• Lead the integration of customer data across web analytics, CRM, marketing automation and related platforms • Architect and manage the migration from Adobe Analytics to CJA, ensuring seamless data flow and reporting • Collaborate with Adobe and team members to establish and improve our AEP foundation • Build a marketing attribution model using AEP and CJA insights • Guide communication between business and technical teams, translating requirements into data solutions • Help develop data engineering pipelines to transform and analyze marketing and customer data • Analyze web and marketing performance data to create applicable insights on customer behavior, campaign effectiveness, and conversion optimization • Provide guidance on best practices for data governance, privacy, and tagging architecture • Contribute to the creation of dashboards and reports using tools like Tableau, Power BI, and Alteryx

• Lead the integration of customer data across web analytics, CRM, marketing automation and related platforms. • Architect and manage the migration from Adobe Analytics to CJA, ensuring seamless data flow and reporting. • Collaborate with Adobe and team members to establish and improve our AEP foundation. • Build a marketing attribution model using AEP and CJA insights. • Guide communication between business and technical teams, translating requirements into data solutions. • Help develop data engineering pipelines to transform and analyze marketing and customer data. • Analyze web and marketing performance data to create applicable insights on customer behavior, campaign effectiveness, and conversion optimization. • Provide guidance on best practices for data governance, privacy, and tagging architecture. • Contribute to the creation of dashboards and reports using tools like Tableau, Power BI, and Alteryx.

• Ingest and process data from Salesforce, Dynamics 365 & Coupa, Workday, and external program/partner data • Build and maintain pipelines in Databricks, DBT, and Snowflake • Design simple, reusable data models • Implement data quality tests, documentation, and lineage in DBT • Ensure performance optimization, cost efficiency, and compliance with governance standards • Collaborate with Knowledge Management team to provide feature ready datasets.

• Drive the overall delivery and support of data and AI applications • Design and build net new and enhance existing tech stack • Develop and maintain applications to support analytics needs • Identify resource constraints, project risks, and development timelines • Collaborate with internal stakeholders and product teams to design and build data applications • Coach junior engineers and manage large-scale software initiatives • Build and manage relationships with supporting engineering teams