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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Executive Director, Data Platform Product Lead... - **Company:** JPMorgan Chase & Co. - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $180,500.0 - $285,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Continuous Integration, Data as a Services, Data Governance, Data Infrastructure, DevOps, Distributed Systems, Payment Systems, Python (Programming Language), Metadata, Platform as a Service (PAAS), Cloud Services, SQL Databases, Tableau (Software), Toolchain, Snowflake, Infrastructure Automation Frameworks, Data Delivery, Restful APIs, Data Pipelines, Api Management, Alteryx - **Published:** May 16, 2026 - **Apply:** https://www.juju.com/job/00000000g0fhca ## About the Role + 10+ years of experience in data platform engineering, product management, or technology leadership, preferably in payments, merchant acquiring, or financial services. + Deep technical expertise in cloud data platforms, distributed systems, and analytics toolchains (Snowflake, AWS/Azure, SQL, Python, Tableau, Alteryx). + Proven experience designing and delivering platform-as-a-service solutions, including API management, self-service enablement, and managed data products. + Strong understanding of data governance, security, and compliance in regulated environments. + Track record of leading cross-functional teams, driving platform adoption, and commercializing data services. + Engage with internal and external stakeholders to align platform strategy, communicate technical roadmaps, and drive adoption Preferred qualifications, capabilities, and skills + Recognized thought leader in data platform or PaaS domains. + Experience with platform automation, CI/CD, and DevOps practices. + Experience with AI Acceleration to build market ready platforms. + Expertise in data quality, metadata, lineage, and model deployment best practices. + Familiarity with experimentation, A/B testing, and measurement frameworks. ## Description As the Data Platform Product Lead, you will drive the vision, strategy, and execution for a scalable, secure, and high-performance data platform. You'll enable internal and external clients to access, analyze, and operationalize data through robust APIs, self-service tools, and managed services. Your leadership will ensure the platform is engineered for extensibility, reliability, and compliance, supporting diverse analytics and reporting needs across the payments ecosystem., + Lead the design and delivery of a cloud-native, modular data platform (e.g., leveraging Snowflake, AWS/Azure, SQL, Python, Tableau, Alteryx) that supports multi-tenant, self-service analytics and data productization. + Define and implement platform APIs, data pipelines, and integration patterns to enable seamless onboarding, ingestion, and consumption of merchant, network, and issuer data. + Champion automation, scalability, and resilience in platform operations, including CI/CD, monitoring, and incident response. + Develop and commercialize platform capabilities as managed services, including "insights as a service," reporting, and data enrichment. + Establish reusable data assets, visualization standards, and self-service tools for internal product teams and merchant clients. + Drive adoption through clear service packaging, pricing, and value realization frameworks. + Set and enforce standards for data quality, metadata, lineage, and model lifecycle management. + Govern source onboarding, integrations, and pipelines to ensure secure, compliant, and analytics-ready data delivery. + Embed robust risk management, privacy, and regulatory controls, with audit-ready documentation. + Partner with engineering, data science, and architecture teams to deliver platform features and enhancements. + Build and mentor a high-performing team of product managers, data engineers, and analytics leaders. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)