4 meilleures offres (devops engineer cloud devops) (à pourvoir)

Head of Engineering & Product Delivery – Pricing, Modelling & Accumulation
SCOR —Zürich, ZH
- Anglais
- Niveau Master
- Niveau Licence
22 h
Consultant Snowflake DBT
Talan —Genève, GE
- 100%
- Anglais
- SQL
- Python
Postuler rapidement
3 h
Senior System Architect ML & AI 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Anglais
- Niveau Master
- Niveau Licence
10 h
Pre-Sales Solution Architect – AI Infrastructure (remote in the EU)
Mirantis —Zürich, ZH
- 100%
- Télétravail
- Vente
- AWS
Postuler rapidement
13 h

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Consultant Snowflake DBT
Talan —Genève, GE
Optimiser les requêtes, la gestion des clostering keys, le suivi des coûts (credits consumption) et les performances sur Snowflake.
Postuler rapidement
3 h

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Head of Engineering & Product Delivery – Pricing, Modelling & Accumulation

SCOR -
Zürich, ZH

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Détails de l'emploi

Il y a 22 heures

Qualifications

Anglais
Niveau Master
Niveau Licence
Développement logiciel
Leadership

Description complète du poste

You will set the engineering vision and technical roadmap for the Pricing, Modelling & Accumulation P&C domain, shape delivery priorities with product and business counterparts, and lead the end-to-end delivery of integrated platforms that support critical P&C business capabilities.

The Head of Engineering & Product Delivery ensures that business priorities are translated into technically sound product and platform outcomes, that architecture and engineering decisions align with strategic goals, cross-team dependencies are actively managed, and that delivery results in a coherent, resilient and maintainable technology landscape.

You will work closely with business, product, architecture, data, AI, risk and engineering teams. Your role is to provide the technical leadership, product delivery discipline and cross-functional coordination needed to turn complex business objectives into scalable and reliable platforms that generate measurable value.

The challenge in this domain is not simply building features. It is leading engineering across multiple teams and technical components while preserving architectural integrity, product coherence, operational resilience, maintainability and business relevance.

This role is critical because the domain depends on strong engineering leadership, pragmatic architecture, data and model integration, technical dependency management, delivery discipline and continuous improvement across a complex P&C technology landscape.

Define and drive the engineering vision, technical strategy and roadmap for the Pricing, Modelling & Accumulation P&C domain in close partnership with product and business leadership.
Lead the end-to-end engineering delivery of integrated platforms, services, data flows and model execution capabilities that support critical P&C business outcomes.
Translate business priorities and product objectives into engineering roadmaps, delivery plans, technical designs and implementation approaches.
Ensure platforms evolve as one coherent product and technology landscape rather than a collection of disconnected applications, services or data flows.
Establish engineering governance, architecture guardrails, product delivery practices and execution disciplines that support predictable, scalable and high-quality outcomes.
Manage technical and delivery dependencies, risks, priorities and trade-offs across teams to ensure smooth and coordinated execution.
Provide senior leadership on solution design, architecture, engineering standards and key technology decisions.
Ensure strong alignment between data, models, business rules, APIs, integration patterns and business applications.
Partner closely with business, product, architecture, data, AI, risk and engineering teams to align outcomes, sequencing, trade-offs and execution.
Drive decision-making and resolve delivery challenges, ensuring progress against agreed objectives, timelines, quality standards and operational expectations.
Balance business value, user needs, technical feasibility, architectural integrity, operational resilience and long-term sustainability in engineering decisions.
Drive adoption of AI-enabled practices where they improve engineering productivity, platform capabilities, model operations and decision support.
Communicate technical direction, product delivery progress, risks, dependencies and trade-offs clearly to senior stakeholders.
Promote continuous improvement in engineering practices, product delivery, Agile ways of working, DevOps, quality engineering, observability and production operations.
Ensure delivered solutions generate measurable business value and strong product outcomes while remaining secure, reliable, maintainable and operationally efficient.
Provide leadership, coaching and line management for the Product team, including objective setting, performance development, talent management and capability building.
Build and maintain a high-performing engineering and product organization with a strong culture of accountability, collaboration, technical excellence, customer focus and risk awareness.

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Actuarial Science, Data Science, Business, Product Management, or equivalent relevant experience
Significant experience in software engineering, platform engineering, technical delivery and engineering leadership
Proven experience leading large engineering domains, including internal teams and external partners
Experience shaping technical roadmaps, delivery plans and product outcomes in partnership with product and business stakeholders
Strong understanding of modern software architecture, cloud platforms, APIs, integration patterns, data platforms, and model execution environments
Strong knowledge of software development best practices, Agile methodologies, DevOps principles, observability, production operations and engineering governance
Experience orchestrating technical and product delivery across multiple squads, applications, services and cross-functional teams while preserving architectural integrity
Experience with data-intensive, analytical, and modelling platforms, such as:
pricing and rating systems
actuarial, catastrophe, or probabilistic modelling platforms
exposure management and accumulation systems
portfolio analytics and decision-support platforms
Experience integrating data pipelines, analytical models, risk assumptions, business rules, and business applications
Experience driving modernization, platform simplification and engineering operating model improvements
Practical understanding of AI/LLM opportunities in engineering productivity, analytics, model operations and decision systems
Experience in P&C insurance, reinsurance, pricing, modelling, exposure management or regulated financial services is a strong advantage
Fluency in professional and technical English

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

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