IT Enterprise Information Architect

IT Enterprise Information Architect

Employment Type: Fulltime

Salary Range: Highly competitive salary at industry & market rates benefits

Location: London United Kingdom

About The Role:

As a Senior Information Architect you will play a pivotal role in deciphering data and analytics requirements to drive informed decisionmaking across all functions.

What You Will Do:

• Collaborate with business unit leaders to shape the organizations information strategy fostering value creation through effective utilization of internal data assets and external data ecosystems.
• Evaluate the benefits and risks associated with information utilizing tools like business capability models to establish an informationcentric perspective.
• Develop futurestate views of the information landscape leveraging tools such as business information models to ensure agility and adaptability.
• Assist in establishing robust information governance processes and structures in collaboration with data and analytics leaders business and IT leadership.
• Create and manage various forms of business information models including conceptual models relational database designs and message models.
• Contribute to the definition of data classifications and zoning to facilitate proactive management of information assets.
• Utilize architecture as a strategic lens to align data and analytic initiatives with enterprise strategies and business outcomes.
• Analyze data and analytics security requirements collaborating with the Chief Information Security Officer (CISO) to safeguard enterprise data assets.
• Support efforts to enhance business performance through enterprise information solutions such as master data management (MDM) metadata management analytics and data integration.

Who You Are:

• Extensive IT experience with a strong background in information system design.
• Proven track record in designing and implementing information solutions.
• Business savvy with excellent communication skills to engage executives business stakeholders and technical teams.
• Expertise in data modeling and enterpriselevel information classification.
• Familiarity with common information architecture frameworks metamodels taxonomies and ontologies.
• Knowledge of data science concepts 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.

Remote Work :

No