{"additional": "", "additionalPlain": "", "categories": {"commitment": "Full-time", "department": "Solution Ownership", "location": "New York", "team": "SO practice - Andrew Marot", "allLocations": ["New York", "Connecticut", "Maryland", "Philadelphia, Pennsylvania", "New Jersey", "Boston, Massachusetts"]}, "createdAt": 1779285459294, "description": "", "descriptionPlain": "", "id": "c28a4381-9a4e-4a1b-b531-b308694654b3", "lists": [{"text": "What You Will Do:", "content": "\n

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.

\n\n

"}, {"text": "Required Qualifications:", "content": "\n

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

\n"}, {"text": "Nice To Have:", "content": "\n

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

\n"}], "text": "Senior Solution Owner | AI & Data Solutions", "country": "US", "workplaceType": "remote", "opening": "", "openingPlain": "", "descriptionBody": "", "descriptionBodyPlain": "", "hostedUrl": "https://jobs.lever.co/provectus/c28a4381-9a4e-4a1b-b531-b308694654b3", "applyUrl": "https://jobs.lever.co/provectus/c28a4381-9a4e-4a1b-b531-b308694654b3/apply"}

Senior Solution Owner | AI & Data Solutions

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