Hybrid Product Owner

at With Intelligence

• Job title: Product Owner
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: SQL, Tableau
• Location requirements: Hybrid, London, United Kingdom

About the role

• Product Owner responsible for delivering With Intelligence’s data automation team effectively. Collaborating across Product Strategy and Data Operations to achieve high-value outcomes in a hybrid role.

Responsibilities

• You will own and be accountable for the delivery of With Intelligence’s data automation team, ensuring consistent execution, clear alignment and effective performance across the team.
• Work closely with stakeholders across Product Strategy, Platform and Data Operations acting as the single source of truth for priorities and work intake for the team.
• Balance and prioritise competing business needs to ensure focus on the highest-value outcomes.
• Provide clear, timely, and accurate visibility into the status of initiatives, risks, and delivery timelines.
• Maintain a deep understanding of the team’s tooling and systems, using this knowledge to shape scope, priorities, and delivery decisions.

Requirements

• Writes clear, unambiguous requirements for automation workflows (acceptance criteria, edge cases, human-in-the-loop needs, escalation paths)
• Understands process flows deeply enough to challenge assumptions and validate scope
• Defines automation success metrics (accuracy, throughput, time saved, etc..)
• Maintains and actively uses technical debt registers, backlog hygiene and dependency tracking to assess true team status
• Identifies gaps and can reliably reproduce issues to support effective resolution before delivery risk emerges (e.g. missing logic, unmet dependencies, etc)
• Executes robust UAT to validate ACs end-to-end, systematically identifying defects and minimising the introduction of regressions or downstream bugs.
• Communicates clearly, consistently, and proactively with both technical and non-technical stakeholders
• **Accountability & Documentation**
• Owns backlog: prioritisation, clarity, readiness, alignment to outcomes.
• Produces and maintains high-quality documentation (problem statements, data definitions, assumptions, decisions, constraints).
• Ensures decisions are recorded and traceable, reducing rework and ambiguity
• Takes responsibility for missed expectations and course-corrects decisively.
• **Automation & AI Product knowledge**
• Understands automation system design well enough to guide technical discussions and validate implementation approaches
• Comfortable working with data to inform decisions (basic SQL, Tableau/Looker, operational metrics)
• Brings an automation-first, creative mindset by proactively identifying manual or repetitive data processes and reimagines them as scalable automated workflows using AI/LLMs, data science, and engineering best practices.
• Demonstrates strong understanding of modern automation practices, including:
• AI-assisted workflow design
• LLM prompt + evaluation patterns
• Human-in-the-loop review systems
• Workflow orchestration and monitoring
• Automation quality controls and fallbacks
• Experience working alongside engineering and data science teams delivering production automation systems

Benefits

• 24 days annual leave rising to 29 days
• Enhanced parental leave
• Medicash (Health Cash Plans)
• Wellness Days
• Flexible Fridays (Opportunity to finish early)
• Birthday day off
• Employee assistance program
• Travel loan scheme
• Charity days
• Breakfast provided
• Social Events throughout the year
• Hybrid Working