Neeraj Gehani — Product Director

I bridge the gap between data, strategy, AI/ML solutions and product development to unlock the power of data resulting in measurable customer and business impact. With diversified experiences across Product Management, Data Science and Market Intelligence (data being the unifying thread), I have had the first-hand experience of envisioning, building, and deploying scalable data-driven solutions/products across retail, telecom and technology organizations at different stages of digital transformation. I am a keen learner and an educator at heart. I am a frequent speaker as guest faculty/public speaker at ed-tech platforms, business schools, start-up accelerator programs and industry events, sharing my knowledge and fostering the next generation of data-driven leaders. My specialties include: [Retail Media] • Advanced Audience targeting and segmentation capabilities. • Insights driven omnichannel media planning. • Omnichannel Measurement (across digital and physical channels, multi-touch attribution, MMM, Long-term Media impact etc.) • Data science (personalization/AB testing/test and control designs) • Working with On-boarders, Clean-rooms, Social/Web/CTV partners, DSPs and SSPs to help build next generation targeting and measurement solutions for Offsite channels in a cookie less world. • Retail Media Inventory and Yield Optimization [AI and ML Product/Platforms] • Full-stack experience of envisioning, developing, and deploying AI/ML Solutions including data platform architecture, leading cross-functional teams to build and deploy AI/ML Solutions (Ad relevance/ranking, Keyword planning, Gen AI Pilots, Third-party data sources etc.) • Drive vision and roadmap for evolving ML platform capabilities (Data pipelines, MLOPs etc.) including build/buy considerations, evaluating third party partnerships etc. • Deep expertise in launching and implementation of loyalty/personalization programs [Product Management] • Strong product management and technical skills to effectively drive cross functional programs spanning multiple orgs including commercial, product, marketing, Product and data Engineering and legal teams. • Articulate and evangelize product vision, own, and drive the product roadmaps for retail media analytical modules (data science, Insights, Measurement, etc.) and AI/ML platform. • Building and leading world-class global teams built on the foundations of customer first thinking, authenticity, diversity, and growth mindset.

Stackforce AI infers this person is a MarTech expert with strong capabilities in AI-driven product management and data science.

Location: New Delhi, Delhi, India

Experience: 21 yrs 6 mos