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Lead a team to modernize Allianz UK’s data platforms, migrating legacy systems to cloud-first environments like Databricks and embedding DataOps practices to drive data-driven decision-making across the organization.
Lead a team building and scaling data infrastructure and ML models that power a global comparison platform, turning business goals into measurable performance.
Leads a global data engineering team to modernize insurance data infrastructure using Microsoft, Databricks, and cloud warehousing, ensuring robust data management and analytics capabilities.
Lead a data engineering team to build a real-time cloud data platform for a mid-market financial services firm, enabling business insights and cross-departmental analytics.
Lead a team of data engineers to build and maintain Zoopla’s scalable data platform using Python, SQL, AWS, Redshift, Databricks, and Airflow.
Lead a data engineering team to build and scale a modern cloud-based data platform for analytics and AI in a fast-growing fintech.
Leads the data engineering and ML teams to build and scale the AI platform, defining technical strategy and delivery roadmaps for data infrastructure and model estate.
Lead a team to build and scale a modern data platform using AWS, Snowflake, Spark, Airflow, dbt, Python, and SQL for real-time mobility and fintech analytics.
Lead the architecture and engineering of a modern, cloud-native data platform for State Street’s investment management business, using Python, Spark, Snowflake/Databricks, and Apache Iceberg to build scalable analytics and governance capabilities.
Designs, builds, and maintains data pipelines and warehouses to support government analytics and decision-making using modern data engineering tools.
Leads the bank’s data engineering strategy, building scalable, secure, and compliant data infrastructure to support analytics and AI-driven innovation across the enterprise.
Builds and maintains Azure-based data pipelines and cloud infrastructure to ingest, transform, and deliver business-ready datasets for analytics and reporting.
Lead data governance, quality, and metadata for a financial-infrastructure platform, ensuring regulatory compliance and trusted data for AI initiatives.
Lead the bank’s enterprise data engineering vision, modernizing platforms like Databricks and Snowflake to power analytics and AI while ensuring regulatory compliance and scalable data architecture.
Leads enterprise-wide data governance and strategy for a global music company, ensuring accurate, compliant, and strategically leveraged data across music rights, royalties, fan engagement, and digital platforms. Oversees data-driven decision-making, AI readiness, and partnerships to drive innovation and monetization in the music industry.
Leads enterprise-wide data governance for Sandoz, defining standards, decision rights, and frameworks to ensure high-quality master, reference, transactional, and AI-ready datasets across business domains.
Leads data governance for Morgan Stanley’s Private Wealth Management, establishing frameworks, managing governance committees, and ensuring data quality/regulatory compliance across systems and stakeholders.
Lead a Mumbai-based legal operations team handling LP transfers and entity data governance, streamlining processes and mentoring staff while coordinating with global stakeholders.
Build and maintain a high-performance data platform for post-trade processing, ingesting market data and enabling AI-powered analytics for global banking markets.
Lead a team to design and build enterprise-scale data platforms and AI solutions for finance, including GenAI-driven natural language access, RAG, and agent-based workflows on Snowflake.
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