Engineering Lead – Core Shared Referentials and Technology Services

The role retains hands-on accountability for technical leadership, solution architecture, engineering practices, and delivery quality. It also carries managerial responsibility for purely technology products across shared technology products, including coaching, capability development, and engineering capacity planning in partnership with the Delivery Lead, who drives delivery coordination and functional and business priorities.

The position operates in a highly transversal environment, working closely with business domain CTOs (P&C, L&H, Finance), product and service owners, and AI, Data, Analytics, cloud, platform, and enterprise architecture teams to promote shared service reuse, data-driven architecture, and AI-first engineering practices across the portfolio.

The services delivered will be designed as enterprise-wide capabilities, consumed across multiple business domains including P&C, L&H, and Finance, requiring strong alignment and collaboration across the organization.

Key duties and responsibilities

Co-lead the shared technology product portfolio with the Delivery Lead, aligning product priorities, engineering roadmaps, dependencies, and delivery capacity.

Own the engineering dimension across Shared Referential Services, Client Intelligence, SAIL, the Document Management System, and Automation and Low Code, including solution architecture, development practices, and delivery quality.

Lead hands-on engineering activities, ensuring robust, scalable, and maintainable implementations.

Drive the transformation of Shared Referential Services and Client Intelligence into modular, domain-aligned, reusable services, while guiding the technical evolution of the wider portfolio.

Promote data-driven and AI-first architecture principles, in collaboration with AI and Data teams.

Define and execute phased retirement and migration plans for selected legacy products and technologies, including RPA and Talend; map dependencies, migrate affected consumers and workflows, and validate readiness before decommissioning.

Manage coexistence, cutover, and rollback approaches to maintain business continuity and control operational risk throughout transformation and retirement.

Ensure that developed services are scalable, resilient, and reusable across domains.

Oversee engineering quality and operational readiness across integration, document management, referential, client intelligence, automation, and low-code services, addressing security, observability, maintainability, and technical debt.

Collaborate with cloud, platform, DevOps, and enterprise architecture teams to ensure alignment with SCOR standards and target architecture.

Act as the primary technical counterpart to the Delivery Lead, translating product and business needs into engineering solutions and making technical trade-offs and cross-product dependencies explicit.

Manage, lead, and mentor engineering teams across shared technology products, building capabilities and fostering technical excellence, accountability, and continuous improvement; align engineering capacity and skills with portfolio priorities alongside the Delivery Lead.

Technical

• Proven experience modernizing legacy systems and shared services, including decomposition into modular or distributed architectures and the controlled retirement of legacy products and technologies.[AN3][BA4]
• Experience drafting solutions applying agentic SDLC.
• Product innovative, with experience in building AI augmented business services or tech operations

Strong Engineering Background (10+)

• Strong expertise in distributed systems, API design, and integration patterns
• Hands-on experience with cloud-native platforms (Azure preferred) and modern engineering practices
• Mastering of data-driven architectures and collaboration with Data / Analytics teams
• Proven experience of AI-assisted or agentic development approach.

Delivery & Transformation

• Proven track record delivering complex transformations across a multi-product shared services portfolio.
• Experience defining and executing migration, coexistence, cutover, and decommissioning strategies for business-critical services, including legacy integration and automation technologies such as Talend and RPA.
• Ability to manage dependencies across multiple systems and domains.

Enterprise & Collaboration

• Experience working in large-scale, multi-domain environments
• Ability to collaborate effectively with business, domain, and transversal teams
• Experience partnering with a Delivery Lead in a dual leadership model across shared technology products, with clear separation of engineering and delivery accountabilities.

Leadership & Soft Skills

• Strong hands-on engineering leadership and people management experience, including coaching, capability development, and capacity planning across multiple products.
• Excellent analytical and problem-solving skills
• Strong communication and stakeholder management capabilities
• Ability to operate in business-critical and high-impact environments

Required Education

Degree in Computer Science, Management of Information Systems, or a related analytical field; or equivalent experience.