Ravi P.'s Linkedin Analytics

Growth-oriented, visionary leader with expertise across Technology Product Management, Engineering, Enterprise Data Strategy / Management / Analytics, AI Strategy, Change Management and Transformation. Expert in solving complex consumer and technology problems and translating business strategy into consumer facing Digital Products and Large-scale Enterprise Programs and Platforms. Proven and evidenced expertise: ☀️Technology Product Leadership (Concept > Design > Roadmap > Engineering > Experience > Value) ☀️Enterprise Data and Analytics Strategy (Data Architecture, Data Engineering, Platform Development, Governance, Quality, Operations) ☀️Data Science/Artificial Intelligence Strategy & AI enabled Products ☀️Change Management and Business/Technology Transformation (Product, Agile, DevOps, Lean, Six Sigma) ☀️Business Partner, Advisor, People Leader, Culture builder with Customer Obsession Mindset Skill Areas: 🎯Culture Ambassador enabling value driven performance built on relationships, trust, transparency, compassion, accountability and innovation. Diversity, Equity and Inclusion crusader building diverse and empowered teams, working across CXOs and organizations. 🎯Product Design and Management using Design /System Thinking targeted towards elevating Consumer Experience and NPS across Omni-Channel consumer journeys addressing a variety of consumption patterns and digital service channels. Inspire, coach and mentor Product and engineering teams and develop customer obsession and operational excellence culture. Transition to DevSecOps, in an agile-based Continuous Delivery model. 🎯Enterprise-wide data strategy with focus on Data Products | Data Architecture | Data Governance and management | Data Warehousing | Data Modeling | Business Intelligence. Build automated capabilities to support data lifecycle management including data protection, data monitoring, retention, data cost, usage, privacy services, consent, data sharing services and platforms. Consult and architect solutions combining real-world data with operational data. 🎯Incubate and mature AI and Data Science teams from ground up including talent management, training & development, Hybrid-Cloud Platform and AI Pipeline development, Model development, Model serving in production and generating value from data science and AI products. 🎯IT Service Management, Change Management, Re-Engineering, Process Development & Improvement, Six Sigma, LEAN, DevOps, CI/CD, Hyper automation, Robotic Process Automation (RPA), CRM Implementation