R&D Coordinator

Core Accountability

Own the outcome, not only the activity. The R&D Coordinator is responsible for the coordinated performance of both teams and for the quality, predictability, and continuous improvement of their delivery system.
1. Lead two multidisciplinary teams end to end

- Direct and coordinate two R&D teams comprising developers, DBA, Scrum Master, and quality assurance professionals.

- Create one shared plan and clear accountability across analysis, development, testing, release readiness, and follow-up.

- Ensure work does not stall between functions and that ownership remains clear until the expected outcome is achieved.

- Balance delivery commitments, product health, technical needs, client impact, and team capacity.

2. Plan and deliver predictably

- Translate approved priorities into executable delivery plans with clear scope, sequencing, dependencies, risks, and ownership.

- Maintain realistic capacity plans for both teams and make trade-offs visible before commitments are made.

- Monitor progress, identify variance early, and lead corrective action when quality, scope, schedule, or capacity is at risk.

3. Own quality throughout the lifecycle

- Make quality a shared responsibility from requirements and design through development, validation, release, and production follow-up.

- Ensure appropriate test planning, defect triage, root-cause analysis, regression coverage, and release-readiness decisions.

- Promote documentation of defects, expected behaviour, technical decisions, and reusable test scenarios.

- Use recurring defects and production issues to drive systemic improvements in engineering and quality practices.

4. Lead people and build capability

- Set clear expectations and measurable objectives for team members and reinforce individual and collective accountability.

- Coach employees through regular feedback, development plans, and direct support when performance or role clarity needs improvement.

- Build collaboration across disciplines while maintaining high standards for ownership, quality, and execution.

5. Improve Abilis R&D operations

- Help standardize practical R&D processes, working agreements, documentation, and delivery controls across both teams.

- Define and monitor a concise set of indicators covering predictability, capacity, quality, flow, and product outcomes.

- Identify repeated delays, bottlenecks, rework, and manual handoffs, then lead corrective improvements.

- Support the adoption of AI-assisted tools where they create measurable value.

7. Collaborate across the business

- Work closely with Product Management and the directors to confirm priorities, scope, acceptance expectations, and roadmap alignment before execution.

- Coordinate with Operations, Support, Professional Services, DevOps, and other stakeholders on incidents, dependencies, release readiness, and client impact.

- Communicate risks, decisions, changes, and required actions in a direct and timely manner.

What Success Looks Like

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Clients are satisfied because commitments are delivered on time and with consistent quality.

- Both teams operate with clear priorities, ownership, capacity, and delivery commitments.

- Risks, blockers, dependencies, and quality concerns are identified early and acted on quickly.

- Releases are supported by clear readiness criteria, appropriate validation, and documented decisions.

- Team performance improves through measurable process changes, coaching, and stronger accountability.

- Stakeholders have a reliable and transparent view of progress, trade-offs, and expected outcomes.

Candidate Profile

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Proven leadership skills with the ability to manage multidisciplinary teams in a fast-paced, evolving environment.

- Strong expertise in project management, collaboration tools, and agile methodologies.

- Strong focus on quality, customer outcomes, operational excellence, and the continuous improvement of processes and ways of working.

- Experience wit