Salman Habeeb

• Enterprise Data Strategy: Commanding the Data, Analytics, and AI function, steering strategy, governance, delivery, and roadmap execution across the
enterprise. AI & GenAI Transformation: Spearheading high-impact AI and GenAI initiatives, unlocking value across advanced analytics, forecasting, and decision
intelligence. Platform Oversight & Data Modernisation: Governing enterprise BI ecosystems, data frameworks, and large-scale transformation programmes to drive
scalability and performance. Business Alignment: Influencing executive stakeholders by translating strategic priorities into scalable data-driven and AI-powered solutions. Ecosystem Management: Negotiating and directing technology vendors and implementation partners to optimise cost efficiency and platform scalability.
• Capability Building: Cultivating future-ready capabilities through team upskilling, modern data architectures, and innovation-driven initiatives.

• Career Progression: Advanced from Lead Data Engineer to Practice Head, helming the end-to-end Data & Analytics practice.
• Organisation Building: Assembled and scaled a high-performance data organisation spanning BI, data engineering, and solution architecture.
• Enterprise Architecture: Architected and owned enterprise BI and ETL platforms, ensuring resilience, scalability, and high availability.
• Cloud Transformation: Orchestrated large-scale cloud migrations, transitioning legacy on-premise systems to Azure and Snowflake ecosystems.
• Data Governance: Instituted enterprise-wide data standards, governance models, and best practices to ensure consistency and compliance.
• Operational Excellence: Shaped organisational OKRs, delivery models, & performance frameworks, reinforcing execution excellence & business impact.

• BI Transformation & Programme Leadership: Spearheaded complex BI and data modernisation programmes across logistics and supply chain domains,
delivering resilient, enterprise-scale solutions.
• Cloud Data Architecture: Created Azure-based Data Lake and Lakehouse architectures, enabling unified, high-performance analytics environments.
• Platform Integration: Steered multi-platform migrations across Snowflake, IDMC, Kafka, Azure Data Factory, Power BI, and DevOps, ensuring seamless
integration and operational continuity.
• Data Engineering Frameworks & Scalability: Deployed scalable data ingestion, transformation, and analytics frameworks to support high-volume,
mission-critical workloads.
• Capability Expansion: Expanded the Data Chapter in India, elevating team capability through mentorship and adoption of next-generation technologies.

• Enterprise Data Warehousing: Executed enterprise-scale DWH and BI solutions for American Family Insurance, enabling robust and insight-driven
reporting capabilities.
• Data Integration: Devised & implemented ETL frameworks using Informatica PowerCenter, ensuring efficient & reliable data movement across systems.
• Data Modelling: Structured, optimised data models and pipelines to facilitate centralised, accurate, and high-performance reporting.
• Stakeholder Collaboration: Partnered with business & technology stakeholders to ensure delivery of scalable, compliant, and future-ready data solutions.

• Data Platforms Delivery: Executed multiple end-to-end DWH, BI, and MDM implementations for global clients, including UHG, Sanofi, Novartis, and
Amgen, ensuring robust and scalable data ecosystems.
• Solution Strategy: Advised senior leadership on solution architecture, delivery strategy, & stakeholder alignment to drive successful programme outcomes.
• Data Governance Enablement: Advanced data science and analytics initiatives, encompassing data profiling, trust scoring, and governance readiness.