职位描述：
Job description
Create and maintain As-Is and To-Be strategies and system landscapes
Lead and collaborate with peer architects to recommend domain-level convergence strategy & target architecture that supports Bill of IT goals
Provide thought leadership and innovation in the planning, design, and creation of domain architecture constructs (e.g. reference architectures), and deliverables (e.g. standardized work, common initiatives)
Provide architectural costs, benefits, and risk management (including operations, security)
Define and develop architecture solutions
Communicate strategic vision and detailed architecture representations
Work with the Enterprise Data Architect to develop a domain-level Data Management Program
Develop, socialize, and publish architectural deliverables (As-Is & To-Be environment strategies, system landscapes, application connectivity methods and frameworks, decomposition diagrams)
Support the release team by reviewing global Block-point releases and advising of negative impacts based on the architectural roadmap
Document standards for common data objects, and data formats
Participate in reviews of technical/product evaluations
Provide coaching, mentoring, and guidance to project teams (e.g. review checklists, architecture starter kit collateral, integration requirements, tradeoff analysis)
Author change requests for new standards, and deviations from standards
Provide cost benefit and risk management as required.
Qualifications
Recognized expert in Enterprise Architecture development and management
Proven track record IT management or IT consulting with experience in financial services and/or insurance industries
Proven experience in examining and re-engineering business and IT processes, formulating policy, and developing and implementing new strategies
Advanced verbal and written communication skills
Excellent facilitation, negotiation, and consensus building skills
Communicate effectively with a wide variety of people including senior management
Knowledge of project management principles, practices, techniques, and tools
Experience working on a geographically dispersed team
Strong interpersonal and relationship management skills
Expert knowledge of data integration design principles in a complex computing environment
Demonstrated ability to build consensus and promote standards, and design principles to project teams
Expert technology research and analysis
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