American Express - Phoenix, AZ

posted 3 months ago

Full-time - Manager
Phoenix, AZ
Credit Intermediation and Related Activities

About the position

At American Express, we are committed to empowering our employees and fostering a diverse and inclusive workplace. As a Manager in Digital Product Management, you will play a pivotal role in shaping the future of our data governance and management strategies. This position is designed for a strong candidate with a background in data management and governance, who can collaborate effectively across various teams to define and deliver a comprehensive product roadmap. You will be responsible for ensuring compliance with data governance policies, automating data management routines, and supporting the effective organization and governance of Amex data at scale. In this role, you will exemplify strong data governance product experience, focusing on harvesting data dictionaries, lineage, catalogs, and data quality. You will define product strategies and automation frameworks for system integrations, enhancing user experience through a unified portal and addressing various data governance and management needs. Your extensive experience in technology partnerships will be crucial, as you will need to understand tech stacks such as Java, Python, Spark, and Scala, as well as database systems like SQL and NoSQL. You will translate product vision and roadmap into well-defined product requirements, user stories, and acceptance test criteria. Managing the Enterprise Data Management will require balancing the needs of various partners, coordinating communications, and facilitating the resolution of risks and issues tied to the product backlog. Post-launch, you will continually improve products by prioritizing bugs and feature requests based on customer satisfaction. Your active participation in all phases of the Agile product delivery process will be essential, as will your ability to conduct tool evaluations and proof-of-concepts for Enterprise Data Management solutions. This position is not limited to the aforementioned responsibilities; you will also lead other implementation aspects within the evolving landscape of data governance and regulatory environments. The ideal candidate will have over five years of experience in product management or development, a proven track record of leading complex products, and a deep understanding of data governance and management concepts.

Responsibilities

  • Collaborate across the American Express Enterprise Data Management and Governance team to define and deliver a product roadmap.
  • Ensure compliance with data governance policies and automate data management routines.
  • Exemplify strong data governance product experience in harvesting data dictionaries, lineage, catalogs, and data quality.
  • Define product strategies and automation frameworks for system integrations and user experience.
  • Translate product vision and roadmap into well-defined product requirements, user stories, and acceptance test criteria.
  • Manage the Enterprise Data Management, balancing the requirements of various partners and facilitating resolution of risks and issues.
  • Continually improve products post-launch, prioritizing bugs and feature requests based on customer satisfaction.
  • Participate in all phases of the Agile product delivery process.
  • Conduct tool evaluations and proof-of-concepts for Enterprise Data Management solutions.
  • Lead implementation aspects within the evolving landscape of data governance and regulatory environment.

Requirements

  • 5+ years of experience in product management and/or product development.
  • Proven track record of leading large and complex products in a fast-paced environment.
  • In-depth knowledge of Data Governance and Management concepts including API integration, metadata, lineage, and data quality.
  • Experience with Data Governance products like MANTA, Colibra, Alation, Atlan, IGC.
  • Strong understanding of technology stacks (Java, Python, Spark, Scala) and databases (SQL, NoSQL).
  • Ability to promote disciplined and proactive metadata management approaches.

Nice-to-haves

  • Experience with artificial intelligence and machine learning techniques.
  • Familiarity with Agile product delivery processes.

Benefits

  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid parental leave
  • Retirement plan
  • Vision insurance
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