Nishita Dsilva
Associate Director @Accenture
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WORK HISTORY
Associate Director @Accenture
London, GB
C-suite Advisor overseeing a practice of 70+ data professionals, driving performance and mentoring career growth. Development of Data and AI strategies for global clients, collaborating with cross-functional business teams, balancing OKRs and ambitions across the business to set the right vision and foundations for AI. Working with technical leaders to ensure the development of data and AI solutions are fully aligned and anchored to business objectives. Data and AI Strategy components span the full data/AI lifecycle- Cross-functional strategy to drive business priorities with data/AI (\"building the right scalable foundations\", buy-in and alignment)- Adoption & changement (\"If AI is built and no ones trusts it or knows how to use it, AI is not built\")- AI Literacy Training (\"You might not need a shiny new investment - majority of the workforce is underusing existing AI features in their current systems.\")- Process reinvention (\"Data and AI is no longer a tool to BAU, it transforms BAU. We need to rethink how our processes can become more efficient and effective though embedding data, analytics and AI.\")- Foundational enablers: Talent and skills gaps, Compliance & Governance (Responsonbile AI, GDPR etc.), Operating Model (Data/AI Center of Expertise to support the business), Technology & Tooling (data/AI platform, reusable data assets, Build vs. Buy), Data Products (dashboarding, analytics, AI/ML etc.).
EDUCATION
University of Auckland
Bachelor of Commerce - BCom, Management Information Systems, General
University of Auckland
Bachelor of Engineering, Mechatronics, Robotics, and Automation Engineering
Nanyang Technological University Singapore
Bachelor of Commerce - BCom, International Marketing
ABOUT NISHITA DSILVA
Data and AI Strategy C-suite advisor, driving business value from data/AI transformations. Providing guidance on operational transformation, product innovation and customer experience enhancement through data and AI. Cross-functional collaborator, working closely with business and technology teams to ensure foundations are scalable, and creating a realistic roadmap with clear value tracking. Technical expertise spanning the full data lifecycle, from data platform design and reusable data asset creation to analytics, AI/ML, and robust data governance.Technical Toolbox: Google Cloud, AWS, Azure, Apache, Microsoft, Kafka, Databricks, SAP, SalesforceCertified Lean Foundations and SAFe Agile practitioner.
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