Fractional Martech Implementation Specialist

MAVAN Job Opening: Fractional MarTech Implementation Specialist

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MAVAN is hiring a hands-on, technical Fractional MarTech Implementation Specialist to support clients with end-to-end paid tracking, attribution, and unified reporting. This is a fractional/freelance role for an experienced implementer who can audit existing paid tracking, design and implement robust tracking solutions (web & mobile), build unified reporting and attribution layers, QA data quality, and hand off repeatable playbooks to client teams. You’ll partner with performance marketing, analytics, product, and engineering to remove measurement blindspots and create reliable, auditable data flows.

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What you’ll own

• Paid tracking audits: Audit client paid-tracking across channels (Google Ads, Meta, TikTok, LinkedIn, etc.), MMPs and server-side / client-side implementations to identify gaps, mismatches, and root causes of reporting discrepancies.
• Implement paid tracking: Implement and/or remediate tracking for paid channels — pixel/CAPI setup, GTM (web & server), GA4 event tagging, Firebase for mobile, SDK/MMP configuration (AppsFlyer/Adjust/Branch/Singular), and S2S integrations. Ensure events, values, and attribution parameters are passed correctly.
• Unified reporting & attribution layers: Design and build unified reporting — consolidate ad platforms, analytics, MMPs, CRM, and product analytics into a single attribution/reporting layer (e.g., BigQuery + Looker/Looker Studio/Looker Studio, Amplitude/GA4 pipelines). Recommend and implement attribution models, reconcile metrics, and document a single source of truth.
• Mobile attribution & privacy-aware measurement: Configure mobile attribution strategies and SKAN / postback setups for iOS/Android, map conversion values, and advise on privacy-forward measurement approaches.
• Instrumentation & data-layer design: Define an event taxonomy and data layer that supports paid, owned, and product analytics needs; produce event mapping documents for engineering and marketing.
• Data quality, QA & reconciliation: Build test plans, QA scripts, and monitoring to detect drift or data loss; reconcile cross-platform differences and implement alerts for metric regressions.
• Operationalization & handoff: Produce implementation playbooks, runbooks, and training for client teams; define SLAs and maintenance cadence for continued accuracy.
• Cross-functional leadership: Work with product engineering, analytics, and growth teams to scope, prioritize, and deliver fixes and enhancements. Provide clear SOWs, estimates, and status reports.

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Typical Deliverables

• Paid-tracking audit report with prioritized remediation roadmap and estimated effort.
• Implemented and QA-tested tagging (GTM client & server, GA4, pixels/CAPI, SDK/MMP).
• Unified reporting data model and dashboards (BigQuery / Looker Studio / Looker / Data Studio / Amplitude).
• Attribution configuration and reconciliation rules (ad platforms ↔ analytics ↔ MMPs ↔ CRM).
• Event taxonomy, data layer spec, and engineering-ready implementation plan.
• Monitoring & alerting for tracking health and periodic data reconciliations.
• Handoff documentation and training session(s).

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Required Qualifications

• 3+ years hands-on MarTech / analytics implementation experience, with a strong focus on paid-tracking and attribution across web and mobile.
• Deep experience with Google Tag Manager (web + server), GA4, Firebase, and ad platform tracking (Google Ads, Meta/Conversion API, TikTok, LinkedIn, etc.).
• Experience configuring and troubleshooting MMPs and mobile attribution (AppsFlyer, Adjust, Branch, Singular) and SKAN.
• Strong SQL skills and practical experience with data warehouses (BigQuery preferred) and BI tools (Looker / Looker Studio / Data Studio).
• Practical experience designing event taxonomies and data layers; comfortable producing engineering-ready specs.
• Solid understanding of measurement and attribution methodologies and how they interact with platform privacy changes (SKAN, ATT, Consent Mode, etc.).
• Excellent problem-solving, communication, and client-facing skills — able to produce clear audit findings, SOWs, and technical docs.
• Experience working in a fractional/agency model and managing multiple client priorities is highly desirable.