Nihilent Technologies - Senior Data Strategy Consultant

About the Role : We are seeking an experienced and strategic Data Strategy Consultant with 13 - 15 years of experience to define, shape, and drive enterprise-wide data transformation initiatives. The successful candidate will bring deep expertise in data strategy, enterprise data architecture, modern data platforms, cloud transformation, business intelligence, and AI-driven business solutions. This role will serve as a strategic bridge between business leadership, data and enterprise architects, technology teams, and engineering organizations, translating business priorities into scalable, secure, and sustainable data and AI capabilities. What you will do : - Define and drive enterprise-wide data strategies aligned with business objectives, technology roadmaps, and organizational priorities. - Assess current-state data landscapes, identify gaps, and develop target-state data strategies and transformation roadmaps. - Establish principles, standards, frameworks, and governance models for enterprise data management. - Define strategies for data modernization, data democratization, analytics enablement, and AI adoption. - Develop business cases and value propositions for strategic data and AI investments. - Identify opportunities to improve data quality, accessibility, interoperability, security, and usability across the enterprise. - Define measurable outcomes and KPIs to track the business value and maturity of data transformation initiatives. Enterprise Data Architecture : - Define and govern enterprise data architecture across on-premise, cloud, and hybrid environments. - Design scalable and future-ready architectures covering data ingestion, integration, storage, processing, governance, analytics, and AI. - Develop reference architectures, architecture patterns, technology standards, and solution blueprints. - Evaluate existing data platforms and recommend modernization or consolidation strategies where appropriate. - Ensure architectural decisions support scalability, security, performance, resilience, cost optimization, and regulatory requirements. - Collaborate with enterprise, solution, security, and infrastructure architects to ensure alignment with broader technology architecture. Microsoft Data & AI Ecosystem : - Design and guide modern data and AI architectures leveraging the Microsoft ecosystem, including : - Microsoft Fabric - OneLake, Data Factory, Lakehouse, Warehouse, Real-Time Intelligence, and related capabilities. - Azure AI - AI services, machine learning, generative AI, and intelligent application capabilities. Requirements : - 13 - 15 years of overall experience in data, analytics, technology consulting, enterprise architecture, or related fields. - Proven experience leading enterprise data strategy and transformation programs. - Strong hands-on and strategic understanding of modern data platforms, cloud architecture, data integration, analytics, and AI. - Experience working with large, complex organizations and cross-functional technology teams. - Demonstrated experience engaging with senior business and technology stakeholders, including C-level executives.