Senior Product Owner AI

The IT department is in full build mode: we are growing and structuring the team to support a major ERP transformation, an AI automation portfolio, and a NIS2 compliance program all running in parallel. Joining now means being part of the architecture, not inheriting a finished department. The right profile is comfortable with ambiguity, thrives in a context where processes are being defined rather than followed, and brings a genuine appetite for continuous improvement.

The Senior PO AI is the hands-on product owner for the ARIANE portfolio (Naturacare’s internal AI-driven automation and application program). The role spans the full value chain: frame use cases against business outcomes, write the functional specs and user stories, and directly build and ship lightweight AI-powered applications and automation flows using LLMs and Claude Code as the primary delivery tools. This is not a coordination profile: the Senior PO AI ships the first working version, validates it with business sponsors, and hands off to the AI Full Stack Developer (joining H2 2027) when scope requires a full three-tier production application. The role also enforces the non negotiable read-and-propose guardrail and aligns IT and business functions across all 5 sites

Position's missions

1. ARIANE Backlog, Portfolio Governance and Agile Facilitation

• Own the ARIANE backlog at portfolio level: intake, scoring, prioritization, and sequencing of AI use cases across all business functions and all 5 sites
• Frame each use case as a product increment: problem statement, value hypothesis, acceptance criteria, and KPIs
• Arbitrate between business value, technical complexity, and risk; escape to CIO when trade-offs exceed the team’s authority
• Facilitate Agile ceremonies for ARIANE: backlog refinement, sprint planning, sprint review, and retrospective
• Coordinate with Domain Leads for Commercial and Supply Chain & Manufacturing as use-case sponsors for ERP-adjacent automations
• Maintain the ARIANE backlog documentation in Slite; keep stakeholders informed of delivery status

2. Hands-on Delivery: Lightweight Apps, Specs, and AI-Assisted Shipping

• Write functional specifications and user stories for each ARIANE use case; own the acceptance criteria and sign-off with the business sponsor
• Build and iterate lightweight AI-powered applications (prompt interfaces, simple data forms, reporting tools, internal dashboards) using LLMs and Claude Code as copilot
• Use n8n as the integration layer when the use case is event-driven or requires connecting multiple systems
• Write the technical handover spec when a use case requires the AI Full Stack Developer (three-tier app, custom agent, CI/CD pipeline)
• Maintain documentation for every shipped asset: architecture decision, guardrail confirmation points, rollback procedure

3. AI Governance and Guardrail Enforcement

• Own and maintain the guardrail register: document each ARIANE automation’s human-in-the-loop confirmation point and escalation path
• Enforce the read-and-propose guardrail without exception: no AI-triggered write to any production system without explicit human confirmation
• Monitor ARIANE automations in production; flag behavioural drift or out-of-scope actions to the CIO
• Evaluate new LLM capabilities, vendor changes, and model upgrades against the guardrail framework; recommend adoption or rejection with rationale
• Prepare and maintain AI governance documentation for NIS2 audit packs and corporate governance audit readiness

The profile sought

Education

• Desired: Degree in product management, business, computer science, or any field combined with strong product and AI practice
• Required: No mandatory certification; demonstrated AI product delivery experience is the true qualifier

Experience

• Minimum 3 years in software product management or AI product ownership
• Direct, hands-on experience building and shipping lightweight applications or AI-powered tools in a live production context
• Experience writing functional specs and user stories that feed a delivery team; comfort owning the full cycle from brief to validated production
• Exposure to industrial, regulated, or multi-site operational environments is a strong plus (CDMO, pharma, food manufacturing, or logistics)
• Proven ability to operate in a build-from-scratch context: no pre-existing playbook, no mature process to inherit

Technical skills

• LLM-assisted product delivery: using Claude Code or equivalent to design, build, iterate, and ship lightweight applications without a dedicated developer
• Agile/Scrum: backlog refinement, sprint ceremonies, product increment framing; cert