Architect Product Strategy for Technical Platforms: Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives.
Drive AI/ML Product Development: Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems.
Manage Complex Data Platform Initiatives: Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations.
Execute Through Agile Delivery: Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and Epic level stories.
Enable Technical Decision-Making: Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment.

Bachelor's degree in Technology or Business related field (Master's preferred).
5-7+ years of experience in technical product management, solutions architecture, or software engineering.
5+ years in product management roles with demonstrated end-to-end product ownership.
3-5+ years of experience with AI/ML products, Generative AI, or data platform development.
3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies.
Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies.
AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen).
Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures.
Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery).
MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking.
Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies.
Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines.

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.

Senior Principal Technical Solution Owner / Product Manager – AI & Data Platforms

Key skills