Commercial Leadership Training Director responsible for leadership development programs at Pfizer. Overseeing curriculum design and delivery with a focus on sales leadership training.
About the role
- Own analytics strategy and insights for global payments performance, including success rates, cost per transaction, partner performance, and operational efficiency.
- Lead data-driven experimentation and optimization efforts related to payment method selection, routing, retry strategies, and settlement flows.
- Develop dashboards and frameworks to track KPIs, support product and finance decisions, and monitor trends across markets.
- Build and deploy models that inform routing, retry logic, and payment prioritization based on factors such as cost, speed, method availability, and past performance.
- Design decisioning frameworks that use transaction-level intelligence to optimize throughput and customer outcomes.
- Partner with Product and Engineering (and Chief Data Officer function) to integrate models and business rules into real-time decisioning infrastructure.
- Define the data architecture and requirements to enable comprehensive, accurate, and scalable payments data pipelines.
- Work with Data Engineering to ensure high-quality structured datasets that power both real-time and offline analytics.
- Establish a unified data model across payment types (cards, bank transfers, wallets, etc.) and regions.
- Act as the primary data science partner to the Payments Product team, contributing to roadmap planning and product strategy.
- Collaborate with Engineering, Operations, Finance, and Partner Management to align insights with business goals.
- Build, manage, and mentor a team of data scientists and analysts focused on payment analytics.
Requirements
- 8+ years of experience in data science or advanced analytics, with at least 3 years in a leadership capacity.
- Deep knowledge of the payments ecosystem—cards, bank transfers, real-time payments, wallets, and alternative payment methods.
- Strong SQL and Python skills, with hands-on experience in predictive modeling, experimentation, and A/B testing.
- Demonstrated ability to deliver measurable impact through data in large-scale, global product or platform environments.
- Exceptional communication skills and comfort working across technical and non-technical audiences.
- Experience with remittances, cross-border payments, or multi-region payment platforms.
- Familiarity with the economics and mechanics of payment processing (authorization flows, success rate drivers, cost levers).
- Experience with modern data tooling (e.g., Snowflake, dbt, Bedrock/ Dataiku/ other ML Platforms, Airflow, Looker, Mode).
- Advanced degree (MS/PhD) in Data Science, Statistics, Computer Science, Economics, or related quantitative field.
Benefits
- Flexible Time off
- Medical, Dental and Life Insurance
- Tuition Assistance Program
- Parental Leave
- One day volunteer time off
- $0 Money Transfer Fee Discount Code – Quarterly Recognition Program
- “Game Changers” Employee Discount Program
- Global Adoption Assistance
- Global Scholarship Awards Program
- 4% Western Union Contribution to 401K
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