JPMorgan Chase's Risk Management and Compliance division needs to execute data strategies that drive business operations and strategic objectives, mitigate data risks, and enhance data quality to ensure data serves as a trusted asset for decision-making and innovation, fostering a data-driven culture for organizational growth and competitive advantage.
Requirements
- In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification
- Experience working on large scale data lake / data-warehousing projects
- Hands on SQL writing knowledge is required.
- knowledge of data and process modeling techniques is required
- Experience with Tableau, QlikView, Thoughtspot or other reporting and analytics tools is preferred
- Knowledge of with AI/ML techniques is advantageous.
- Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud is a strong plus.
Responsibilities
- Provide Data product ownership for one or more CCOR data product lines for implementation of CCOR Data Lake, including functional requirements capture, test planning and oversight, prioritization of work, and working with technology partners throughout development to ensure clear understanding of requirements and quality of delivery.
- Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle, addressing issues related to data protection, retention, storage, use, and quality
- Partner with CDO & technology teams to design & develop tools & processes for effective data management
- Develop prototypes for data visualization, data analytics & automation in partnership with other CCOR Digital teams & product owners
- Communicate and resolve data issues in a timely and consistent manner, maintaining data integrity and consumer trust
- Implement strategic plans to deliver data solutions that effectively support business operations and strategic objectives, to align with organizational goals
- Manage the execution of projects and related milestones, understand and mitigate risks, bottlenecks, and inefficiencies throughout the project / initiative
Other
- Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
- Excellent analytical and problem-solving skills, translating complex data concepts into business strategies
- Strong communication skills, effectively conveying data concepts to technical and non-technical stakeholders, as well as senior audiences
- Strong leadership skills with experience in managing and mentoring cross-functional teams
- Proven ability to build and maintain relationships with key stakeholders and manage large-scale data projects
