Sr Mgr-Digital Product Mgmt at American Express Malaysia Sdn Bhd

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

02 Jul, 26

Salary

0.0

Posted On

03 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product management, Data engineering, Data modeling, SQL, Data warehousing, Software engineering, Business analysis, Agile methodologies, Google Cloud Platform, BigQuery, Data governance, Strategic planning, Stakeholder management, AI adoption, Advanced analytics, Team leadership

Industry

Financial Services

Description

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. Job Description: The Global Loyalty and Benefits Data domain is seeking an experienced Senior Product Manager to lead key initiatives within the Amex Global Loyalty and Benefits data platform. The ideal candidate will have a software engineering/business analysis/ product management background with previous experience in data engineering, data warehouse and application modernization projects. As the Sr Product Manager, you will collaborate with multiple stakeholders & business partners to define the business needs, frame strategy, create and own the roadmap, execute and deliver on priorities and effectively communicate at all levels. The responsibilities will include leading transformation and growth initiatives and building capabilities with peer product managers and engineering leads, both within and outside of the organization. Responsibilities: Collaborate with data engineering teams to define, prioritize, and manage the development of data ingestion, and canonical data models within Amex big data platform (on premise and GCP) Build and actively manage a product backlog of features that are aligned with Global Loyalty and Benefits Product portfolio vision, enterprise data strategy and Organizational outcomes. Lead associate product managers to translate the data product roadmap into well-defined features with clear acceptance criteria. Partners with business, analytics, and technology teams to build data products to support data consumers through self-service access, documentation, and data quality transparency. Leads the adoption of AI and advanced analytics within the data domain, ensuring data products are AI-ready and support intelligent insights, anomaly detection, automation, and personalization use cases. Lead cross-functional teams through scaled agile ceremonies, ensuring that projects are delivered on time and meet business objectives. Write queries to extract and analyze data and evaluate data models to define business objectives Act as the primary point of contact between data engineering teams, business stakeholders, and customers, ensuring alignment on program goals and timelines. Create and maintain detailed documentation, reports, and presentations to communicate project status, risks, and outcomes to stakeholders at all levels. Minimum Qualifications: Experience: 8+ years of product management, business analysis, or software engineering experience leading data engineering or data-related initiatives. Technical Skills: Proficiency in data modelling, SQL, and experience with data warehouse technologies like HIVE Agile Experience: Good understanding of agile methodologies and proven experience leading teams through scaled agile ceremonies. Communication Skills: Experience communicating and influencing above and creating/delivering presentations for wide leadership audiences Preferred Qualifications: Past work experience within Amex Loyalty and/or big data ecosystem Experience with Google Cloud Platform (GCP) and BigQuery. Prior experience in leading data engineering and migration initiatives Familiarity with data governance and best practices in data management. Managing and developing direct reports 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 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.

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Responsibilities

The Senior Product Manager will lead key initiatives within the Global Loyalty and Benefits data platform, collaborating with engineering and business stakeholders to define strategy and roadmaps. They will oversee the development of data products, manage product backlogs, and drive the adoption of AI and advanced analytics to support business objectives.