CCOR Data Management Lead

JPMorgan Chase & Co.•Newark, DE

4d•$133,000 - $205,000

About The Position

As a Vice President within the Data Strategy Team, you are part of the CCOR data management organization. You will play a pivotal role in executing data strategies that drive business operations and strategic objectives. Data Product Managers serve as subject matter experts, coordinating between providers and consumers to design fit for purpose, well governed data products to solve business needs. By leading efforts to mitigate data risks and enhance data quality, you will ensure data serves as a trusted asset for decision-making and innovation. Your leadership will foster a data-driven culture that supports organizational growth and competitive advantage. You will be working closely with CCOR Business leaders, CCOR ML, Analytics & Dashboarding teams, CCOR CDO and CCOR technology partners to determine appropriate strategies to manage and leverage CCOR data to drive innovation. Also oversee delivery of a central data platform which is critical part of CCOR data strategy to enable the innovation agenda using AI/ML, advanced analytics & automation.

Requirements

Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field, OR equivalent professional experience in data management, data governance, or a related field
Minimum 5 years of experience in data management, data governance, risk management/analytics, or a related field
Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification
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
Experience working on large scale data lake / data-warehousing projects
Knowledge of data modeling techniques is a must have.
Hands on SQL writing knowledge is required, along with experience to write Python & Pyspark code is required.

Nice To Haves

Experience with Tableau, QlikView, Thoughtspot or other reporting and analytics tools is a strong plus
Experience with AI/ML techniques is plus.
Experience with cloud-based data platforms and technologies, such as Databricks, Snowflake, AWS, Azure, or Google Cloud is a strong plus

Responsibilities

Implement strategic plans to deliver data solutions that effectively support business operations and strategic objectives, to align with organizational goals
Provide Data product ownership for one or more CCOR data product lines for implementation of CCOR Data Lake, including functional requirements capture, Product design, test planning and oversight, prioritization of work, and working with technology partners throughout development to ensure clear understanding of requirements and quality of delivery.
Manage the execution of projects and related milestones, understand and mitigate risks, bottlenecks, and inefficiencies throughout the project / initiative
Collaborate with key partners to ensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
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
Manage and guide direct or matrixed staff in executing data-related tasks and initiatives