Offre d'emploi Data Mesh Platform Manager

Key Responsibilities

Platform Build and Delivery (Core Responsibility)

1. Responsibilities

• Design and implement the Self-Service Data platform architecture

• Define platform capabilities (data products, pipelines, governance, observability, self-service access)

• Define and enforce technical standards and architecture patterns

• Ensure scalability, performance, and security

• Make hands-on technical decisions and solution validation

Expected Deliverables

• Architecture decision records (ADR)

• Reference architecture patterns and reusable templates

• Platform capability roadmap

• Platform technical standards

Cloud Architecture and Infrastructure

1. Responsibilities

• Drive the Design and operate cloud and hybrid architecture with the Group Data Architect

• Coordindate with the Group Data Delivery Team the  implementation on Amazon Web Services and Microsoft Azure

• Lead the Integration of  on-premise systems

• Lead the Implemention of  automation and infrastructure as code

• Ensure security and compliance requirements

Expected Deliverables

• Cloud architecture blueprint (with the help of the Group Data Architect)

• Security and access management framework

Delivery and Execution Management

Responsibilities

• Own platform delivery lifecycle

• Define backlog and prioritization process

• Manage releases and production deployment

• Track performance and reliability

• Manage risks and technical issues

Expected Deliverables

• Platform roadmap (short / mid / long term)

• Product backlog and prioritization framework

• Release plan and version management process

• Delivery tracking dashboards

• Platform SLA / reliability metrics

Deployment and Domain Adoption

Responsibilities

• Deploy platform across business domains

• Enable domain teams to build data products

• Deploy Data Mesh operating model

• Support onboarding and adoption

• Resolve operational adoption challenges

Expected Deliverables

• Domain onboarding framework and process

• Data product lifecycle guidelines

• Domain enablement playbooks

• Adoption and usage metrics

• Training materials and onboarding documentation

Product Management (Usage-Driven) & Continuous improvement

Responsibilities

• Capture user needs and platform requirements

• Define product vision and roadmap

• Measure usage and value delivery

• Improve developer and user experience

Expected Deliverables

• Product vision and value proposition

• Platform KPIs and adoption metrics

• User feedback loops and improvement backlog

• Platform enhancement roadmap

Documentation, Standardization & Governance

Responsibilities

• Document platform capabilities and processes

• Ensure compliance with group Federated Computational Data Governance

Expected Deliverables

• Platform documentation repository

• Technical standards and implementation guidelines

• Governance and compliance framework

• Best practice playbooks

Operational Communication and Executive Reporting

Responsibilities

• Communicate platform progress and impact

• Provide executive-level reporting

• Manage stakeholder alignment

Expected Deliverables

• Executive Project Dashboard

• Platform performance dashboards

• Steering committee presentations

• Decisions, Risks and issues tracking

Internal Promotion and Evangelization

Responsibilities

• Promote platform value across the organization

• Support internal adoption initiatives

• Build platform community

Expected Deliverables

• Internal platform communication materials

• Adoption strategy and rollout plan

• Platform demos and use case portfolio

Required Experience

• Minimum 15 years of experience in data platform, data engineering, or architecture

• Proven experience building and delivering production-grade data platforms

• Strong experience in hands-on technical delivery and implementation

• Experience in platform engineering or advanced data engineering

• Experience in large-scale enterprise or multi-entity environments

• Practical experience with Data Mesh mandatory.

Technical Skills

Architecture & Engineering

• Distributed data architecture

• Distributed systems design

• Infrastructure as code

• DevOps / DataOps / CI/CD practices

• Performance and scalability engineering

Cloud & Infrastructure

• Advanced expertise in AWS and Azure

• Hybrid and on-premise architectures

• Cloud security and governance

Data Platform

• Data products and data lifecycle management

• Data pipelines and orchestration

• Metadata and catalog management

• Data governance frameworks

• Data observability

Product & Delivery

• Product mindset applied to technical platforms

• Roadmap and backlog management

• Agile delivery methodologies

• Value-driven development

Critical Soft Skills

• Strong technical and operational leadership

• Execution and delivery mindset

• Ability to operate hands-on in complex environments

• Excellent cross-functional communication

• Strong ownership and accountability

• Problem-solving and pragmatic decision-making

• Ability to influence without direct authority

• Strategic thinking with operational focus

• Stakeholder management at executive and operational levels

Fluent English (mandatory — written and spoken)

Success Metrics

• Platform successfully delivered and operational in production

• Adoption across business domain

• Number and quality of deployed data products

• Platform reliability and performance

• User satisfaction and platform usage

• Reduced time-to-market for data use cases