Data & AI Strategy Consultant

As a Consultant at Level 9 in Bangalore or Gurgaon, you will play a crucial role in designing robust data and AI strategies for large transformation deals. Your key responsibilities will involve discovering appropriate business use cases, reimagining process design, and optimizing architecture to ensure effective outcomes. You will define strategies to evaluate clients" existing data and implement AI capabilities, creating future roadmaps through tools like data diagnostics, data and AI maturity assessment, and business case development. Your expertise will be instrumental in establishing and executing data and AI platform strategies for stakeholders, encompassing cloud computing, emerging data and AI platforms, technologies, trends, and ecosystem strategies. You will be responsible for crafting architecture and operating model blueprints, including organizational design, delivery engagement models, and talent & learning roadmaps to facilitate seamless integration and scalability of AI solutions across the organization, in alignment with business objectives and technical prerequisites. Additionally, you will develop strategic roadmaps for AI initiatives implementation, delineating key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Your role will also entail providing thought leadership on emerging data and AI trends, patterns, and technologies, driving proofs of capability and enabling clients to embrace innovation in the data and AI domain. Collaboration with cross-functional teams will be essential in constructing compelling business cases for AI initiatives, conducting comprehensive cost-benefit analyses, ROI assessments, and risk evaluations to aid decision-making and investment prioritization. You will be expected to incorporate Responsible AI principles into the core AI foundation and solution design, devise plans for leveraging ecosystem partners, and establish an operating model to cultivate a culture of innovation and experimentation within the organization.,