Associate Director - Software & Application Development

Tata Communication; City of Melbourne; On-site; AUD 180,000 - 260,000; Full time

Job summary

Tata Communications is seeking an Associate Director - Software & Application Development in Melbourne to lead enterprise data architecture and information management initiatives. You will shape data models and governance across platforms, directing teams to deliver scalable data solutions that meet regulatory and business needs.

You will collaborate with stakeholders, architects, and engineers to translate requirements into robust data architectures, maintain data dictionaries, and produce

Qualifications

• Experience in enterprise data architecture and data modelling within large organisations.
• Expertise in data governance, metadata management, and stewardship frameworks.
• Ability to design and manage data models across multiple platforms and domains.

Responsibilities

• Collaborate with stakeholders to define enterprise data architecture and information management strategies.
• Design and maintain conceptual, logical, and physical data models for business and regulatory needs.
• Develop and govern enterprise data models and information architectures across platforms.
• Lead data modelling reviews to ensure consistency, scalability, and performance.
• Define and manage metadata, data lineage, reference data, and master data frameworks.
• Establish enterprise data governance processes and data ownership structures.
• Design API-driven information services to enable secure data exchange between systems.
• Provide guidance on data quality, lifecycle management, and data integrity.
• Translate business requirements into scalable data solutions with development teams.
• Produce architecture artefacts, data dictionaries, modelling standards, and docs.

Skills

Enterprise data architecture

Data modelling

Data governance

API design

Relational databases

Tools

SQL

Job description

Associate Director - Software & Application Development

• 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.

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.

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