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Senior Product Owner – Forward Deployed Executive, AI Delivery
ProvectusSenior Solution Owner overseeing AI-enabled enterprise transformations at Provectus, collaborating globally with clients on tailored solutions. Leading the delivery and ensuring business outcomes through innovative solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep domain expertise in Financial Services Industry (FSI) and Healthcare Life Sciences (HCLS), with a strong focus on product ownership and delivery leadership in AI/ML and GenAI contexts. Proficient in Agile methodologies, change management, and driving client engagement through effective communication and prototyping.
Highest-signal resume keywords
Product OwnershipAgile/Scrum ExperienceAI/ML and GenAI ExpertiseClient-Facing DeliveryAnthropic-Native Toolset Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PrototypingData ModelingETL/ELTPrompt EngineeringVector DBsMCP IntegrationsCloud PlatformsAI ObservabilitySolution Vision DefinitionSuccess Metrics Definition
Soft Skills
Strong CommunicationExecutive StorytellingStructured Problem-SolvingBias to ActionThrives in Ambiguity
Tools & Technologies
ClaudeClaude CodeCoworkJiraConfluenceFigmaTableauPower BIGitMLOps
Certifications & Qualifications
Anthropic CertificationCSPOSAFe PO/PMAWS CertificationAzure CertificationGCP Certification
Industry Keywords
Financial Services IndustryHealthcare Life SciencesChange ManagementClient EngagementEmbedded Delivery
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformTableau
About the role
Key responsibilities & impact- Own the offering story and outcomes:
- Define value proposition, positioning, and reusable artifacts for your offering/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.
- Deliver in the field (forward-deployed):
- Stand up Blueprints on live client data; drive rapid prototyping from use case → context → result.
- Act as FDE or FDX in a two-in-the-box team; own OCM and adoption alongside the technical build.
- Ship with the Anthropic-native toolset: Claude, Claude Code, Cowork, MCP servers, skills, and custom harnesses.
- Drive agentic and AI product execution:
- Define solution vision and roadmap for GenAI/agentic engagements (Claude and comparable frontier models), RAG, and agentic workflows.
- Break complex work into incremental releases; balance delivery against technical debt and architecture.
- Lead Agile execution — backlog, sprint planning, release process.
- Scale adoption and measure impact:
- Define success metrics and analytics; drive continuous improvement and root-cause analysis.
- Support change management, enablement, and reusable playbooks so wins repeat across accounts.
Requirements
What you’ll need- Deep domain expertise in **FSI and/or HCLS, ideally in a client-facing/consulting context.
- Proven ability to lead or materially contribute to a productized offering (0→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.
- Fluent English (working language).
- Anthropic-native & technical fluency.
- Hands-on with Claude, Claude Code, and Cowork; building skills, workflows, and productivity tooling for yourself or your team.
- MCP (Model Context Protocol) integrations, connectors, and custom harnesses.
- GenAI/agentic patterns: prompt engineering, RAG, embeddings, vector DBs, agent frameworks.
- Data: ETL/ELT, data modeling, migration and governance fundamentals.
- Cloud & platforms: AWS (primary); MLOps and AI observability awareness.
- Tools: Jira, Confluence, Figma, BI (Tableau/Power BI), Git.
- Design thinking, data-driven decisions, strong communication and executive storytelling.
- Bias to action; thrives in ambiguity with structured problem-solving. - Engineering mindset and fluency with AI-native development — prototypes built with Claude Code or similar are expected, not aspirational.
- Second priority vertical beyond your primary FSI/HCLS focus.
- Prior experience in a Premier AWS or Anthropic partner environment.
- Anthropic certification (e.g., Solutions Architect or Claude Certified track) or willingness to complete it early.
- Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP.
- Software development background.
Benefits
Comp & perks- Private medical insurance or sports coverage
- Paid sick leave, vacation, and public holidays
- Equipment and all the tech you need for comfortable, productive work.