Quality Strategy/Transformation Lead (Commercial Banking)

Location: London, United Kingdom; work arrangement: hybrid/on-site

Company

Lab49, part of hirify.global, delivers software engineering and transformation solutions for complex client environments.

What you will do

• Define and drive the quality strategy, governance framework, and operating model for a large-scale commercial banking transformation programme.
• Align quality objectives with business priorities alongside senior client stakeholders, programme leadership, engineering teams, and delivery partners.
• Establish quality metrics, reporting frameworks, and governance processes for executive visibility into quality and delivery risk.
• Drive consistent quality engineering practices, standards, and controls across teams, vendors, and workstreams.
• Lead programme-level quality reviews, risk assessments, and readiness evaluations, recommending actions for key delivery decisions.
• Mentor quality leaders and promote continuous improvement and accountability across the programme.

Requirements

• 10+ years of experience in quality assurance, quality engineering, or quality leadership.
• Experience defining and implementing quality strategies, governance frameworks, operating models, or transformation initiatives in complex delivery environments.
• Programme-level leadership experience across large-scale transformation initiatives.
• Strong stakeholder management skills and experience influencing senior business and technology leaders.
• Experience with quality metrics, reporting, governance processes, risk management, and coordination across multiple delivery teams and vendors.
• Experience in banking, financial services, or another highly regulated environment, with a strong understanding of modern quality engineering principles.

Culture & Benefits

• Work on complex, meaningful problems with engineers, designers, and consultants.
• Gain exposure to different technologies, business domains, and client environments.
• Culture built around curiosity, judgment, ownership, quality, and continuous improvement.
• Artificial intelligence tools may support parts of the hiring process, while final decisions are made by humans.