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Senior Product Owner - Forward Deployed Executive, AI Delivery

🕒 July 13

🗽 New York – Remote

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⏰ Full Time

🟠 Senior

✅ Product Manager

🦅 H1B Visa Sponsor

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👻 Ghost score 13%

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Logo of Provectus

Provectus

501 - 1000 employees

Founded 2012

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

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

• Define value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales and delivery • Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work • Run market and use case validation, workshops, and user research, and turn findings into demos and first deployments • Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result • Build with the Provectus delivery stack, including Claude Code, AWOS, MCP servers, Skills, and plugins • Define solution vision and roadmap 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 across backlog, sprint planning, and release process, following a Sprint, Enable, Realize engagement model • Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read • Define success metrics and analytics, and drive continuous improvement through root cause analysis • Support change management, enablement, and reusable playbooks so wins repeat across accounts

🎯 Requirements

• Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context • Proven ability to lead or materially contribute to a Provectus Program or Blueprint from zero to one and scale, landing it as real client delivery • Track record operating forward deployed or embedded with clients, as either a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping • 5 to 7+ years in solution or product ownership or delivery leadership • 3 to 5+ years with AI/ML, GenAI, agentic systems, or data platforms • Strong Agile/Scrum experience and familiarity with outcome based, milestone priced engagements • Working knowledge of Claude, Claude Code, and Cowork, including building skills, workflows, and productivity tooling • Comfort with MCP integrations, connectors, and custom harnesses • Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, well enough to assess quality and translate to client stakeholders • Data fundamentals, including what ETL/ELT, data modeling, and governance mean in an enterprise context • Familiarity with AWS as a primary cloud platform, and what MLOps and AI observability involve • Strong design thinking, data driven decision making, and executive storytelling • Bias to action and comfort operating with structured problem solving in ambiguity • Enough engineering empathy to earn credibility with senior engineers and architects on day one • Fluent English

🏖️ Benefits

• Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare • The chance to shape how leading enterprises adopt AI, from strategy through first deployment • A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers • A growing AI delivery practice where you help build the tooling and frameworks, not just use them • Remote friendly culture

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