Manisha Banthia is Vice President of Data and Analytics at Fiserv Global Services, where she leads a team of experts in developing cutting-edge analytics solutions that leverage AI and ML. She has 25 years of experience building analytics teams in various organizations. At Fiserv, she is responsible for integrating analytics solutions with Fiserv products and providing consulting services to its customers. She also oversees the data management and analytics solutions that were recently added to the analytics portfolio.
Can you tell us about your journey in AI?
My professional journey began over 25 years ago, when AI was just beginning to find its place in financial services. It all started with a keen interest in data analytics and technology, which ultimately led me to a rewarding career path. My professional journey began at a large bank where I held data-centric responsibilities encompassing risk, marketing analysis and financial profitability calculations. This experience laid the foundation for my journey into creating analytics solutions, extending my expertise across the fintech sector. Transitioning to a leadership role in analytics and data science at a multinational IT company, I honed my skills, innovated solutions, and identified growth opportunities through advanced technologies. I joined Fiserv in 2021 as VP of Data and Analytics, focused on harnessing the transformative power of data and building a high-performing team to drive value for our customers. Overseeing the data, analytics and research teams, I focus on delivering innovative solutions, evaluating new technologies and fostering collaboration with business leaders and customers. Throughout my journey, I have received prestigious accolades such as “Data Leader of the Year” at Bonhill’s Women in IT Asia Awards 2023 and Wequity’s “Techinist” Award, reaffirming my commitment to advancing AI in financial services. I am committed to exploring new horizons and growing by continually learning and leveraging AI to drive meaningful change in the industry.
What is your area of expertise in AI and what made you choose it?
My area of specialization in AI focuses on its strategic application in the business domain, which transcends simple model development or data analysis to cover the use of AI to achieve tangible results. This encompasses the thoughtful integration of AI technologies to solve complex business challenges, improve decision-making processes and unlock new opportunities for growth and efficiency. Focusing on the practical implications of AI, my approach aims to harness these advanced technologies as automation or analysis tools and as catalysts for transformation and innovation within organizations. My background in this field stems from a blend of my Masters of Business Administration education and a passion for technology.
During my formative years, I immersed myself in the world of banking and the potential of artificial intelligence and machine learning to revolutionize traditional practices. My love for coding and analytical thinking – skills I honed through various computer science courses taken alongside my MBA – propelled my fascination even further. The process of querying and analyzing data, particularly its application to solving business problems, resonated with me, sparking a desire to further explore this synergy. My expertise therefore lies at the confluence of domain-specific knowledge and technical acumen. Whether creating algorithms or deciphering complex data sets, I thrive on the challenge of bridging the gap between technology and business strategy. This holistic approach, honed over years of experience, defines my commitment to leveraging AI to solve real-world business challenges.
How has generative AI impacted your field of work?
In the rapidly evolving field of AI, Generative Artificial Intelligence (GenAI) has already made a profound impact, serving as a central force in reshaping industrial paradigms, and the Fintech sector is no exception. Introducing GenAI into the ecosystem can significantly improve operational efficiencies, data integrity and customer engagement methodologies. By automating complex tasks, GenAI has dramatically accelerated processes, ensuring that tasks that once took hours are now completed in minutes with increased accuracy. This leap in operational efficiency has streamlined internal workflows and strengthened data integrity, leading to more reliable insights and decision-making.
Describe some challenges you faced to get to where you are now.
Initially, it was believed that to succeed in the data and AI fields, you needed an engineering background. However, my economics degree proved valuable, providing strategic insights. To fully engage with AI, I learned coding and data analysis skills to complement my knowledge of economics and finance. Over time, data analytics has evolved from a niche to a cornerstone of modern business, alongside my professional journey. I remain attached to its potential, which has become central in strategic decision-making.
Do you see enough female management positions in companies? What do you think should change?
The fintech sector has made significant progress in gender diversity, with a growing focus on women in leadership positions. However, achieving full gender parity remains a work in progress, highlighting the need for sustained efforts to remove barriers. A significant barrier is women’s reluctance to take on leadership roles due to acceptance of the status quo and fear of failure. To counter this, it is crucial to empower women through direct responsibilities. Mentoring and sponsorship play a vital role in supporting women’s leadership journeys.
Fiserv has launched innovative efforts to bridge this gap, such as the Women’s Impact Network (WIN) ERG, providing professional development, networking and leadership opportunities. Additionally, the Fiserv Leading Women program accelerates women’s career advancement through networking, skills development and mentoring. At the same time, the Rise Up program supports women in new leadership roles through specialized training modules. Blended training approaches ensure associates stay informed about technology and prepared for their roles.
What do you want to say to women who want to pursue careers in AI and other tech-related fields?
To aspiring women in the field of AI and technology: investing time in learning: it is crucial. Pursue your knowledge through education and self-guided exploration. Apply what you learn by integrating AI into your roles. Look for mentors to guide you. Learning opportunities often arise unexpectedly. Network and seek advice from seasoned professionals. Follow your passion for engineering and technology; it requires commitment, analytical skills and a passion for problem solving. Accept your interests and strengths to succeed.
