Key Responsibilities

• 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 deep subject matter expertise in CCOR functional domains and use that to drive the design of the data models for CCOR data platform, with the goal of achieving increased business efficiency & pro-active risk management.
• Actively engage with stakeholders and maintain partnerships across CCOR business teams, CCOR Tech & CCOR CDO
• Drive adherence to Firm-Wide Data Risk Management policy and standards within the CCOR Product framework
• Consult with business owners and technology on the impact of changes to the data / data platforms & delivery channels and facilitate change management across CCOR Data consumers.
• Participate in the development of necessary tools and processes for Data Management & Governance for CCOR.
• Participate in development of comprehensive data quality framework and drive the business requirement for managing the quality of CCOR data.
• Develop prototypes for data visualization, data analytics & automation in partnership with other CCOR Digital teams & product owners.

 Qualifications:

• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Management, or equivalent experience.
• Minimum of 10 years of experience in business analysis, process analysis/mapping, data governance or data analysis activities, with large, complex datasets. 
• Experience working on large scale data lake / data-warehousing projects is a strong plus. 
• Proven ability to gain understanding of business needs including how data is used and managed, and develop functional requirements for solutions that support those needs
• Experience with Tableau, QlikView, SAP Business Intelligence or other reporting and analytics tools required. Experience with AI/ML techniques is a strong plus.
• Hands on SQL writing knowledge is required.
• knowledge of data and process modeling techniques is a strong plus.
• Understanding of data flows and data management techniques for diverse data types. (e.g. reference data, structured/unstructured data, big data, etc)
• Proven ability to coordinate across functional teams, IT professionals, and other key stakeholders
• Strong relationship-building skills, demonstrated consultative approach and proven skill in influencing others
• Proven ability to develop strategies and solution roadmaps with an innovative approach to problem solving
• Exceptional communication and presentation skills; ability to articulate complex issues concisely, communicating effectively and comfortably with senior stakeholders
• Proficient in Microsoft Office Suite; Advanced Excel and PowerPoint skills required
• Knowledge of Compliance & Operational Risk data and processes preferred.