Chief Data Strategy Officer
3 days ago
A Career Defining Opportunity
Are you a visionary leader seeking to drive transformative change in the world of data management? American Express, a global leader in payment technology, invites applications for a Chief Data Strategy Officer to spearhead its ambitious data governance initiative.
About the Role:
This is an exceptional opportunity to lead the Technology Enterprise Data Management function while heavily influencing various Enterprise Technology capabilities. You will partner with business, product, and engineering teams to unlock the power of data across Amex, driving the vision, strategy, and implementation of Enterprise Data Management capabilities.
Key Responsibilities:
- Develop and execute a comprehensive data governance strategy, ensuring seamless integration with business objectives.
- Partner with Enterprise Data Architecture to design complex engineering solutions for both real-time and batch data feeds.
- Lead the implementation of technology solutions to enable Enterprise Data Deletion, Retention, and Anonymization capabilities.
- Collaborate with Product and Data Policy owners to build capabilities for Data Policy Management in support of Data Lifecycle Management.
- Ensure technology solutions for Data Lifecycle Management are scalable and can solve for the majority of applications and databases within the company.
- Advocate for industry-leading technologies to facilitate continuous improvements on data management-related efforts.
- Serve as a thought leader, reviewing current and future needs alongside the Executive Team.
Qualifications:
- Bachelor's Degree in Computer Science, Computer Engineering, or related STEM fields; Advanced degree preferred.
- 8+ years of experience in full-lifecycle product development and engineering leadership in highly available, scalable, high-throughput systems.
- Proven track record of building and delivering sophisticated platforms leveraging various technologies (e.g., Python, Java/J2EE/Web Technologies, APIs/Web-Services) that scale optimally.
- Good understanding of cluster and parallel architecture, as well as high-scale or distributed RDBMS and/or knowledge of NoSQL platforms.
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