies.
  • Working experience with machine learning algorithms and statistical modeling techniques.
  • Knowledge of user interface and user experience design using React or Angular and visualization tools such as Power BI, Tableau, or Qlik Sense.
  • Knowledge of cloud and native services for AI and generative AI implementation on AWS, Azure, or GCP.
  • Hands-on experience with programming languages such as Python, R, SQL, or Scala.
  • Working knowledge of AI and analytics platforms and tools such as TensorFlow, PyTorch, or KNIME.
  • Working knowledge of natural language processing techniques such as text summarization, text classification, and named entity recognition.
  • Working knowledge of machine learning models, including supervised and unsupervised learning, classification, regression, reinforcement learning, and neural networks.
  • Knowledge of large language models, including OpenAI GPT and Llama Index.
  • Knowledge of machine learning operations deployment, processes, tools, and strategy, including MLflow and AWS SageMaker.

Responsibilities

  • Participate in visioning workshops and develop BI strategy and architecture frameworks tailored to clients' goals and evolving needs.
  • Evaluate clients' existing processes, technologies, and data ecosystems to identify opportunities for AI integration.
  • Align with industry and function teams, understand business problems, and translate them into BI, BI governance, AI-enabled BI, and operating-model needs.
  • Develop target strategies for business intelligence, tools and technology, BI operating models, BI governance, and AI-enabled BI, including key initiatives and roadmaps.
  • Recommend suitable large language models using selection criteria and advise clients on AI-enabled BI.
  • Propose adoption strategies for BI and plan persona-based BI strategies for enterprise functions.
  • Work with cross-functional teams to define functional and technical personas and persona journeys and to co-create and implement solutions.
  • Architect, design, and deliver AI-enabled BI solutions for complex client and business challenges.
  • Participate in client engagements and oversee project scope, timelines, and deliverables.
  • Facilitate workshops and training sessions to help BI client stakeholders adopt data-driven transformation enabled by AI.
  • Monitor emerging BI, data, and AI analytics trends and technologies and improve internal capabilities and offerings.
  • Participate in BI, AI-enabled BI, and analytics solutions and client demonstrations.

Desired Qualifications

  • Knowledge of generative AI model implementation, including OpenAI, Mistral, Phi-2, Solar, or Claude 3, and agentic architecture implementation.
  • At least 6 years of experience working with clients in the products industry, including Life Sciences, CPG, Industry, and Retail, with exposure to AI and generative AI preferences and behaviors.
  • At least 5 years of experience developing and implementing AI strategy frameworks for Life Sciences, Industry, CPG, and Retail sectors.
  • At least 6 years of consulting experience leading client engagements from start to completion, including stakeholder management and effective communication.
  • At least 4 years of experience with the AI implementation lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring.

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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