Digital Marketing Manager

Cisco is a leading technology company focused on revolutionizing data and infrastructure in the AI era. They are seeking a Digital Marketing Manager to drive the Business Ready Data program, bridging business strategy and technical execution to transform marketing data into actionable insights.

Responsibilities:

• Design, build, and maintain trusted Business-Ready Data products that transform raw enterprise marketing data into governed, standardized, and consumable datasets
• Develop scalable data models, reusable transformation logic, business rules, and certified data assets that support operational processes, analytics, and AI
• Engineer and optimize scalable data pipelines using Snowflake, Fivetran, dbt, and related technologies
• Implement automated data quality controls, business rule validation, metadata management, lineage, schema monitoring, and certification processes to ensure trusted, reliable, and business-ready data
• Partner with business stakeholders to define business-ready data requirements, establish common business definitions, metadata standards, data dictionaries, and governance practices that improve consistency, usability, and enterprise trust in marketing data assets
• Collaborate with Marketing Operations, IT, Analytics Engineering, Product Owners, and business stakeholders to prioritize business-ready data initiatives, align on enterprise standards, and deliver governed data products that enable operational excellence, enterprise analytics, and AI capabilities

Requirements:

• 5 + years of experience in Data Engineering, Business Intelligence, Data Management, or a related data discipline, with demonstrated experience building and delivering enterprise data solutions
• Strong hands-on expertise in SQL, Snowflake and dbt with experience designing data models, developing scalable ELT/ETL pipelines, and transforming raw data into standardized, reliable, and consumable datasets
• Proficiency in Python and Git-based development practices, with experience automating data processes and developing reusable, scalable engineering solutions
• Demonstrated experience with data quality and data governance fundamentals, including business rules, validation, metadata, lineage, and controls required to deliver trusted data products
• Strong business and technical partnership skills, with demonstrated ability to translate business requirements into technical data solutions and collaborate effectively across business stakeholders, Data Engineering, Analytics, and IT
• Experience with Fivetran and modern cloud data architectures, including enterprise-scale data ingestion, transformation, and orchestration
• Experience developing governed or business-ready data products, including standardized business definitions, reusable transformation logic, certification, data dictionaries, metadata management, and automated data-quality monitoring
• Experience establishing or operationalizing data stewardship and governance practices across business and technical teams
• Experience developing data foundations that support enterprise analytics, executive reporting, AI/ML, or AI-powered applications
• Experience working with marketing, marketing operations, customer, or other complex enterprise data ecosystems
• Demonstrated ability to operate at the intersection of business strategy and technical execution, helping turn complex business needs into scalable, governed, and reusable data solutions