Expertise in solutions that enable marketing analytics, audience segmentation, and experience optimization platforms.
Direct experience with segmentation and audience management platforms (CDPs, MarTech audience tools), clean room technologies, AI/ML-driven recommendation or personalization engines, and the Google Marketing Platform.
Working knowledge of Databricks or equivalent data lake house platforms — understanding how data is structured, queried, and made available for intelligence and activation use cases.
Understanding of Adobe Campaign, Adobe Target, and Adobe Analytics, or equivalent - understanding of how these platforms operate within the MarTech ecosystem and how modern AI-driven audience segmentation and insight capabilities integrate with and enable them.
Strong understanding of journey analytics, attribution modeling, and experience measurement and can define measurement strategies, not just report on them.
Proven solutioning ability. Can take business requirements and translate it end-to-end into platform capabilities, data flows, integration specs, and a delivery plan tied to measurable outcomes.
Thinks in business capabilities and can articulate why a platform investment matters in terms of what it enables (personalization, conversion, advisor enablement), not just what it does technically.
Agentic AI fluency to assess a current-state workflow and articulate how agentic approaches re-engineer it. This includes understanding of agent harness, emerging protocols – A2A, MCP, what governance is required, and how to sequence the transition.
Delivery-focused with proven track record of shipping intelligence platform capabilities through agile delivery. Understands cascading impact on downstream teams.
Strong cross-functional influencer who drives clarity and accountability across business, data, and technology stakeholders.