Provectus

Senior Solution Owner – AI, Data Solutions

Provectus

full-time

Posted on:

Location Type: Remote

Location: Colorado • United States

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Job Level

Senior

Tech Stack

AWSAzureBigQueryCloudETLGoogle Cloud Platform

About the role

  • 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.

Requirements

  • 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
Benefits
  • Long-term B2B collaboration
  • Fully remote setup
  • A budget for your medical insurance
  • Paid sick leave, vacation, public holidays
  • Continuous learning support, including unlimited AWS certification sponsorship
  • Access to the latest AI tools and premium subscriptions
  • Clear career growth path
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI/ML product managementGenerative AIdata platform developmentcloud architecturesAgile methodologiesdata migration strategiesETL/ELT pipelinesdata modelingmetadata managementprompt engineering
Soft Skills
communicationstorytellingcross-functional collaborationstakeholder managementdesign thinkinguser researchgap analysisleadershipstrategic thinkingproblem-solving