Senior Solution Owner | AI & Data Solutions

Reposted 6 Days Ago
Be an Early Applicant
2 Locations
Remote
Senior level
Artificial Intelligence • Information Technology • Consulting
The Role
As a Senior Solution Owner, you will lead AI and data solution strategies, oversee AI/ML product lifecycles, guide data migrations, and collaborate with cross-functional teams to ensure successful delivery and innovation.
Summary Generated by Built In

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

What We Offer:

  • 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

Skills Required

  • 5 to 7+ years of experience in product management with success in scaling technical products
  • 3 to 5+ years of experience with AI/ML products or data platform development
  • 3 to 5+ years in Agile/Scrum environments with strong command of Agile methodologies
  • Deep understanding of cloud architectures (AWS, Azure, GCP)
  • Deep expertise in modern data architectures and platforms like Snowflake, Databricks, and BigQuery
  • Understanding of GenAI technologies including prompt engineering and model fine-tuning
  • Experience with Agentic AI frameworks such as LangChain, AutoGPT, or CrewAI
  • Familiarity with data migration strategies and ETL/ELT pipelines
Am I A Good Fit?
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The Company
HQ: Palo Alto, CA
572 Employees
Year Founded: 2010

What We Do

Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI. We are recognized by industry think tanks as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees. Provectus is an AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps, and Machine Learning. We design and build AI solutions for industry-specific use cases, Data and Machine Learning foundation, Cloud transformation, and DevOps adoption.

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