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Enterprise Architect (m/w/x)
Vollzeitnur vor OrtSenior
Genf
CACargill, Inc.
Data Strategy and Execution Lead - Trading Risk Management (TRM) (m/w/x)
VollzeitVor OrtSenior
Nejo KI-Zusammenfassung
Defining TRM data strategy and roadmap for Cargill's global trading operations. 10+ years in data strategy, architecture, and governance required. Career development opportunities, inclusive recruitment.
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Anforderungen
- 8 years relevant work experience
- 10+ years progressive experience in data strategy, information architecture, data products, governance, and execution
- Leadership experience in complex trading, commodities, financial-markets or risk-management environment
- Deep, hands-on engineering credibility on modern cloud data stack
- Architectural judgement for platform pattern selection
- Proven depth across data pipelines, distributed processing, data modeling, lineage, data quality, orchestration, and production
- Strong command of cloud-native and event-driven architectures
- Strong command of batch and streaming patterns, APIs, and data contracts
- Judgement for platform and cost trade-offs
- Familiarity with agent-oriented data access patterns
- Familiarity with tension between broad access and least-privilege controls
- Demonstrated understanding of front-to-back trading and risk-management processes
- Demonstrated understanding of decision workflows and data needs
- Experience in commodities or another asset-intensive trading environment
- Proven ability to translate business strategy into data capabilities
- Proven ability to translate business strategy into target-state architecture
- Proven ability to translate business strategy into roadmaps
- Proven ability to translate business strategy into investment priorities
- Proven ability to translate business strategy into measurable value
- Clear, influential leadership
- Ability to bring clarity to ambiguity
- Ability to challenge constructively
- Ability to inspire action across organizational boundaries
- Mobilizing capabilities across multiple teams
- Strong influencing and negotiation skills with stakeholders
- Balancing speed to market with enterprise standards
- Balancing speed to market with sustainable design
- Bachelor's degree in computer science, engineering, information systems, data management, or related field
- Equivalent practical experience
Aufgaben
- Define the TRM data strategy, target state, and priorities
- Translate trading and risk management ambitions into a roadmap
- Define investment choices, measurable outcomes, and an execution backlog
- Partner with product teams across the organization
- Evolve critical datasets into governed, high-quality data products
- Define data ownership, stewardship, quality standards, and lifecycle management
- Shape and steward the TRM information architecture
- Define data products, domain and semantic models, and metadata
- Establish lineage and AI-ready foundations
- Ensure architecture decisions support discoverability and reuse
- Partner with data functions, architecture, security, and governance teams
- Adopt common standards for data capture, storage, transformation, and access
- Define exceptions to meet distinctive TRM needs
- Serve as the technical authority for TRM data engineering
- Review and challenge platform, pipeline, modeling, and integration designs
- Guide engineers through complex trade-offs
- Ensure solutions are scalable, observable, resilient, and secure
- Provide leadership and guidance to product teams
- Convert requests into a transparent, prioritized backlog
- Build trusted relationships with trading, risk, operations, and technology leaders
- Understand decision workflows and identify data constraints
- Shape pragmatic data solutions
- Communicate complex data and architecture choices clearly
- Develop and coach high-performing data resources
- Clarify roles and ways of working across data functions
- Strengthen data-product and AI-readiness capabilities across TRM
Berufserfahrung
8 Jahre
Ausbildung
Bachelor-AbschlussODER
Master-Abschluss
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
cloud data stackdata pipelinesdistributed processingdata modelingdata lineagedata qualityorchestrationcloud-native architecturesevent-driven architecturesAPIsdata contracts
Benefits
Karriere- und Weiterentwicklung
- Outstanding career development opportunities
Lockere Unternehmenskultur
- Inclusive recruitment process
Sonstige Vorteile
- Accessible recruitment process
- Accommodations during recruitment process
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