Provectus - Senior Product Owner/ Forward Deployed Executive
Requirements
• Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context. • Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery. • Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping. • 5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms. • Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements. • Fluent English. • A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must. • GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders. • Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks. • Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs. • Design thinking, data-driven decisions, strong communication and executive storytelling. • Bias to action; thrives in ambiguity with structured problem-solving. • Enough engineering empathy to earn credibility with senior engineers and architects on day one. • Second priority vertical beyond your primary FSI/HCLS focus. • Prior experience in a Premier AWS or Anthropic partner environment. • Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early. • Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP. • Software development background.
Responsibilities
• Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery. • Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs. • Run market/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; drive rapid prototyping from use case to context to result. • Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream. • Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows. • Break complex work into incremental releases; balance delivery against technical debt and architecture. • Sprint-Enable-Realize engagement model. • Lead Agile execution - backlog, sprint planning, release process. • Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program. • Define success metrics and analytics; drive continuous improvement and root-cause analysis. • Support change management, enablement, and reusable playbooks so wins repeat across accounts.
Benefits
• Deliver frontier work on Provectus' delivery stack — Cowork activation, Agentic SDLC program, and Blueprint Activations across FSI and HCLS — with real client impact. • Shape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment. • Work forward-deployed in small, senior teams of Forward Deployed Executive + Principal Architect + Forward Deployed Engineers. • Grow inside a team actively building the modern AI-delivery practice, tooling, and frameworks. • Remote-friendly culture. • Private medical insurance or sports coverage • Paid sick leave, vacation, and public holidays • Equipment and all the tech you need for comfortable, productive work. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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