Senior Manager-Digital Product Management

Travel & Lifestyle Services (TLS) is continuing to modernize its data ecosystem and expand how trusted, scalable data capabilities enable customer experience, analytics, personalization, AI/ML and business decision-making.

We are seeking a Senior Manager, Product Development – TLS Lumi & Data to help lead the strategy, development and execution of enterprise data capabilities across TLS. This role will be responsible for advancing the TLS data ecosystem on Lumi, partnering across Enterprise Data, Engineering, Analytics, Architecture and business teams to migrate and onboard TLS data assets and enable scalable data products and capabilities.

The role will require a combination of strong product leadership, enterprise data and cloud platform knowledge, technical fluency, and the ability to influence across a complex organization.

Product Strategy & Roadmap

• Define and execute product vision, strategy and roadmap for TLS Lumi and enterprise data capabilities.
• Translate TLS business, analytics and customer needs into scalable data products and platform capabilities.
• Own product discovery, requirements definition, prioritization and roadmap execution.
• Develop business cases and investment priorities, balancing business value, technical feasibility, scalability and risk.

Lumi & Data Platform

• Partner with Enterprise Data, Engineering and TLS teams to drive migration, onboarding and integration of TLS data assets onto Lumi.
• Support modernization of the TLS data ecosystem, including movement from legacy data platforms toward cloud-based architecture.
• Develop scalable approaches for data ingestion, integration, analytical data models and reusable data products.
• Partner with Architecture and Engineering on APIs, data integration patterns and platform capabilities.

Data Products, Analytics & AI Enablement

• Identify opportunities to leverage TLS data to enable analytics, personalization, AI/ML and emerging AI capabilities.
• Partner with Data Science, Analytics and Engineering teams to translate data needs into reusable, scalable products.
• Ensure the underlying datasets and capabilities can support analytical and AI/ML use cases while meeting appropriate data-management requirements.

Product Delivery

• Lead end-to-end product development from discovery and requirements through development, launch and optimization.
• Own and prioritize the product backlog and establish clear requirements and acceptance criteria.
• Participate in PI Planning and broader strategic planning, identifying dependencies and aligning priorities across teams.
• Partner with Engineering to manage delivery risks, technical dependencies and sequencing.

Stakeholder Leadership

• Build strong partnerships across Enterprise Data, Engineering, Architecture, Analytics, Data Science, business teams and other enterprise stakeholders.
• Represent TLS priorities across enterprise Lumi and strategic data initiatives.
• Influence senior stakeholders and drive alignment where priorities and dependencies span organizations.
• Communicate product strategy, roadmap, investment priorities, progress, risks and outcomes to senior leadership.

Measurement & Product Health

• Establish KPIs and success measures for data and platform products.
• Measure areas such as platform adoption, data quality, reliability, reuse, operational efficiency, time-to-insight and business value.
• Use performance data and stakeholder feedback to continuously improve capabilities and prioritize the roadmap.

Risk, Data Governance & Controls

• Partner with appropriate Data Governance, Privacy, Risk, Compliance and Control teams to ensure data capabilities meet applicable requirements.
• Incorporate data quality, ownership, metadata, lifecycle and governance considerations into product development.
• Ensure data capabilities are designed for responsible, scalable enterprise consumption.

• Bachelor's degree in engineering, Computer Science, Information Systems, electronics and telecommunication or a related engineering field, or equivalent professional experience.
• 5+ years of Product Management/Product Development or related experience, including significant experience delivering complex digital, data or technology platforms.
• Strong understanding of enterprise data platforms, cloud data architectures, data products, APIs, analytical data models, and data ingestion/integration patterns.
• Experience working with GCP and cloud data/analytics technologies such as BigQuery, or comparable technologies.
• Experience partnering with Data Engineering, Analytics Engineering, Architecture and business teams to translate business and analytical requirements into scalable data capabilities.
• Strong understanding of big data, data pipelines and ETL/ELT concepts.
• Demonstrated experience leading complex cross-functional initiatives in an Agile environment, including roadmap/backlog prioritization and large-scale planning.
• Proven ability to influence senior stakeholders, drive alignment across complex enterprise initiatives, and translate technical concepts into clear business outcomes.
• Strong analytical, problem-solving, written and verbal communication skills.

Preferred Qualifications

• Experience delivering enterprise-scale data platform modernization or cloud migration initiatives.
• Experience with Lumi, GCP, BigQuery, Tableau or comparable enterprise data and analytics technologies.
• Experience developing products or data capabilities supporting AI/ML, personalization, analytics or GenAI.
• Working knowledge of SQL and data analysis; familiarity with Python is a plus.
• Experience working in financial services, travel, digital platforms or another highly regulated environment.
• Understanding of data governance, privacy, security, data quality and enterprise controls.
• Experience leading complex transformation initiatives spanning multiple teams.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.