CRM Automation & Data Manager
Posted 17 Jul 2026
Advertised as “Senior CRM Automation & Data Manager (all genders)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3–5 yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Your role
We are a high-velocity DTC brand running a highly sophisticated, data-driven CRM ecosystem (50+ automated lanes, custom scoring, multi-channel tracking). We are moving fast toward Agentic CRM.
We need a technical powerhouse to build the orchestration layer that translates our data science, scoring models, and customer signaling deviations into automated, multi-channel journeys. This is a 100% hands-on role at the intersection of Data Engineering, MarTech Architecture, and Automation. No pure strategists, no ticket-delegators - you code, connect systems, and execute.
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Model-to-Journey Orchestration: Act as the core bridge between data science and marketing. Take our custom models (churn, affinity, value scoring) and wire them directly into real-time lifecycle journeys across Email, App/Push, Direct Mail, and Paid Channels.
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AI & Workflow Automation: Build custom automated pipelines using n8n and advanced LLMs (Claude, Gemini) to eliminate manual campaign ops, automate trigger handling, and scale execution.
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Data Integration & MarTech Pipelines: Own the data pipes flowing into and out of our MarTech stack (with Bloomreach as our primary customer data engine, alongside Meta/Google streaming). Map custom attributes, manage event-tracking, and ensure flawless data ingestion.
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Data Engineering & Deep Dives: Write advanced SQL/Python scripts to clean fragmented data sources, build automated reporting structures (Tableau/Looker), and analyze data to proactively spot lifecycle opportunities.
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Technical Strategy & Testing: Partner with commercial teams to design automated testing roadmaps. You own the technical setup, execution, and statistical validation of all CRM experiments.
Your profile
Must-Haves (The Core Engine):
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Experience: 3-5 years of hands-on experience at the intersection of Data Automation, MarTech Architecture, or Analytics Engineering (ideally in E-Com/DTC).
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Hard Skills: Strong SQL and Python coding skills specifically for data pipeline engineering, API integrations, and workflow automation.
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Middleware & AI Integration: Proven experience building API integrations and middleware workflows (via , Make, or custom scripts) utilizing Generative AI models.