The latest installment in our Q&A series with female leaders in data features Subasini Periyakaruppan, the senior director of data and analytics at UNICEF USA. (Read our previous Q&A here.)
Subasini Periyakaruppan has spent the past 15-plus years spearheading innovative data and technology initiatives for data-driven companies. She currently serves as the senior director of data and analytics at UNICEF USA, where she oversees the implementation of managed self-service analytics and the development of a data governance roadmap. A frequent speaker and panelist, Subasini is also a member of the HBR Advisory Council and of the inaugural Chief Data and AI Officer Program at Carnegie Mellon University. You can follow Subasini on LinkedIn.
What inspired you to choose a career in data?
My journey into data was a natural extension of my engineering background and analytical mindset. I found myself drawn to uncovering patterns and anomalies in data and, more importantly, transforming these insights into compelling narratives that drove business outcomes. I thrived on ensuring data quality and challenging established interpretations when the numbers told a different story. The ability to validate intuitive hypotheses with concrete data gave me confidence in my decision-making.
While I enjoyed leading various data initiatives – from governance and quality to platform development and privacy implementation – a brief departure into product management ultimately reinforced my passion for data. I found myself missing the deep analytical work that had initially captivated me. This experience confirmed that my true calling lay in the data space, where my leadership, technical expertise, and analytical curiosity could make the most impact.
What has been the biggest challenge in your career so far?
The most significant challenge I’ve encountered in my career has been cultivating a data-driven culture, particularly in non-financial sectors where data literacy and appreciation may not be inherently strong. Building this foundation is crucial yet complex, requiring both organizational change and mindset shifts. Without a strong data culture, even the most sophisticated data initiatives can falter.
The challenge lies not just in implementing data systems, but in fostering an environment where data-driven decision-making becomes second nature. This involves breaking down resistance to change, demonstrating tangible value through quick wins, and patiently nurturing data literacy across all levels of the organization. I’ve learned that successful data transformation requires equal focus on people and technology, making the human aspect of data adoption as critical as the technical implementation.
Best advice you’d give to other women aspiring to work in data?
Be boldly curious, speak up, and build connections across your organization! Success in data isn’t just about technical skills – it’s about seeing the bigger picture and having the confidence to challenge conventional wisdom when data tells a different story.
Early in my data journey, I learned the value of looking beyond individual analyses to understand their broader impact. When I started connecting the dots between my data work and business outcomes, it transformed how I approached problems and presented solutions. By actively seeking mentors and reaching beyond my immediate team, I gained diverse perspectives that enriched my abilities and opened doors to exciting projects. These relationships empowered me to challenge assumptions and make impactful contributions. When you combine curiosity with cross-organizational collaboration, you transform from someone who just analyzes data into someone who drives real business change.
Where do you see the future of women in data?
We’re at a pivotal moment where data has evolved from being a byproduct to the foundation of AI-driven decisions shaping our world. As these algorithms increasingly influence critical aspects of life – from healthcare and education to employment – having women’s voices in data leadership isn’t just about diversity. It’s about ensuring AI systems reflect the full spectrum of human experience and wisdom, bringing unique perspectives that make solutions more comprehensive and equitable.
Working in the non-profit sector, I’m particularly excited about AI’s potential to address humanity’s greatest challenges. From accelerating disease eradication and expanding educational access to combating global hunger and nurturing healthier future generations, AI holds tremendous promise for social good. When women help shape the future of data and AI, we ensure that these technological advancements serve and empower various segments of society. The stakes have never been higher, and the opportunity to make a significant impact has never been greater.
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