Associate Director - Software & Application Development

Tata Communications; City of Melbourne; On-site; AUD 120,000 - 170,000; Full time

Job summary

Tata Communications is seeking an experienced Enterprise Data Architect in Melbourne to lead the design and governance of scalable data models and information architectures. You will collaborate with stakeholders across business and engineering to translate requirements into reliable data solutions.

Responsibilities include managing metadata, lineage, and master data, plus defining standards and documentation. The role emphasizes API-driven integration, data quality, and regulatory alignment.

Qualifications

• Extensive experience in enterprise data architecture, information management, and data modelling within large and complex organisations.
• Expertise in conceptual, logical, and physical data modelling techniques and methodologies.
• Strong understanding of data governance, metadata management, data lineage, and stewardship frameworks.
• Experience designing enterprise information architectures supporting operational, analytical, and reporting requirements.
• Proficiency in data integration architecture, API design concepts, and information exchange patterns.
• Strong knowledge of relational databases, data warehousing, and information lifecycle management principles.
• Experience facilitating stakeholder workshops, requirements analysis, and solution design activities.
• Excellent communication, documentation, and stakeholder management skills.
• Ability to translate complex technical concepts into business-focused recommendations and outcomes.

Responsibilities

• Collaborate with business stakeholders, architects, engineers, and product owners to define enterprise data architecture and information management strategies.
• Design and maintain conceptual, logical, and physical data models that support business, operational, analytical, and regulatory requirements.
• Develop and govern enterprise data models, standards, and information architectures across multiple platforms and domains.
• Lead data modelling reviews to ensure consistency, scalability, performance, and adherence to architectural standards.
• Define and manage metadata, data lineage, reference data, and master data management frameworks.
• Establish and maintain enterprise data governance processes, stewardship models, and data ownership structures.
• Design API-driven information services and integration patterns to enable secure and efficient data exchange between systems.
• Provide guidance on data quality management, information lifecycle management, and data integrity practices.
• Work closely with development and engineering teams to translate business requirements into scalable data solutions.
• Produce and maintain architecture artefacts, data dictionaries, modelling standards, and technical documentation.

Skills

Enterprise data architecture

Information management

Data modelling

Metadata management

Data governance

API design

Data integration

Stakeholder workshops

Communication

Job description

Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications

Primary Responsibilities:

• Collaborate with business stakeholders, architects, engineers, and product owners to define enterprise data architecture and information management strategies.


• Design and maintain conceptual, logical, and physical data models that support business, operational, analytical, and regulatory requirements.


• Develop and govern enterprise data models, standards, and information architectures across multiple platforms and domains.


• Lead data modelling reviews to ensure consistency, scalability, performance, and adherence to architectural standards.


• Define and manage metadata, data lineage, reference data, and master data management frameworks.


• Establish and maintain enterprise data governance processes, stewardship models, and data ownership structures.


• Design API-driven information services and integration patterns to enable secure and efficient data exchange between systems.


• Provide guidance on data quality management, information lifecycle management, and data integrity practices.


• Work closely with development and engineering teams to translate business requirements into scalable data solutions.


• Produce and maintain architecture artefacts, data dictionaries, modelling standards, and technical documentation.

Secondary Responsibilities:

• Support strategic planning activities through capability modelling, roadmap development, and future-state architecture definition.


• Assess and recommend improvements to information architecture, data management processes, and platform capabilities.


• Participate in architecture review boards, governance forums, and design authority activities.


• Provide expertise in data migration, transformation, and modernisation initiatives.


• Contribute to enterprise-wide data and information management policies, standards, and procedures.


• Support compliance, audit, privacy, security, and risk management requirements through effective information architecture practices.


• Mentor junior architects, analysts, data engineers, and modellers in data architecture and modelling disciplines.


• Collaborate with cross-functional teams to improve operational efficiency and business outcomes through data-driven solutions.

Required Skills and Qualifications:

• Extensive experience in enterprise data architecture, information management, and data modelling within large and complex organisations.


• Expertise in conceptual, logical, and physical data modelling techniques and methodologies.


• Strong understanding of data governance, metadata management, data lineage, and stewardship frameworks.


• Experience designing enterprise information architectures supporting operational, analytical, and reporting requirements.


• Proficiency in data integration architecture, API design concepts, and information exchange patterns.


• Strong knowledge of relational databases, data warehousing, and information lifecycle management principles.


• Experience facilitating stakeholder workshops, requirements analysis, and solution design activities.


• Excellent communication, documentation, and stakeholder management skills.


• Ability to translate complex technical concepts into business-focused recommendations and outcomes.

Preferred Skills:

• Experience in cyber security data domains, governance, and compliance reporting.


• Knowledge of telecommunications, network inventory, asset management, or operational support systems.


• Experience with enterprise architecture frameworks and capability modelling techniques.


• Familiarity with cloud-native data platforms, data engineering practices, and modern data ecosystems.


• Experience leading large-scale data transformation, modernisation, and information management initiatives.