Arun Prem Sanker is one of the leaders in the field of product data science and is specially recognized for shaping the experimentation culture in tech organizations. Having extensive experience in different global tech ecosystems, he has now grown as a strategic advisor toward trust, precision, and business value in product experiments.
Where It All Began
Arun completed his Bachelor of Electronics and Communication Engineering at the National Institute of Technology, Calicut which formed his background in technology and analytics. He later pursued a Masters in Business Analytics in Georgia Institute of Technology as a way of increasing his analytical skills.
Steps Towards Excellence
His schooling provided him with a multidisciplinary base on which he functions nowadays: data, experimentation, and product strategic thinking.
Arun has spent the past ten years defining and growing the use of data-driven decision-making in some of the world's most successful companies, in which she has invested as an investor or advised as a consultant, including Oracle, Flipkart, Gojek, Amazon, and Stripe.
The first jobs put him in a position where he could excel in analytics and frameworks of experimentation. His leadership trajectory started taking off at high-growth technology companies, with close collaboration among product, engineering, and research teams.
At Gojek and Flipkart, Arun integrated behavioral analytics into product workflows to ensure experimentation influenced decisions from wireframes to launches. Today, at Stripe, he leads the data science efforts of one of the company's SaaS products. He builds experimentation-led decision systems in support of Fintech innovation.
Significant Actions and Leading Results
Having worked across e-commerce, fintech, ads, and consumer internet, Arun has driven measurable impact via the following:
Embed product experimentation as a strategic pillar, not an afterthought.
Introducing structures for hypothesis setting, test design, and statistical guardrails
Opening up the product, design and business team experimentation literacy.
Promoting responsible, ethical and transparent data usage.
He has made efforts to empower product teams to ship features of evidence-based user behavior long-term value, rather than quick wins and intuition.
Leading in the Present Era
In his present role, Arun is a data scientist at Stripe leading experimentation and data strategies for a major SaaS offering. He collaborates cross-functionally with product leaders, engineers, and operations teams to make sure that every experiment meaningfully helps strengthen product integrity and growth in markets.
His influence goes beyond execution: he is an internal educator, equipping various teams to build trustworthy, ethical, and well-informed pipelines in experimentation.
What Drives Their Approach
Arun emphasises the importance of data scientists acting not only as analysts but as embedded advisors within product teams. He advocates:
Designing experiments collaboratively-not validating decisions retrospectively
Prioritizing clarity, ethical reasoning, and humility in data interpretation
Institutionalizing experimentation processes to scale responsibly
Ensuring trust becomes the true output of experimentation, rather than vanity metrics.
His philosophy also chimes with the move toward responsible, transparent, and learning-oriented data cultures in all modern organizations.
Celebrated for Excellence
Arun is globally acclaimed with his interdisciplinary experience and influence in the technological sector. His experience in Stripe and in other world tech organizations before it has earned him respect in the industry in his efforts to improve experimentation-based innovation. His academic credentials from Georgia Tech and NIT Calicut further reinforce his position as a credible leader in applied data science and decision intelligence.
Conclusion
Arun Prem Sanker represents a new cadre of data science leadership, blending technical rigour with strategic judgement and organizational enablement. He helped reframe how product experimentation, as a discipline rooted in trust, methodology, and common understanding, could bring a more dependable and responsible culture of innovation into global technology firms. His journey shows how data science can elevate not just metrics but the integrity, intelligence, and long-term success of product decisions when applied collaboratively and thoughtfully.