Business Architect

Job summary

Translate prioritized transformation initiatives into value analyses and decision-ready recommendations. Produce concrete business architecture deliverables, ideally modeled in Enterprise Architect, while accounting for organizational and strategic context.

Job details

A business architect with at least five years of practice in transformation programs, used to turning a prioritized initiative into a value analysis and a decision-ready recommendation. The resume shows concrete business architecture deliverables, ideally modelled in Enterprise Architect, along with an understanding of organizational and strategic context; experience in insurance or in data and AI puts the candidate at the top of the list. Requirements Required: Experience in business architecture and in transformation programs Strong conceptual and synthesis skills Ability to understand organizational context and corporate strategies Asset: Knowledge of the insurance domain and/or the data and AI domain

What you’ll do

Translate prioritized transformation initiatives into value analyses and decision-ready recommendations. Produce concrete business architecture deliverables, ideally modeled in Enterprise Architect, while accounting for organizational and strategic context.

Requirements

Candidates must have at least five years of experience in business architecture and transformation programs, along with strong conceptual and synthesis skills. They must be able to understand organizational context and corporate strategies; insurance or data and AI experience is an asset.

Listed skills

• Accounting · Preferred
• analysis · Preferred
• Organization · Preferred
• Attention to detail · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Business Architecture
• Transformation Programs
• Value Analysis
• Decision-Ready Recommendations
• Conceptual Thinking
• Synthesis
• Organizational Context Analysis
• Corporate Strategy
• Enterprise Architect
• Insurance
• Data
• Artificial Intelligence

Job areas

• Management & Leadership
• Consulting
• Technology
• Data & Analytics

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