Lead complex delivery projects and engage with clients to prioritize and manage backlogs. Advocate for change, serve as a liaison, and deliver client presentations while managing risks and ensuring project success.
Provectus is a Premier AWS partner at the forefront of Artificial Intelligence solutions, empowering businesses to unlock value and accelerate their transformation via bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, Provectus partners with clients worldwide and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete.
We are looking for Senior / Principal Solution Owners to lead enterprise-scale AI transformation programs for top-tier clients. This is a strategic role combining AI product management, consulting & client leadership, and delivery excellence. You will work directly with Business executives, Architects, Data/AI teams, compliance specialists, and engineering leads to shape and execute AI initiatives end-to-end. The principal candidate will also grow and mentor a Solution Owner team, influence delivery methodology, and play a strategic role in shaping our AI-consulting offerings.
What You’ll 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 data 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 Epic-level stories.
- Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies.
- Define sprint goals aligned with quarterly objectives and long-term product vision.
- Balance technical debt management with feature delivery, advocating for enablers and 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 analysis to uncover insights and validate product direction.
- Measure, Optimize, and Scale:
- Establish success metrics, analytics frameworks, and feedback loops to continuously improve product performance.
- Perform root-cause analysis on issues, identify systemic gaps, and drive resolution through data-informed decision-making.
- Champion product adoption across client organizations, advocating for best practices and change management.
What You Bring:
- Required Qualifications:
- Bachelor's degree in Technology or Business related field (Master's preferred).
- 5-7+ years of experience in product management, with demonstrated success taking technical products from 0-to-1 and scaling.
- 5+ years in product management roles with demonstrated end-to-end product ownership.
- 3-5+ years of experience with AI/ML products, Generative AI, or data platform development.
- 3-5+ years working in Agile/Scrum environments with a strong command of Agile methodologies and ceremonies.
- Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack Deep expertise in modern data architectures, cloud platforms (Snowflake, Databricks, BigQuery), and data engineering concepts.
- Proven track record of managing stakeholders across technical and business functions in complex, matrixed environments.
- Technical Depth:
- Understanding of GenAI technologies: prompt engineering, fine-tuning, RAG, vector databases, embedding models.
- Experience with Agentic AI frameworks (LangChain, AutoGPT, CrewAI) and orchestration patterns.
- Familiarity with data migration strategies, ETL/ELT pipelines, data modeling, and metadata management.
- Knowledge of MLOps practices, model deployment, and AI observability tools.
- Exposure to tools like Jira, Confluence, Figma, Tableau/Power BI, Git.
- Core Competencies:
- Design thinking and user-centered design methodologies.
- Exceptional communication and storytelling—translating complex technical concepts into compelling narratives.
- Data-driven decision making with strong analytical and synthesis capabilities.
- Bias toward action with "progress over perfection" mentality.
- Ability to thrive in ambiguity, navigating unknowns with structured problem-solving approaches.
- Differentiators:
- 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.
Why Join Us:
- Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms.
- Shape how enterprises adopt AI — from strategy to architecture to delivery.
- Grow within a team building modern AI-delivery practices, tools, and frameworks.
- Remote-friendly culture with strong engineering, data, and consulting partnerships.
Top Skills
AI
AWS
Azure
GCP
Ml
Project Management Tools
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