B2B Adobe Journey Optimizer Lead: ABM & Data Architecture

Blue Acorn, LLC; United States; Remote; USD 125,000 - 175,000; Full time

Benefits offered by this job

Medical insurance

401(k) matching

Paid time off

Job summary

Blue Acorn iCi seeks an Adobe Journey Optimizer (AJO) B2B Lead to design and implement Buying Group frameworks within Adobe Experience Platform and AJO B2B Edition, defining attributes, building data models, and governing objects for ABM, engagement, and pipeline acceleration.

The role partners with Marketing Ops, Data Engineering, and analytics to translate requirements into scalable platform solutions, establish governance, and ensure data quality across datasets.

Qualifications

• 7+ years in MarTech, Marketing Operations, Customer Data Platforms, or B2B marketing tech.
• 3+ years hands-on with AJO, AEP, and AJO B2B Edition.
• Strong understanding of Buying Group management, ABM, customer data models, audience segmentation, and enterprise data governance.
• Experience designing Adobe XDM schemas, datasets, identity structures, and customer data relationships.
• Experience integrating Databricks or similar platforms with Adobe solutions.

Responsibilities

• Define Buying Group strategy and attribute framework across AJO B2B Edition and AEP.
• Design Buying Group Objects and membership logic linking individuals, accounts, and groups.
• Develop aggregation methods to transform person-level data to group-level insights.
• Create governance standards, rules, and documentation for Buying Group data management.
• Collaborate with marketing ops, data engineering, analytics, and business stakeholders to align measurements.

Job description

Blue Acorn iCi seeks an Adobe Journey Optimizer (AJO) B2B Lead to design and implement Buying Group frameworks within Adobe Experience Platform and AJO B2B Edition, defining attributes, building data models, and governing objects for ABM, engagement, and pipeline acceleration.

The role partners with Marketing Ops, Data Engineering, and analytics to translate requirements into scalable platform solutions, establish governance, and ensure data quality across datasets.