American Express—Senior Associate -Digital Product Management

Job description

Description: Enterprise Data Platforms (EDP) enables the enterprise with trusted, governed, and actionable data through modern digital products and platforms. The team transforms enterprise warehouse data into intuitive, scalable experiences that help users discover, access, analyze, and derive insights from data. As an Sr. Associate Product Owner – Digital Data Products, you will support the development and delivery of enterprise data products built on modern cloud and data platforms, including Google Cloud Platform (GCP). You will work closely with business, data, technology, and design teams to translate user needs and complex data capabilities into simple, high-value digital experiences. This role is ideal for someone who combines strong analytical and problem-solving skills with an interest in product management, data, cloud technologies, and AI/GenAI-enabled digital experiences. Requirements: - Bachelor’s or master’s degree in Computer Science, Information Technology, Information Systems, Mathematics, Statistics, Business/MBA, or a related discipline. - 3+ years of relevant experience in digital products, data products, business analysis, product ownership/management, technology delivery, data analytics, or related roles. - Proven Product Management/Product Ownership experience, including product strategy, roadmaps, prioritization, requirements, and end-to-end delivery.  - Exposure to products or solutions that enable users to discover, access, analyze, or derive insights from data. - Strong understanding of modern cloud and data ecosystems; exposure to GCP, BigQuery, Cloud Composer/Airflow, Pub/Sub, APIs, or big-data technologies is preferred. - Working knowledge of one or more of the following: data warehousing, databases, SQL, data integration/pipelines, APIs, analytics, BI/reporting, and digital UI concepts. - Experience translating complex data and technology capabilities into intuitive user experiences and measurable business value.  - Strong analytical, problem-solving, communication, collaboration, and stakeholder-management skills. - Experience working in Agile product development environments; familiarity with SAFe is preferred. - Ability to work effectively across business and technology teams, manage multiple priorities, and operate in a complex enterprise environment. - Curiosity and willingness to develop expertise across product management, cloud, data, analytics, AI, and GenAI. - Experience or exposure to enterprise data platforms, data warehouses, data marketplaces, self-service analytics, data governance, cloud-based data products, or AI/GenAI-enabled experiences is highly desirable. Responsibilities: - Support the product roadmap, backlog, and delivery of enterprise digital data products and platform capabilities. - Understand enterprise user journeys and help identify opportunities to simplify how users discover, access, consume, and derive insights from warehouse data through best-in-class digital products. - Identify and evaluate AI/GenAI opportunities across digital product journeys, including potential business benefits, productivity improvements, adoption, and success measures. - Translate business and user needs into well-defined features, user stories, acceptance criteria, and measurable outcomes. - Participate in product discovery, requirements gathering, backlog refinement, prioritization, solution-design discussions, sprint planning, testing, and product releases. - Collaborate with UX/design, engineering, architecture, data analytics, governance, and business teams to deliver intuitive, scalable, and reliable data products. - Support the definition and tracking of product KPIs, adoption, user experience, and business outcomes, and use data and user feedback to identify opportunities for product enhancement. - Assist in ensuring data security, privacy, governance, entitlement, and compliance requirements are incorporated into product features and user journeys. - Identify and track product dependencies, risks, issues, and delivery milestones, escalating where appropriate and supporting timely resolution. - Create product documentation, stakeholder communications, demonstrations, release readiness, and adoption activities. - Develop an understanding of emerging capabilities across cloud, data, analytics, AI, and GenAI and contribute ideas for product innovation and improved user experiences. - Contribute to a customer-centric and outcome-driven product culture by bringing user insights, data, and structured problem-solving into product decisions.