Enterprise Architect

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.