Senior Product Owner / Forward Deployed Executive - AI Delivery
P
ProvectusEnterprise AI
Source API remote eligibility restrictions: Armenia, Poland, Serbia, Spain, UkraineFull-TimeExecutive
Salary not disclosed
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Job Details
- Languages
- Fluent English.
- Experience
- 5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms.
- Required Skills
- AWS
Requirements
- Bring deep domain expertise in Financial Services & Insurance and/or Healthcare & Life Sciences, ideally in a client-facing or consulting context.
- Have 5–7+ years in solution/product ownership or delivery leadership.
- Have 3–5+ years with AI/ML, GenAI, agentic systems, or data platforms.
- Show a track record operating forward-deployed or embedded with clients, including hands-on prototyping.
- Demonstrate the ability to lead or materially contribute to a Provectus Program or Blueprint from 0-to-1 and at scale, and land it as client delivery.
- Bring strong Agile/Scrum experience and familiarity with outcome-based, milestone-priced engagements.
- Be fluent in English.
- Have working knowledge of Claude, Claude Code, and Cowork, including building skills, workflows, and productivity tooling; MCP integrations, connectors, and custom harnesses are required.
- Understand prompt engineering, RAG, embeddings, vector databases, and agent frameworks well enough to assess quality and translate them for client stakeholders.
- Understand enterprise ETL/ELT, data modeling, and governance well enough to scope integrations and identify data-readiness risks.
- Understand AWS as the primary platform, as well as MLOps and AI observability tradeoffs.
- Apply design thinking, data-driven decision-making, executive storytelling, and structured problem-solving in ambiguous settings.
Responsibilities
- Define value propositions, positioning, and reusable artifacts for assigned programs or Blueprints, aligning sales and delivery.
- Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped SOWs.
- Run market and use-case validation, workshops, and user research; turn findings into demos and first deployments.
- Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data and drive rapid prototyping.
- Build with Claude Code, AWOS, MCP servers, Skills, and plugins; drive Cowork Activation as a parallel client-facing workstream.
- Define solution vision and roadmaps for GenAI and agentic engagements, RAG, and agentic workflows.
- Break complex work into incremental releases and balance delivery against technical debt and architecture.
- Lead Agile execution, including backlog, sprint planning, and release processes.
- Define success metrics and analytics, drive continuous improvement and root-cause analysis, and contribute to the AI Maturity Index, ROI read, and cost signal measurement framework.
- Support change management, enablement, and reusable playbooks.
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