e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ More ❯
management is applied across domains, including defining metrics, monitoring processes, and remediating issues. Ensure compliance with relevant regulations and internal policies, such as GDPR, CCPA, or industry-specific standards. Data Asset Delivery Drive the development and maintenance of core data assets within the domain (e.g., master data, transactional data, reference … data). Partner with data engineering teams to implement scalable data solutions. Stakeholder Management Act as the primary point of contact for data-related matters within the domain. Work closely with functional leaders, business analysts, and other domain managers to understand requirements and translate them into actionable plans. Ensure More ❯
to improve user experience. Establish AI governance frameworks to align with Responsible AI practices and ensure compliance with data privacy laws (e.g., GDPR, CCPA). Drive adoption of GenAI-powered tools for self-service automation, analytics, and search capabilities, while providing leadership and mentorship to AI and engineering teams. More ❯
