The Challenge
Cypress HCM needs a technical expert to own data quality across their Customer Data Platform and Adobe Experience Platform. You'll be the first line of defense for a complex marketing ecosystem handling 35M+ profiles, preventing data degradation before it tanks campaign performance.
Your Mission
Establish daily monitoring protocols for AEP/Marketo dataflows; reduce incident response time from discovery to triage from 4+ hours to under 30 minutes
Document all current data quality baselines (profile counts, audience metrics, error patterns) and create automated alerts for anomalies
Own and resolve 100% of first-line data quality issues without escalation to leadership; track resolution rate weekly
Build 3-5 automated SQL queries or Alteryx workflows to catch recurring data validation issues before they impact downstream campaigns
Reduce critical data quality incidents by 60% through proactive monitoring and automation
Achieve 99.2%+ data delivery SLA across all CDP ingestion sources (Marketo, S3, enrichment vendors)
Deliver quarterly data quality health reports with actionable insights on data freshness, accuracy, and audience segment performance
Establish yourself as the technical POC for Adobe and vendor support; reduce average ticket resolution time by 40%
KPIs You'll Own
Profile Data Accuracy Rate
Percentage of profiles with valid, up-to-date attributes matching business segmentation requirements.
Dataflow Uptime
% of daily ingestion runs that complete successfully without failures across all sources (target: 99.2%+).
Mean Time to Resolution (MTTR)
Average hours from data issue detection to fix deployment.
Incident Prevention Rate
% of potential data quality issues caught by proactive monitoring before impacting campaigns.
Audience Segment Stability
Month-over-month variance in audience counts; flagged when variance exceeds 5-10% of baseline.
Tools & Stack
Your Team
Your Manager
Marketing Automation & Data Management Leadership
Current Team
Marketing Automation & Data Management team (exact size not specified)
New dedicated specialist role to fill expertise gap in data quality operations
The Package
Salary
$110K-$145K base
Remote
On-site (United States)
Benefits & Perks
Company Intelligence
Cypress HCM is an HR/Human Capital Management company managing enterprise marketing and customer data operations at significant scale. They operate a sophisticated CDP ecosystem with 35M+ profiles and 140+ audience segments driving marketing campaigns.
Is This Role For You?
- You've spent 4+ years building data quality infrastructure or owning CDP/marketing data systems at scale
- You're fluent in SQL, comfortable with Snowflake/Alteryx, and have hands-on experience with Adobe Experience Platform or similar CDPs
- You thrive on proactive problem-solving: you catch issues before they break production, not after campaigns fail
- You love being the technical expert in the room-vendor management, root cause analysis, and incident response energize you
- You prefer strategic/high-level work over hands-on technical execution; this role is 70%+ technical implementation and troubleshooting
- You lack real-world experience with CDPs, marketing automation platforms, or large-scale data pipeline operations
- You need remote flexibility; this is on-site only
Interview Process
Phone screen
Discuss CDP/AEP experience, data quality challenges you've owned, and incident response philosophy
Technical assessment
SQL/Alteryx coding challenge focused on data validation and anomaly detection scenarios
Platform deep-dive
Walk through AEP monitoring dashboard, discuss how you'd diagnose a Marketo ingestion failure
Stakeholder round
Meet with Marketing Automation & Data Management leadership; discuss data strategy priorities and team structure
Ready when you are
Interested in this role?
Apply now and hear back within days, not weeks.
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About Data & Analytics roles
Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.