Quality Centre of Excellence Leader

About this role

About Us:
insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data and transform the way finance and data teams operate. We empower leaders from over 32,000 organizations to make timely and intelligent decisions. Our comprehensive solutions span Financial Planning and Analysis (FP&A), Controllership, and Data and Analytics. We deliver finance teams the insights required to navigate any economic climate and drive greater financial intelligence, while increasing productivity, visibility, accuracy, and compliance. Learn more at insightsoftware.com.
Job Description:
We are looking for an accomplished engineering leader and testing expert who will establish and lead a Quality Center of Excellence (QCoE) to transform how ~700 engineers across insightsoftware approach automated testing and quality practices.
This is not a traditional QA management role. You will lead a small team of test automation experts who partner directly with product engineering teams — not to own their testing, but to diagnose quality gaps, teach sustainable testing practice, and build lasting capability. A critical gap we see across the organization is over-reliance on slow, brittle end-to-end tests and under-investment in the acceptance and contract-testing layers that should catch most regressions faster and more reliably. You will help teams build healthy test pyramids, achieve fast feedback loops, and reach high/elite DORA outcomes (elite deployment frequency, low change failure rates, and fast lead times).
You will operate as a program manager and strategic advisor: aggregating quality maturity signals across the portfolio, prioritizing where the QCoE engages based on risk, and reporting portfolio-level insights to engineering leadership so they can drive investment in the teams and practices that matter most. This role requires influence without authority, deep expertise in test automation architecture, and a commitment to building sustainable, healthy testing practices at scale. You will report directly to the VP of Engineering, giving you strategic visibility and the authority to prioritize QCoE engagement across the portfolio.
Your team will help engineering teams leverage AI-powered testing tools — intelligent test generation, test prioritization, self-healing test automation, and predictive quality analytics — as force multipliers. Teaching teams when and how to use these tools effectively, grounded in sound testing architecture, is part of the QCoE mission.
Responsibilities
Portfolio Assessment & Risk Management

• Define and maintain a quality maturity model/scorecard across all engineering teams, measuring test pyramid health (unit vs. acceptance vs. integration vs. E2E ratios), automation coverage, test reliability/flakiness, and alignment with DORA metrics.

• Conduct regular portfolio reviews to identify systemic quality risks, gaps, and anti-patterns — e.g., teams over-indexing on E2E tests, missing acceptance-layer testing, or carrying high technical debt in test infrastructure.

• Aggregate quality signals across the organization and translate technical findings into business risk language for engineering leadership; establish a regular reporting cadence (e.g., quarterly) to communicate quality maturity trends and engagement impact.

• Use maturity data and risk assessment to prioritize where the QCoE engages next — ensuring scarce coaching resources are allocated based on strategic impact and risk, not by whoever escalates loudest.

Test Pyramid & Test Architecture Coaching

• Partner directly with engineering teams to diagnose their current testing approach, identify pyramid imbalances, and co-design a healthier mix of unit, acceptance/contract, integration, and E2E tests.

• Build and teach reusable test automation patterns, frameworks, and 'golden path' templates that engineering teams adopt themselves — focusing on contract/consumer-driven testing (e.g., Pact), API/service-level testing, and right-sized functional test suites.

• Help teams reduce brittle, slow E2E test suites by building out acceptance and contract-testing layers that provide faster, more reliable feedback and reduce the need for end-to-end test coverage.

• Coach teams on test sustainability: identifying and remediating flaky tests, designing for test maintainability, and building test infrastructure that scales with the codebase.

DORA-Driven Engagement & Capability Building

• Work with Engineering Managers to identify gaps in DORA outcomes (deployment frequency, change failure rate, lead time, MTTR) and prescribe automation practice changes to improve them; make the connection explicit between test pyramid health and deployment velocity.

• Run hands-on enablement: bootcamps, office hours, embedded pairing sessions, and internal certification/maturity models for test automation practice that teams can self-assess against.

• Establish a test automation practice maturity model to benchmark teams' progress over time and celebrate wins; create a culture where excellent automation practice is the norm, not the exception.

AI-Enhanced Testing & Tool Evaluation

• Evaluate, pilot, and guide adoption of AI-powered testing tools and agentic solutions — including intelligent test generation, test prioritization, self-healing test automation, and predictive quality analytics.

• Coach teams on when and how to use AI-driven quality tooling effectively; establish guardrails so AI tools amplify good testing practices rather than substitute for sound test architecture.

• Stay current with emerging AI/agentic testing solutions and communicate opportunities and risks to leadership.

Leadership & Stakeholder Alignment

• Hire, manage, and mentor a small team of senior test automation engineers who bring deep expertise to coaching and technical problem-solving.

• Build and maintain a culture of speed, excellence, collaboration, mentorship, and…