Lead complex delivery projects for clients utilizing agile methodologies. Manage cross-disciplinary teams, advocate for change, ensure alignment between business and technical teams, and oversee project outcomes and client communication.
About Provectus
At Provectus, we empower enterprises to unlock transformative value through AI, GenAI, ML and data-driven innovation. As a leading AI and data management consulting company, we partner with clients to architect, build, and scale cutting-edge solutions leveraging Generative AI, Agentic workflows, and modern data platforms.
Who We're Looking For
We seek an exceptional Senior Product Manager who thrives at the intersection of emerging AI technologies and enterprise data transformation. You'll lead product strategy and execution for client engagements involving AI, Generative AI, Agentic AI systems, and complex data migration initiatives – delivering solutions that drive measurable business impact.
The ideal candidate seamlessly navigates between strategic vision and tactical execution, translating ambiguous business challenges into actionable product roadmaps. You're equally comfortable presenting AI architecture decisions to C-suite executives as you are collaborating with ML engineers on prompt engineering strategies or data scientists on embedding models.
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
- 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
- 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
- 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
- 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
Lead Complex Data & Migration Initiatives
Champion Agile Delivery Excellence
Enable Cross-Functional Collaboration
Measure, Optimize, and Scale
What You Bring:
- 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 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
- 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
- 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
- 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
Technical Depth
Core Competencies
Differentiators
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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