Senior Assistant Vice President

Key Responsibilities (Roles & Responsibilities)

• Define and evolve the enterprise data architecture roadmap aligned to business goals and digital transformation programs.

• Own architecture standards for data platforms (lakehouse/warehouse), data integration, and data products including reference architectures, patterns, and reusable templates.

• Design end-to-end cloud data architectures across ADLS Gen2, Azure Synapse/Fabric Warehouse, Databricks/Spark, and streaming/real-time components as required.

• Establish and govern data modeling standards (conceptual/logical/physical), dimensional models (star/snowflake), semantic layer design, and performance-optimized data layers.

• Architect scalable ETL/ELT and orchestration frameworks using Azure Data Factory/Synapse Pipelines/Fabric Data Factory/Databricks with CI/CD, parameterization, and observability.

• Implement data governance and lineage and define metadata standards and stewardship workflows.

• Define data quality strategy: profiling, rules, controls, monitoring dashboards, and issue remediation process with measurable SLAs.

• Architect master data and reference data management patterns (canonical models, mapping, hierarchy management) and integration with source systems.

• Design and enforce security architecture: RBAC/ABAC patterns, data classification, encryption, key management, PII controls, and privacy-by-design.

• Drive platform reliability and cost efficiency: workload sizing, performance tuning, capacity planning, and FinOps-oriented optimizations.

• Partner with SI Partners to ensure data architecture supports high-performing Power BI/DWH semantic models, self-service analytics, and executive reporting.

• Involve in architecture reviews with internal teams and SI partners; mentor engineers/analysts and drive adoption of best practices.

• Engage with senior stakeholders (business, product, technology, risk/compliance) to translate requirements into architectural decisions and communicate risks/trade-offs.

• Stay current on emerging capabilities in Microsoft Fabric, Synapse, Databricks Lakehouse, and AI-assisted analytics (e.g., Copilot/agentic patterns) and drive modernization initiatives.

CXO & Stakeholder Engagement

• Build and maintain strong relationships with key stakeholders to align analytics strategy with business priorities.

• Act as a trusted advisor, translating complex data insights into actionable business recommendations.

• Ensure stakeholder buy-in for enterprise data initiatives and foster collaboration across functions