Manager/Senior Manager-Digital Product Management

Key Skills

Agile methodologies, Data Warehousing, Effective communication skills, Infrastructure as code, Machine learning techniques, Planning and organization, Product Management

Job Description

About the Team

American Express is on a journey to provide the world’s best customer experience every day. The Commercial Data Office (CoDO) team, within Global Commercial Services (GCS), is focused on powering the best customer experience and business growth through streamlined data. With continuous changes in the regulatory environment and innovation through data evolving, we play a key role in strengthening GCS critical enablers and supporting new growth opportunities. In partnership with the Enterprise Chief Data Office and across GCS, CoDO is tasked with building new, innovative data solutions for our customers, while adhering to regulations and data management standard methodologies.

The team’s mission is comprised of 3 pillars:

• Drive Strategic Growth & Revenue –Defining the vision and roadmap to enable data as a key asset to power business growth.
• Modernize Data Management –Ongoing data management, data discovery and collaboration across business and technical teams
• Ensure Health of the Commercial Business – Striving for 100% reliability of current data platforms and capabilities while developing more agility and scalability for the future

About the Role

The Product Manager of Machine Learning & Client Hierarchy Capabilities will report directly to the Director, Machine Learning & Client Hierarchy Capabilities. They will lead product related engagements, solutioning and ownership of applications like Commercial Parenting & Tagging, particularly focusing on digital products for hierarchy and relationships setup & configuration processes for Amex clients.

The manager will work with teams across GCS, Technology and other business units to support the current business priorities and goals, while powering future growth. He / She will also collaborate with peers from the Enterprise Platform and other GCS product teams to evolve and deliver our data strategy and roadmap.

We are looking for a dynamic candidate with a strong hands-on experience of digital product ownership and data management background and a practical understanding of data systems/technology. Leading dedicated and innovative team, the manager will design and deliver high impact data solutions and deliver the best data content to commercial clients to drive our business forward.

Responsibilities

• Align with Commercial Data Office initiatives to drive & scale the GCS Client Hierarchy Capabilities
• Enable effective, efficient working relationship with business and technology partners
• Define and own product vision and success metrics
• Strategize, collaborate, plan, and deliver on critical GCS and enterprise initiatives, to uplift user data experience, process controls & products
• Collaborate, communicate, and enable Clients and client management teams with commercial data needs
• Engage with strategic partners to enable deeper data details to create win-win outcomes for our customers & partners
• Align with business partners to provide quality solutions & alternatives that meet requirements & project goals
• Detailed execution of development, validation & implementation of data capabilities & automated solutions
• Lead, encourage & mentor a team of analyst(s) to deliver impactful internal & external customer capabilities.
• Build and cultivate a highly engaged and strong performing team that has right blend of subject knowledge, collaboration and focus on driving business results

Qualifications

• 4+ years of direct work experience in large scale/modern data as a service products or digital platforms
• Demonstrable understanding and experience with web-based data products, scalable architecture & infrastructure, and its development
• Solid grasp and experience of digital products, user experience and enterprise frameworks
• Practical product management experience, evolving technologies along with traditional data warehousing and data organization techniques
• Shown ability to apply prioritization principles and lead planning discussions with partners
• Experience delivering via agile methodologies and practices
• Ability to understand and anticipate user and customer needs with respect to data solutions
• Outstanding relationship and influence management skills to collaborate with internal and external partners
• Strong people leader with proven success in motivating a high energy team
• Track record of understanding business challenges & strategies and translating them into helpful & scalable solutions
• Ability to work with white space to design and bring to life solutions solving complex challenges
• High-caliber communication skills, with experience providing updates to large groups and senior leaders
• Willingness to test, learn, fail, and improve is crucial

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• 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

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. 

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.