Ayush Gautam — Product Manager

I am a Data Product Manager and Data Delivery Lead with ~9+ years of experience building and scaling enterprise data products across FMCG, Retail, Energy, Banking, and Insurance sectors. I own the end-to-end lifecycle of global analytics platforms, defining product vision, multi-year roadmaps, and measurable value realization. I align local market requirements with global KPI frameworks, drive product adoption through persona-led design and user journey optimization, and lead enterprise programs such as Secondary Sales Data (SSD) expansion and Data Quality Improvement initiatives. I work closely with commercial, marketing, finance, and operations leaders to ensure data products directly influence business growth, trade effectiveness, campaign ROI, and competitive positioning. Partnered with the Global CDP Owner to design and optimize the end-to-end Customer Data Platform, incorporating cross-platform customer data integration and golden record creation to enable accurate customer profiling and strategic prioritization. My product leadership is backed by strong technical and architectural depth. I have hands-on experience across BI development, data modelling, ETL pipelines, and scalable data warehousing practices using Power BI, Tableau, SQL, Python, Azure Data Factory, Databricks, MS Fabric, IBM DataStage, and Alteryx. I lead cross-functional data engineering teams, translating business requirements into technically robust solutions while ensuring delivery excellence through Agile governance, release management, SIT/UAT, and change control processes. My early experience as a BI Developer, BI Architect, and Senior Business Analyst enables me to bridge strategy and engineering seamlessly.I have built data products integrating Nielsen EPOS, Kantar, Dunnhumby, Nectar, Google Analytics, Adobe Analytics, Marketo, Informatica, and social/influencer intelligence platforms to deliver sell-in/sell-out insights, campaign effectiveness tracking, golden customer record creation, promotional analytics, and customer development intelligence. Increasingly, I focus on embedding AI, Gen AI, and emerging Agentic AI capabilities into data ecosystems - enabling intelligent insight generation, natural language interaction, anomaly detection, and AI-driven decision support. My goal is to evolve traditional analytics environments into scalable, AI-powered decision intelligence platforms that create sustained business impact. Feel free to reach out on:- ayushgautam2015@yahoo.in

Stackforce AI infers this person is a Data Product Manager with expertise in BI and data engineering across multiple industries.

Location: Bengaluru, Karnataka, India

Experience: 9 yrs 4 mos