Responsibilities

• Marketing Strategy → Architecture Translation
• Partner with marketing, sales, and business leaders to understand strategic goals and customer experience objectives
• Translate business priorities into clearly defined marketing and sales capabilities
• Define future-state operating models that align teams around a unified customer approach
• Develop and maintain business architecture artifacts (capability maps, value streams, process flows)
• Identify gaps between current and future-state capabilities and recommend solutions
• Define how marketing and sales functions should operate in a modern ecosystem
• Define enterprise marketing data architecture and data flow strategies
• Guide customer identity resolution and Customer 360 frameworks
• Ensure marketing data is integrated and leveraged across multiple platforms and systems
• Translate business capabilities into outcome-driven requirements for delivery teams
• Provide architecture guidance while remaining platform-agnostic
• Validate that solutions align with business intent and long-term strategy
• Act as a strategic connector across marketing, data, IT, and program teams
• Facilitate decision-making by balancing business value, complexity, and speed
• Support governance with clear architectural principles and guardrails

Requirements

• ~5+ years of experience in enterprise data architecture, business architecture, or MarTech architecture
• Strong understanding of marketing and sales operating models
• Experience defining future-state capabilities and architecture (not just implementation)
• Experience with data ingestion strategies and customer identity resolution
• Ability to translate ambiguous business goals into structured architecture and requirements
• Strong communication skills with experience working across cross-functional teams

Preferred

• Experience with Customer Data Platforms (CDPs) and MarTech ecosystems
• Familiarity with tools such as Segment, Adobe Experience Platform, Salesforce CDP , or similar
• Experience in large-scale transformation or platform consolidation initiatives
• Exposure to modern data environments (Azure Databricks or similar is a plus)