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# Technical Program Manager, GFCO Analytics

- **Company:** Coinbase, Inc.
- **Location:** Little Rock, AR, United States
- **Experience:** Experienced
- **Salary:** $148,835.0 - $175,100.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Software Documentation, Information Engineering, Data Governance, Data Infrastructure, Data Sharing, Snowflake, Looker Analytics, Data Pipelines
- **Published:** August 8, 2026
- **Apply:** https://dejobs.org/x/x/607563591B194E9692CD7BFB6BFAF432/job/

## About the Role

* 7+ years of experience in technical program management, with at least 3 years supporting data engineering, analytics, or data platform teams in a regulated environment (fintech, financial services, or crypto)
 * Proven track record owning and prioritizing a technical roadmap across multiple concurrent workstreams, balancing competing stakeholder needs with engineering capacity and regulatory requirements
 * Fluency with modern data stack components (e.g., Snowflake, Airflow, Looker/Superset, dbt) and the ability to engage technically on data modeling, pipeline architecture, and data quality frameworks
 * Demonstrated ability to create operational leverage through process automation, tooling improvements, and structured program management that frees engineering teams to focus on high-value delivery
 * Experience driving alignment across 10+ cross-functional stakeholders (Operations, Compliance, Risk, Product, Engineering) where ownership is distributed and trade-offs must be actively managed
 * Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

*Pay Transparency Notice:** *Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

## Description

* Own the CX Analytics Engineering roadmap, distilling requests from Operations, Compliance, Risk, WFM, BizOps, and Product teams into a prioritized backlog scoped by impact, regulatory urgency, and team capacity
 * Drive program execution across data model builds, pipeline development, dashboard delivery, and regulatory reporting workstreams, holding the team accountable to timelines and quality standards
 * Build and automate project management processes, reducing operational overhead so analytics engineers spend more time building data products and less time on coordination
 * Partner with CX Operations leadership, Compliance, and Data/Platform Engineering to resolve pipeline dependencies, align on shared data models, and ensure regulatory reporting accuracy
 * Implement testing, monitoring, and documentation standards (data contracts, alerting, quality checks) that reduce ad-hoc firefighting and build stakeholder trust in CX data products
 * Leverage AI-assisted workflows and tooling to compress speed-to-insight, automate reporting, and scale the team's impact without growing headcount linearly with business complexity


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