Enterprise Architect
Employment Type: Full-time
Salary Range: Highly competitive salary at industry & market rates + benefits
Location: Manchester, England, United Kingdom
About The Role:
As an Enterprise Architect, you will lead the development and implementation of robust information strategies to drive informed decision-making across various functions within the organization.
Responsibilities:
* Collaborate with business leaders to define and shape the organization's information strategy, ensuring the effective utilization of internal and external data assets to drive value creation.
* Evaluate the benefits and risks associated with information, utilizing cutting-edge tools and methodologies to establish an information-centric perspective.
* Develop future-state views of the information landscape to enhance agility and adaptability, leveraging business information models and other relevant frameworks.
* Work closely with data and analytics leaders, business stakeholders, and IT leadership to establish and maintain robust information governance processes and structures.
* Create and manage diverse business information models, including conceptual models, relational database designs, and message models, to support organizational objectives.
* Contribute to the definition of data classifications and zoning to enable proactive management of information assets and ensure compliance with regulatory requirements.
* Utilize architecture principles to align data and analytics initiatives with enterprise strategies and business outcomes effectively.
* Analyze data security requirements and collaborate with relevant stakeholders to implement measures to safeguard enterprise data assets.
* Support initiatives aimed at enhancing business performance through the implementation of enterprise information solutions such as master data management (MDM), metadata management, analytics, and data integration.
Qualifications:
* Extensive experience in IT with a focus on information system design and implementation.
* Demonstrated expertise in developing and implementing information solutions to address complex business challenges.
* Strong business acumen with excellent communication skills, able to effectively engage with executives, business stakeholders, and technical teams.
* Proficiency in data modeling and enterprise-level information classification.
* Familiarity with industry-standard information architecture frameworks, metamodels, taxonomies, and ontologies.
* Knowledge of data science concepts, master data management (MDM), business intelligence, and data warehouse design and implementation.
* Experience with distributed management and analytics in cloud and hybrid environments, along with an understanding of various data access and analytic approaches.
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