Divansh Goel — Director of Engineering
Every organization is trying to unlock the value of its data—but few know how to translate analytics and AI into real business outcomes. That’s the space where I thrive. With 15+ years of experience across global organizations, I’ve built my career at the intersection of data, AI, product strategy, and business transformation. Today, as a Director at Visa, I lead the creation of scalable analytics assets and AI-driven products that power smarter decisions, faster insights, and multimillion-dollar impact. My work goes beyond business intelligence, dashboards and machine learning models—I focus on designing end-to-end analytics products, operationalizing AI, and leading high-performing teams that consistently deliver measurable value. My professional journey has been defined by tackling complex problems, shaping strategic solutions, and driving innovation. I’ve program-managed large analytics engagements, introduced automation to boost productivity, and architected data science solutions that are not only technically strong but aligned to business strategy. Whether predictive analytics, business intelligence, descriptive insights, AI, Generative AI, and now the evolving field of Agentic AI systems, I’m driven by one goal: turning data and AI into business advantage. I stay hands-on with a broad tech stack—Python, SQL, Hive, PySpark, Tableau, D3, React.js, AWS, Excel/VBA—but remain tool-agnostic. Great solutions aren’t defined by tools; they’re defined by vision, execution, and the ability to connect analytics with meaningful outcomes. I’m now channeling my expertise toward shaping the next generation of AI-enabled analytics products and data-driven transformation initiatives, especially in roles that demand strategic thinking, product leadership, and a strong customer impact lens.In summary, I would define myself as a leader who blends innovation, execution, and business acumen—and who can accelerate any organization’s analytics and AI journey to bring tangible business value. Core Competencies: Analytics Leadership, Strategy, Predictive and Descriptive Analytics Delivery, Machine Learning, AI, Generative and Agentic AI, Analytics Solutions Design, People management, Stakeholder and Client management, Program & Product Management
Stackforce AI infers this person is a Fintech expert with strong capabilities in analytics and AI-driven product management.
Location: Bengaluru, Karnataka, India
Experience: 20 yrs 7 mos
Skills
- Analytics Solutions Design
- Product Management
- Program Management
- Analytics Leadership
- Project Management
- Business Development
- Data Analysis
- Data Science
Career Highlights
- 15+ years of experience in data and AI.
- Led teams delivering multimillion-dollar analytics products.
- Expert in transforming data into business advantage.
Work Experience
Visa
Director (2 yrs 1 mo)
Accenture
AVP Analytics (2 yrs 8 mos)
Analytics Manager (7 yrs 4 mos)
BlackRock
Associate (4 yrs 1 mo)
Evalueserve
Research Lead (4 yrs 4 mos)
Futures First
Derivatives Trader (1 yr 2 mos)
IBM India Pvt Ltd
Associate Systems Engineer (1 yr 8 mos)
Education
Bachelor of Technology (BTech) at Indian Institute of Technology, Kanpur
CFA at CFA Institute, USA
