Bounteous

Consultant

• Lead analytics projects; collaborate effectively with team members
• Translate ambiguous client needs into structured analytics solutions using Adobe Analytics and Customer Journey Analytics
• Uncover insightful analysis, create dashboards and reporting in Adobe Analytics and CJA Workspace
• Report on Adobe Target experimentation and testing in Adobe Analytics and CJA, analyze user behavior to inform testing and optimization opportunities
• Provide and evangelize best-in-class documentation and enablement
• Conduct highly customized, hands-on training sessions
• Demonstrate a grasp of the fundamental importance of clean data to empower successful digital marketing initiatives, in support of larger business objectives
• Ensure client expectations are met and results are delivered
• Articulate complex ideas in a clear and concise manner, both in speech and writing; understand the audience and tailor messages accordingly
• Exemplify good consulting skills, diplomacy, and effective messaging, and mentor team members in the same vein; share expertise freely
• Adapt to a fast-paced work environment and have the ability to overcome technical and business challenges
• Demonstrate high intellectual bandwidth, as well an ability to prioritize and work on the right things at the right time
• Volunteer suggestions for team improvement and take the time to help push initiatives forward
• Actively contribute to the greater community by participating in meet-ups, conferences, blogs, open forums, or open-source initiatives

Lead Analytics Consultant – CJA

Data Engineer

• Pipeline Migration
• Logic & Scheduling: Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment.
• Data Transfer: Executing the physical migration of underlying datasets while ensuring data integrity.
• Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "handoff and sign-off" conversations with data owners to ensure migrated assets meet business requirements
• Consumption Pattern Migration
• Code Conversion: Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg.
• Usage analysis: Understand usage patterns to deliver the required data products.
• Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating "handoff and sign-off" conversations with data owners to ensure migrated assets meet business requirements.
• Data Reconciliation & Quality: A rigorous approach to data validation is required. Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows.

Product Manager

• Own and manage the product backlog for AI-powered SMS and Email Marketing features
• Translate product strategy into clear epics, user stories, and acceptance criteria
• Lead sprint planning, backlog refinement, and release execution with Engineering
• Partner with Data Science to operationalize AI/ML-driven personalization and optimization
• Own the React.js front-end experience, ensuring usability, performance, and scalability
• Drive experimentation (A/B testing) to improve engagement, conversion, and revenue
• Collaborate with cross-functional stakeholders and mentor junior Product Owners

Senior Product Owner

• Lead project teams; collaborate effectively with team members
• Strategize and implement Adobe Analytics and Customer Journey Analytics together with Architects and Engineers
• Provide and evangelize best-in-class documentation and enablement
• Conduct highly customized, hands-on training sessions
• Demonstrate a grasp of the fundamental importance of clean data to empower successful digital marketing initiatives, in support of larger business objectives
• Ensure client expectations are met and results are delivered
• Articulate complex ideas in a clear and concise manner, both in speech and writing; understand the audience and tailor messages accordingly
• Exemplify good consulting skills, diplomacy, and effective messaging, and mentor team members in the same vein; share expertise freely
• Adapt to a fast-paced work environment and have the ability to overcome technical and business challenges
• Demonstrate high intellectual bandwidth, as well as an ability to prioritize and work on the right things at the right time
• Volunteer suggestions for team improvement and take the time to help push initiatives forward
• Actively contribute to the greater community by participating in meet-ups, conferences, blogs, open forums, or open-source initiatives

Lead Analytics Consultant – CJA

Data Engineer

Senior Product Owner

Lead Analytics Consultant, Contract