Data Governance Consultant

Job description

**Req ID:** 380789 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Governance Consultant to join our team in Bangalore, Karnātaka (IN-KA), India (IN). **1. Objective** Establish a connected, enterprise-grade data catalog and governance framework to support Symphony data sources, enabling end-to-end data product development, discoverability, data quality, lineage, and AI-driven operations using Microsoft Fabric and Microsoft Purview. *** ** * ** *** **2. Scope of Work** **2.1 Data Catalog Development** * Scan and onboard prioritized Symphony data sources into **Microsoft Purview Data Catalog** * Curate catalog assets by: * Updating business definitions * Maintaining and extending the business glossary * Aligning metadata for both existing and new Symphony datasets *** ** * ** *** **2.2 Data Product Enablement** * Design and develop **end-to-end data products** for Symphony datasets * Build and manage data storage using **Microsoft Fabric (OneLake, Lakehouse/Warehouse)** * Publish **certified data products and associated metrics metadata** for front-end consumption * Ensure alignment with governance standards and domain ownership *** ** * ** *** **2.3 Data Modeling \& Semantic Layer** * Design and implement **data models and entity relationships** for catalog assets * Develop semantic models to support catalog output consumption * Standardize dimensions (e.g., Brand, Country) and metrics definitions *** ** * ** *** **2.4 Ontology \& Graph Enablement** * Leverage entity models to define **ontology structures** * Enable ontology within Fabric and build **relationship graphs** to support data quality use cases across Symphony data sources * Support connected insights through relationship-aware data modeling *** ** * ** *** **2.5 Data Quality \& Profiling** * Enable **data profiling** across Symphony datasets * Extend existing **Data Quality (DQ) framework** to cover new data sources * Publish DQ reports and dashboards * Implement **DQ data agents** for automated monitoring and issue detection *** ** * ** *** **2.6 Data Lineage \& Governance** * Enable **end-to-end data lineage** across all Symphony data sources * Ensure traceability from source to consumption layer * Implement governance policies including: * Data classification * Ownership and stewardship * Access controls and compliance alignment *** ** * ** *** **2.7 AI-Driven Capabilities** * Design and develop **AI agents** to support: * Data quality monitoring * Metadata curation and recommendations * Data discovery and query assistance * Leverage AI capabilities within Fabric and Purview to automate and enhance operations *** ** * ** *** **3. Deliverables** * Connected **Data Catalog** with curated metadata and glossary * Certified **Data Products** and published metrics * **Data Models and Semantic Layer** for Symphony datasets * **Ontology and Relationship Graphs** enabled * **Data Quality Framework Extension** with reports and AI agents * **Data Lineage Implementation** across all relevant pipelines * **AI Agents** supporting governance and operations *** ** * ** *** **4. Success Criteria** * All prioritized Symphony data sources are cataloged and governed * Certified data products are available for business consumption * Data quality coverage and monitoring are established at scale * End-to-end lineage and traceability are enabled * AI-driven capabilities improve productivity and data trust *** ** * ** *** **5. Timeline \& Phases (High-Level)** * **Phase 1:** Catalog onboarding and metadata curation * **Phase 2:** Data product development and semantic modeling * **Phase 3:** Data quality, lineage, and governance enablement * **Phase 4:** AI agent development and optimization *** ** * ** *** **6. Assumptions \& Dependencies** * Access to Symphony data sources and existing DQ framework * Availability of Microsoft Fabric and Purview environments * Alignment with domain stakeholders for definitions and ownership * Integration with existing enterprise data governance processes **++About NTT DATA++** NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R\&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. ***NTT DATA endeavors to make https://us.nttdata.com accessible