Technical Program Manager, GFCO Analytics

About the role

In this position, you will lead the GFCO Analytics Engineering team, overseeing the development of data models, metrics, and dashboards that support key operational areas at Coinbase. Your responsibilities will include managing the roadmap and ensuring timely execution of projects while collaborating with various stakeholders.

The work environment is remote-first, with quarterly in-person sessions for intense collaboration. Success in this role requires balancing stakeholder needs with engineering capacity and regulatory requirements, while also implementing process improvements to enhance team efficiency.

The salary range for this position is between $148,835 and $175,100, depending on various factors.

Skills that matter here

• data engineering: You will need to understand data engineering principles to effectively manage projects and collaborate with engineering teams.
• analytics: Your role will focus on delivering analytics solutions that drive insights for Customer Experience and Compliance.
• Snowflake: Familiarity with Snowflake is essential for managing data storage and processing.
• Airflow: You will utilize Airflow for orchestrating complex data workflows.
• Looker: Experience with Looker will help in developing dashboards for data visualization.
• AI tooling: You will leverage AI tools to improve workflow efficiency and reporting processes.

Who this role suits

• You have a strong background in technical program management with a focus on data-related projects.
• You thrive in fast-paced environments and are comfortable managing multiple priorities.
• You have experience working with cross-functional teams and can navigate complex stakeholder dynamics.
• You are proactive in seeking process improvements and leveraging technology to enhance team productivity.

From the employer

What You'll Do

• 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.

Required Skills and Experience

• 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)). Annual base salary range (excluding equity and bonus): $148,835—$175,100 USD.
• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
• Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
• US Applicants: View [Employee Rights](https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf), [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf), and [E-Verify](https://static-assets.coinbase.com/e-verify.pdf) Notice of Participation.
• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? [Click here](https://chromewebstore.google.com/detail/screen-reader/kgejglhpjiefppelpmljglcjbhoiplfn) to download a free compatible screen reader and view the [tutorial](http://www.chromevox.com/tutorial/).
• Data Privacy & Arbitration: By submitting your application, you agree to our [Candidate Privacy Notice](https://www.coinbase.com/legal/applicant_privacy_notice). US applicants: By submitting your application, you agree to [Arbitration of Disputes](https://www.coinbase.com/legal/application-arbitration-agreement).
• AI Disclosure: Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants.