Senior Solution Manager – AI, Data Solutions

Role Overview

• Define product vision and roadmaps for GenAI/LLM solutions (GPT-4, Claude, Llama, Gemini), RAG, and Agentic AI
• Own end-to-end product lifecycle (0→1 and scale) aligned with business KPIs
• Build business cases (market analysis, ROI, competitive positioning)
• Lead large-scale data migration across AWS, Azure, GCP
• Oversee data pipelines, transformation, governance, and APIs
• Ensure data quality, security, compliance, and observability
• Lead Agile processes, backlog grooming, and sprint planning
• Break down complex features into incremental releases
• Balance feature delivery with technical debt and architecture improvements
• Work with clients, engineers, data scientists, and UX teams
• Translate technical solutions into business value
• Run workshops, user research, and product validation
• Define success metrics and analytics frameworks
• Drive continuous improvement and root-cause analysis
• Support product adoption and change management

Requirements

• 5–7+ years in product management (0→1 and scaling)
• 3–5+ years with AI/ML, GenAI, or data platforms
• Strong Agile/Scrum experience
• Experience in client-facing / consulting environments
• GenAI: prompt engineering, RAG, embeddings, vector DBs
• Agentic AI: LangChain, AutoGPT, CrewAI
• Data: ETL/ELT, data modeling, migration strategies
• Cloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery)
• MLOps, model deployment, AI observability
• Tools: Jira, Confluence, Figma, Tableau/Power BI, Git

Tech Stack

• AWS
• Azure
• BigQuery
• Cloud
• ETL
• Google Cloud Platform
• Tableau

Benefits

• Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms.
• Shape how enterprises adopt AI — from strategy to architecture to delivery.
• Grow within a team building modern AI-delivery practices, tools, and frameworks.
• Remote-friendly culture with strong engineering, data, and consulting partnerships.