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Senior Solution Owner | AI & Data Solutions

1 month, 1 week ago
United States
Full-time
Senior
AI (Artificial Intelligence)
Artificial Intelligence and Machine Learning
Agile AWS Azure Databricks GCP Generative AI LLM Machine Learning Scrum Snowflake
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Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 30

Description

  • Define product vision and roadmaps for client solutions leveraging GenAI, LLMs, RAG architectures, and Agentic AI frameworks.
  • Lead the end-to-end product lifecycle for AI/ML products from ideation through launch, ensuring alignment with client business objectives and KPIs.
  • Develop business cases by analyzing market opportunities, competitive positioning, and ROI projections for AI implementations.
  • Oversee product strategy for large-scale data migration projects across cloud platforms such as AWS, Azure, and GCP.
  • Guide development of data products, including ingestion pipelines, transformation layers, governance frameworks, and consumption APIs.
  • Ensure data quality, security, compliance, and observability across project deliverables.
  • Facilitate Agile ceremonies and maintain well-groomed backlogs with detailed features and epics.
  • Define sprint goals aligned with quarterly objectives and long-term product vision.
  • Partner with client stakeholders, engineering teams, data architects, ML engineers, and UX designers to deliver integrated solutions.
  • Conduct design thinking workshops, user research sessions, and gap analyses to validate product direction.

Requirements

  • 5 to 7+ years of product management experience with 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, including AWS, Azure, and GCP.
  • Deep expertise in modern data architectures and platforms such as Snowflake, Databricks, and BigQuery.
  • Understanding of GenAI technologies such as 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 skills for translating complex technical concepts into compelling narratives.
  • Experience in consulting or client-facing product roles (preferred).
  • Previous software development or technical background (preferred).
  • Domain expertise in financial services, healthcare, retail, or manufacturing (preferred).
  • Certifications such as CSPO, SAFe Product Owner/Product Manager, or AWS/Azure/GCP Cloud Practitioner (preferred).

Interested in this position?

Apply directly on the company website

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