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Associate Director - Software & Application Development
Tata Communications
About the role
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.
Required Skills
- api development
- data architecture
- data governance
- data warehousing
- data modelling
- cyber security
- network inventory
- asset management
- operational support systems
- telecommunications
