Job description

Are you a Senior Enterprise Data Architect skilled with AI and disruptive technologies?

Do you excel in understanding business strategy and building solutions to achieve business goals?

emagine is looking for your skills to design enterprise data architecture (EDA) to facilitate flexible sharing and exchange of enterprise data and enable AI-driven decision making.

Key Skills:

Senior Enterprise Data Architect, experienced working in large complex international environments
Strong knowledge and focus on Business domain, data/content and process understanding
Effective conceptualization, pattern recognition and teaming skills
Data modeling and information classification expertise at enterprise level
Understanding of metamodels, taxonomies and ontologies, and the challenges of applying structured techniques to less-structured sources
Familiarity with MDM, BI and data warehouse development techniques
Knowledge of problem analysis, structured analysis and design, and programming techniques
Ability to assess rapidly changing technologies and apply them to business needs
Strong communication and persuasion skills, including the ability to create marketing and messaging materials for stakeholders
Ability to analyze project, program and portfolio needs, and how to address those needs
Ability to balance short-term results with long-term needs and to offer incremental approaches to achieve strategic objectives

Key Tasks:

Enterprise Data Architecture

Lead the development of the requirements, principles and models for the future-state EDA
Documentation of the current-state data architecture
Identify, analyse gaps and develop plans with enterprise architect team to achieve the future state
Ensure quality, security, stability and agility of the EDA to meet evolving business needs
Establish the uniform and consistent identifiers, formats and protocols necessary for sharing and exchanging enterprise data (including structured and unstructured sources).
Champion efforts to improve business performance through EDA solutions and capabilities
Oversee the implementation of EDA through the organization's project portfolio
Facilitate the development of a corporate data policy or data management strategy
Participate in efforts to redesign or modify the EDA as part of, or in coordination with, business improvement initiatives.
Identify opportunities to generate revenue or improve business performance
Monitor regulatory guidelines, compliance-related guidance and emerging industry standards

Enterprise Artificial Intelligence Architecture

Lead the development of requirements, principles and strategy for the future-state AI Architecture
Documentation of the current-state.
Collaborate with data scientists and other AI professionals to identify and pilot use cases.
Verify the feasibility of use cases and architectural design with business teams
Translate the vision of business leaders into realistic technical implementation
Align technical implementation with existing and future requirements
Play a key role in defining the AI architecture and selecting appropriate
Work closely with security and risk leaders to foresee and mitigate risks
Facilitate innovation - Collect, Analyse and Review Innovations, Trends, Disruptions
Assess disruptive forces affecting the organization and identify technology-enabled innovation opportunities
Run pilots to create new products and services and integrate into operations for the organization.

For full project details please apply with your latest CV or call Brendan with your questions.

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