R&D Coordinator in Québec

Core Accountability

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.

• 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.
• 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.
• 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.
• 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.
• 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.
• 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

• 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

• 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 with AI-assisted software development.
• Clear, direct communication skills and the ability to align technical and non-technical stakeholders.