Manager-Digital Product Management

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Enterprise Data Management & Products (EDMP), a key part of our Technology organization, focuses on delivering data products that fuel business growth and unlock value, while also shaping robust data management strategies and governance solutions. Our aim is to propel growth, unlock potential, enhance efficiency, manage risk, and foster talent. By prioritizing enterprise growth across all sectors, we create solutions that enhance satisfaction and value, streamline operations for scalability, and maintain trust and security.

Role Description:

We are seeking a Product Manager to lead the strategy and execution of the enterprise semantic layer, a foundational capability that enables consistent, trusted, and reusable business definitions across analytics, reporting, and data products. This role will own the product vision and delivery of semantic modeling capabilities that power self-service analytics, accelerate insight generation, and ensure alignment between business metrics and underlying data assets.

This role is responsible for enabling a scalable metrics and business logic layer that improves data usability, reduces ambiguity, and drives faster time to insights for internal consumers, while ensuring strong governance, compliance, and data quality standards are embedded by design.

Primary Responsibilities:

• Lead the product strategy, roadmap, and execution for the enterprise semantic layer, including business metrics, dimensions, and shared definitions across the analytics ecosystem.
• Define and govern enterprise-wide semantic standards through Looker (LookML), ensuring consistent interpretation of KPIs, measures, and calculations across BI tools, dashboards, and downstream data products.
• Partner with data engineering and platform teams to design and deliver scalable semantic modeling capabilities that support multiple consumption patterns (BI, self-service analytics, APIs, etc). 
• Collaborate with data governance, risk, and compliance partners to ensure semantic definitions align with regulatory, privacy, and data quality requirements.
• Enable self-service analytics by improving data usability, metric discoverability, and trust through well documented, versioned, and owned semantic models.
• Drive adoption of the semantic layer by working with lines of business, analytics teams, and product owners to migrate and standardize existing metrics and reports.
• Establish and track success metrics such as semantic layer adoption, metric reuse, reduction in conflicting definitions, and user satisfaction.
• Act as a senior product leader and influencer, aligning stakeholders across technology and business teams to deliver enterprise-scale outcomes.
• Provide mentorship and guidance to product analysts and associates, fostering a culture of innovation, accountability, and collaboration.
• Build and maintain strong stakeholder relationships to identify needs, resolve challenges, and drive continuous improvement in product offerings.
• Serve as a key liaison to leadership, preparing and delivering updates on roadmap progress, priorities, and risks.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field; Master’s preferred.
• 5–8 years of experience in digital or data product management, with demonstrated ownership of platform, data, or internal enterprise products.
• Strong understanding of Looker/LookML Model ecosystem, including data lakes/warehouses, metadata management, data catalogs, APIs, and analytics tools.
• Deep understanding of semantic layer tools (e.g. Looker LookML), metrics frameworks, and business modeling, including KPIs, measures, dimensions, and hierarchies.
• Experience designing or managing enterprise semantic layers supporting multiple tools.
• Experience supporting analytics and BI ecosystems, including self-service reporting and data consumption at scale.
• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field; Master’s preferred.
• 5–8 years of experience in digital or data product management, with demonstrated ownership of platform, data, or internal enterprise products.
• Strong understanding of Looker/LookML Model ecosystem, including data lakes/warehouses, metadata management, data catalogs, APIs, and analytics tools.
• Deep understanding of semantic layer tools (e.g. Looker LookML), metrics frameworks, and business modeling, including KPIs, measures, dimensions, and hierarchies.
• Experience designing or managing enterprise semantic layers supporting multiple tools.
• Experience supporting analytics and BI ecosystems, including self-service reporting and data consumption at scale.

Salary Range: $103,750.00 to $174,750.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries 
• Bonus incentives 
• 6% Company Match on retirement savings plan 
• Free financial coaching and financial well-being support 
• Comprehensive medical, dental, vision, life insurance, and disability benefits 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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