Data Security Digital Product Manager - Gen AI/ Agile

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

At American Express, our mission is to deliver the world’s best customer experience every day. At the heart of this mission is our Information Security organization, enabling exceptional experiences built on a foundation of trust, service, and security. We leverage advanced technologies and data-driven insights to stay ahead of an evolving threat landscape. We foster a culture of passion, curiosity, and courage - empowering you to innovate, grow, and help shape the future of a Fortune 100 company.

Trust. Service. Security.

The Data Security team is responsible for safeguarding the organization’s most critical asset - its data - by ensuring confidentiality, integrity, and availability across all platforms and environments. Working at the intersection of cybersecurity, data governance, and privacy, the Data Security team focuses on capabilities such as data classification, encryption, secure data access, and monitoring. The team partners closely with engineering, risk, and business units to embed security controls throughout the data lifecycle - from creation and storage to sharing and archival.

As a Product Owner, you will lead the development of platforms and capabilities that enable internal teams to securely leverage enterprise data encryption services. This role focuses on building and enhancing a services portal for encryption solutions, as well as products that integrate with Hardware Security Modules (HSMs). You will play a critical role in shaping the direction of encryption products - driving innovation, accelerating AI adoption, improving automation, and enhancing the efficiency and scalability of security services across the organization. You will champion the responsible use of AI across the product lifecycle, identifying opportunities to improve customer experiences, streamline engineering workflows, and enable secure AI-powered capabilities within enterprise security platforms. You should have strong product mindset with the ability to translate complex technical capabilities into scalable, user-focused solutions.

How will you make an impact in this role?

The Product Owner is accountable for translating product direction into precise, executable work while ensuring strong alignment with engineering delivery and measurable outcomes. This role emphasizes disciplined backlog management, clear prioritization, and consistent execution patterns to improve delivery predictability, reduce fragmentation, and enhance overall product quality. You will act as the voice of the customer and the steward of execution excellence - ensuring that encryption services are delivered securely, reliably, and with a high degree of operational rigor.

This role also plays a key part in enabling the evolution of the platform to support AI-driven use cases - ensuring that encryption services are accessible, intuitive, and scalable for both human users and intelligent systems. The Product Owner will incorporate AI capabilities into product development in a disciplined, execution-focused manner, aligning innovation with secure, reliable delivery.

Minimum Qualifications

5+ years Product Owner or execution-focused delivery experience.

7+ years of experience working with Agile/Scrum teams in a fast-paced development environment including experience driving execution discipline across multiple teams and improving delivery predictability and consistency.

Proven experience managing backlogs and delivering software products end-to-end including ownership of complex, multi-team backlogs with measurable delivery outcomes and reduced fragmentation.

Comfortable engaging with engineering teams on technical requirements, dependencies, and constraints including deep partnerships with engineering on execution trade-offs, scalability, and implementation consistency.

Experience supporting multiple Scrum teams simultaneously (strongly preferred).

Skilled in breaking down large initiatives into incremental, testable, and deliverable user stories.

Ability to lead effective backlog refinement sessions, stakeholder discussions, and decision-making meetings.

Proven product mindset - ability to connect business value, user needs, and technical execution.

Excellent communication, prioritization, and stakeholder management skills.

Strong analytical thinking and ability to make data-driven decisions.

Demonstrated experience using Generative AI tools (e.g., ChatGPT, GitHub Copilot, Microsoft Copilot, Claude, Gemini, or similar) to improve product management, documentation, analysis, or software delivery workflows.

· Strong understanding of AI, Generative AI, Agentic AI, and Large Language Model (LLM) concepts, including opportunities, limitations, governance considerations, and secure enterprise adoption.

Bachelor Science in Computer Science or Information Technology or equivalent technical experience.

Preferred Qualifications:

Certified Scrum Product Owner (CSPO) or equivalent certification.

Experience working in scaled Agile environments (SAFe or similar).

Data-driven mindset with experience using metrics to guide decisions.

Experience leading AI adoption initiatives within product or engineering organizations, including integrating AI into product strategy, operational workflows, or software delivery practices.

Experience defining AI-powered product capabilities, including conversational interfaces, intelligent automation, AI agents, or retrieval-augmented applications.

Familiarity with responsible AI principles, model governance, prompt engineering, and secure AI implementation in regulated environments.

Familiarity with encryption, tokenization, and other data security concepts.

Experience working with enterprise security platforms or regulated environments.

Familiarity with programming languages (Java, ReactJs etc..) and concepts

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.