The latest installment in our Q&A series with women in data features Swapna Tom, a distinguished technologist specializing in enterprise data analytics and artificial intelligence at HP Inc. (Read our previous Q&A here.)
Swapna Tom serves as a distinguished technologist specializing in enterprise data analytics and artificial intelligence at HP Inc. She is responsible for driving innovation, shaping the future architectural strategy, and establishing the roadmap for analytics and AI within the organization. Over the past two decades, she has held several leadership roles, including contributing to HP’s Society of Women Engineers, leading the Data Science Affinity Group, and serving on the advisory board for DATAVERSITY’s Women in Data Management and Governance community.
Below, we chatted with Swapna about her journey in data. You can follow her on LinkedIn.
What inspired you to choose a career in data?
My journey into the world of data was sparked by a deep passion for solving complex problems and creating impactful solutions. With an academic background in electrical and electronics engineering and process automation, I witnessed firsthand the transformative potential of data in driving innovation and enhancing efficiency. As I transitioned from IBM India to HP Inc., I actively sought roles that enabled me to architect data ecosystems, lead analytics initiatives, and shape the future of enterprise data. The dynamic nature of data – its ability to transform businesses and empower individuals – continues to inspire me every day. Connecting the dots has always been a passion of mine, and working in the data domain allows me to channel that passion into creating matured data ecosystems and generating actionable insights.
Favorite female role model or mentor who encouraged you to succeed?
Throughout my career, I have had the privilege of working alongside inspiring women leaders, particularly through organizations such as the Society of Women Engineers and the Women in Data Advisory Council. These communities have offered invaluable mentorship, encouragement, and a strong sense of belonging. I am grateful for the chance to both learn from and mentor others, helping to build a supportive network for women in technology. Being part of women’s groups has been instrumental in boosting my confidence, and the women leaders in these circles continually inspire me with relatable real-life examples. One memorable instance was when our CFO shared, “I am not a superwoman and I have to prioritize, so my house is not always spotless – and that’s reality. Accept it and do your best.”
What has been the biggest challenge in your career?
One of the most significant challenges I have faced in my career has been navigating organizational changes while driving technical innovation. Each time there was a change in management, I was given 30 minutes to present the data strategy and architecture, which was always stressful, but once I convinced the management, that experience reinforced my confidence. Leading teams through major transitions – such as cloud migrations and the adoption of new technologies – required resilience, adaptability, and strong communication skills. As a woman in data, I have also been committed to ensuring that diverse voices are heard and represented, consistently advocating for inclusion and equity in every project.
Best advice you would give to other women aspiring to work in data and become data leaders?
Embrace continuous learning and seek out leadership opportunities, even when they seem daunting. It is crucial to build technical expertise, but equally important to develop people skills, communication abilities, and leadership skills. I encourage you to find mentors, join affinity groups, and share your insights openly – your perspective is valuable. Remember, leadership is about lifting others as you rise.
Where do you see the future of women in data?
The future for women in data is exceptionally promising. With ongoing advancements in artificial intelligence, machine learning, and data governance, there are limitless opportunities to innovate and lead. I envision women playing a pivotal role in shaping ethical, inclusive, and impactful data solutions. Advisory boards, affinity groups, and mentorship programs are actively nurturing the next generation of data leaders, and I am proud to be part of this transformative movement.
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