data products , Saas, Jira, Confluence, Enterprise Software, Prototyping tools, Ad tech, Analytics, Metrics and measurement methodologies, DaaS, Data flows, Agile product development, Product management, audience measurement, MCP, Aha, data models, Media Analytics, Prompt design, Agentic workflows, Analytics platforms

Product Delivery, data-driven insights, feature delivery and tradeoffs, generative AI tools, customer research, Market Analysis

Web Technologies, Product Delivery, API Integrations, performance metrics, Lead Generation Funnel Optimization, Browser Experience Ownership, Fulfillment Booking Capabilities, Cross-Functional Collaboration, Data Intent Analytics

Software Development, generative AI tools, Technical Presentations, LLM interfaces, product management

User story mapping and requirements gathering, Market research and competitive analysis using industry-standard methods, Customer journey mapping and UX design principles, Business process modeling at program and enterprise levels, Agile and Scrum methodologies for product development, API design and integration strategies, Data analytics platforms for product insights, Metrics-driven product performance monitoring and optimization, Enterprise software development lifecycle and architecture, Developing and executing product roadmaps and strategic vision, SaaS product management in large-scale environments, Lean Product Management frameworks, Designing product blueprints and translating business requirements into technical specifications, Change management practices in enterprise settings, Managing product backlogs using tools such as Jira or Azure DevOps

Data Analytics, Apis, REST API documentation, AI integration, GraphQL APIs, AI tools, MCP servers

Product Management, Growth or product-led adoption, Packaging and pricing as a product decision, Experimentation practice