Skills
About
Enterprise Technology Leader with over 20 years of experience driving mainframe modernization and digital transformation across Fortune 500 organizations in insurance, healthcare, and financial services. Specializing in bridging legacy IBM Mainframe systems (COBOL, DB2, CICS) with modern cloud architectures (Azure). Throughout my career, I have led some of the most complex transformation programs in regulated industries. Currently at Accenture, contributing to a client which is one of the largest public-sector modernization programs in the US for a full-scale refactor of mainframe programs into C# cloud-native services including the migration of legacy datasets into Azure SQL. I have supported the re-platforming of the Net Benefits application by converting DB2-based COBOL workflows into cloud-connected Oracle systems integrating RESTful APIs, ETL orchestration, and real-time CICS interactions in improving performance, security, and modernization scalability for millions of users. Earlier at one of the largest P&C carriers in the US led underwriting, rating, and policy administration modernization for international property products, workers compensation, monoline equipment breakdown, and commercial auto programs. Built algorithms for rating, premium calculation and risk modeling continue to drive accuracy, competitiveness and financial performance across multi-billion-dollar portfolio. I leverage automation tools and frameworks to accelerate execution, reduce manual effort, and ensure regulatory compliance across the development lifecycle. I hold the TOGAF Enterprise Architecture Practitioner certification and am an active contributor to thought leadership in mainframe modernization. Beyond the workplace, as Senior member of IEEE, contributor to Braven, BBBS, CodeDay, CareerVillage a nonprofit dedicated to helping underrepresented and first-generation college students secure strong career opportunities after graduation. I am passionate about creating pathways into technology for those who face systemic barriers and bring the same leadership and care to mentoring that bring to every enterprise initiative. I have had the opportunity to author industry articles, contribute to research papers, and speak at international conferences, discussing Healthcare and Insurance IT modernization, best practices, and AI-driven enterprise solutions.
Sabarinath Yada
Published content
expert panel
As artificial intelligence moves from experimentation to enterprise-wide deployment, many organizations are discovering a hard truth: Traditional metrics fail to capture real AI impact. Tracking pilots, usage rates or cost savings may signal progress, but they rarely reveal whether AI is fundamentally improving how a business operates. Members of the Senior Executive AI Think Tank—a curated group of leaders specializing in machine learning, generative AI and enterprise transformation—argue that success requires a more rigorous, outcome-driven framework. According to a recent Forbes analysis on scaling AI adoption across enterprise systems, only a small percentage of organizations successfully translate AI experimentation into measurable business value at scale. To move forward, boards and CEOs must rethink what success looks like. The following perspectives outline the KPIs that matter most—not as isolated metrics, but as signals of whether AI is delivering sustained, enterprise-level value.
expert panel
The race to deploy artificial intelligence is accelerating—and so is the pressure on leaders to act. From boardrooms to product teams, executives are being asked the same question: How fast can we get AI into production? But as organizations rush to capitalize on generative AI, the risks—hallucinations, data leaks and brand damage—are becoming harder to ignore. A National Institute of Standards and Technology (NIST) report on AI risk management emphasizes that without proper governance, AI systems can introduce significant reliability, security and accountability risks into enterprise environments. Insights from the Senior Executive AI Think Tank suggest that this is not a simple trade-off between speed and safety. Instead, it’s a leadership challenge that requires rethinking how organizations define competitive advantage. Below, Think Tank members discuss whether being first with AI is truly the advantage leaders think it is—or if the real differentiator is trust built through disciplined execution, strong governance and a clear understanding of where AI delivers value.
Company details
Accenture
Company bio
Accenture is a leading global professional services company that specializes in helping organizations build their digital core, optimize operations, and accelerate revenue growth. Headquartered in Dublin, Ireland, it operates in more than 120 countries and is a cornerstone of the Fortune Global 500. Company provides services to clients across various industries, including communications, media and technology, financial services, healthcare, public services, consumer products, and resources