Senior Solution Owner | AI & Data Solutions

What You Will Do: Drive AI-Powered Product Innovation Define product vision and roadmaps for client solutions leveraging GenAI, LLMs (GPT-4, Claude, Llama, Gemini), RAG architectures, and Agentic AI frameworks Lead end-to-end product lifecycle from ideation through launch for AI/ML products, ensuring alignment with client business objectives and KPIs Develop compelling business cases by analyzing market opportunities, competitive positioning, and ROI projections for AI implementations Lead Complex Data & Migration Initiatives Oversee product strategy for large-scale data migration projects across cloud platforms (AWS, Azure, GCP) Guide data product development including ingestion pipelines, transformation layers, governance frameworks, and consumption APIs Ensure data quality, security, compliance, and observability across all deliverables Champion Agile Delivery Excellence Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed features and epics Define sprint goals aligned with quarterly objectives and long-term product vision Balance technical debt management with feature delivery, advocating for architectural improvements Enable Cross-Functional Collaboration Partner with client stakeholders, engineering teams, data architects, ML engineers, and UX designers to deliver integrated solutions Translate technical capabilities into business value narratives tailored for different audiences, from developers to executive leadership Conduct design thinking workshops, user research sessions, and gap analyses to uncover insights and validate product direction. Required Qualifications: 5 to 7+ years of experience in product management with demonstrated success taking technical products from 0 to 1 and scaling 3 to 5+ years of experience with AI/ML products, Generative AI, or data platform development 3 to 5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies Deep understanding of cloud architectures (AWS, Azure, GCP) and the modern data stack Deep expertise in modern data architectures and platforms such as Snowflake, Databricks, and BigQuery Understanding of GenAI technologies: prompt engineering, fine-tuning, RAG, vector databases, and embedding models Experience with Agentic AI frameworks such as LangChain, AutoGPT, or CrewAI Familiarity with data migration strategies, ETL/ELT pipelines, data modeling, and metadata management Proven track record managing stakeholders across technical and business functions in complex environments Exceptional communication and storytelling, translating complex technical concepts into compelling narratives Nice To Have: Experience in consulting or client-facing product roles Previous software development or technical background Domain expertise in financial services, healthcare, retail, or manufacturing Certifications: CSPO, SAFe Product Owner/Product Manager, AWS/Azure/GCP Cloud Practitioner