Technical Program Manager, GFCO Analytics

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.