• Home
  • >
  • Ritesh Aggarwal, Analytics Practice Head – Americas, WNS Global Services

Ritesh Aggarwal, Analytics Practice Head – Americas, WNS Global Services

Describe your career to date

I am an artificial intelligence (AI) and machine learning and advanced analytics leader with 25 years of consulting experience in building and deploying digital solutions to drive growth, operational efficiencies, and customer loyalty. My efforts have driven millions of dollars in revenue growth and profit enhancement for Fortune 500 clients in retail, banking and financial services, insurance, travel, government, and entertainment. I am an expert across the analytics spectrum: deriving actionable insights from data, building statistical models, and deploying analytics-embedded solutions to drive ongoing impact. I recently led digital transformations of promotion planning processes for over $10 billion for grocery and beauty retailers.  

What challenges do you see for data in the year ahead that will have an impact on your clients and on the industry as a whole?  

Challenges include domain orientation in analytics needs, evolving data products structural stacks managing data complexity from exponential growth in data volume, variety, valency, value and velocity, requiring robust data management solutions, and adoption of AI and machine learning technologies.  

Harnessing the value of unstructured data like text, images, and videos demands new approaches like generative AI (genAI) models. Addressing data imbalance and bias in datasets and models, crucial for fair and ethical AI decisions, especially in industries like insurance.  

We must also ensure data privacy and compliance with evolving regulations like CCPA, IFRS, CCAR, GDPR, which mandate stringent data protection measures and user consent. 

How are you developing the data literacy of a) your own organization and b) your clients? 

We are developing data literacy through:  

  • Comprehensive training programs tailored to different roles and skill levels, covering data fundamentals, analysis, visualization, and communication. We also have mentorship initiatives pairing data experts with business teams.  

  • For clients, we offer data literacy consulting and customized training solutions. This includes assessing their current data skills, developing curricula aligned with business goals, and delivering interactive workshops reinforced with real-world case studies.  

  • We also help establish data stewardship, governance frameworks, common data terminology, and metrics to measure program effectiveness.  

The key is creating role-based practical learning paths that build confidence in leveraging data for decision-making. Combining formal training with mentoring and hands-on projects drives sustainable data literacy across organizations. 

How are you preparing your organization and your clients for AI adoption and change management?  

We provide extensive genAI, AI, data analytics training tailored to different roles, covering data literacy, model development, and responsible AI practices. We also establish AI, analytics and data Centers of Excellence to drive adoption, share best practices, and provide guidance across teams.  

Fostering a culture of continuous learning, experimentation, and cross-functional collaboration on AI initiatives is essential. We offer AI readiness assessments to identify gaps and develop customized adoption roadmaps.  

We are creating analytic roadmaps for finance, customer, HR, supply chain, contact center and data delivering change management consulting, training programs, and communication strategies to build AI literacy and buy-in. Additionally, the implementation of AI governance frameworks and processes to ensure responsible, ethical, and compliant AI deployments is essential. The key is combining technical AI capabilities with robust change management to drive sustainable adoption and value realization from AI across the enterprise. 

Ritesh Aggarwal
has been included in:
  • 100 Enablers 2024 (USA)