Senior Solution Owner – AI, Data Solutions

🕒 April 7

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Provectus

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

📋 Description

• 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

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