Product Owner
Role details
Job location
Tech stack
Job description
- 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
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Writes clear, unambiguous requirements for automation workflows (acceptance criteria, edge cases, human-in-the-loop needs, escalation paths)
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Understands process flows deeply enough to challenge assumptions and validate scope
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Defines automation success metrics (accuracy, throughput, time saved, etc..)
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Maintains and actively uses technical debt registers, backlog hygiene and dependency tracking to assess true team status
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Identifies gaps and can reliably reproduce issues to support effective resolution before delivery risk emerges (e.g. missing logic, unmet dependencies, etc)
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Executes robust UAT to validate ACs end-to-end, systematically identifying defects and minimising the introduction of regressions or downstream bugs.
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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
Requirements
Do you have experience in Tableau?