Location: Columbus, OH, United States

Are you passionate about using data to accelerate product development, drive business growth, and improve the Financial Analytics experience? Then this is the right fit for you.

As a successful Data Owner Lead in Community & Consumer Banking Finance team, you will be important to the firm’s agenda of enabling the business to drive faster innovation through the use of its data by ensuring that data is clearly documented, of good quality and well-protected. In this role you will be responsible for all data that is created, provisioned, or consumed in one or more business applications, and which may support business objectives, advanced analytics, business operations, and reporting functions. You will serve as subject matter experts to help define and classify data critical to their business area. You will also collaborate with technology and business partners to ensure that required data is delivered in a manner consistent with the quality and safety requirements of the business. In support of these functions, you will be responsible for executing processes and procedures that identify, monitor, and mitigate data risks throughout the data life cycle in compliance with Firmwide policies and standards.

Job  Responsibilities :

• Create plans on how to develop and deliver data for their business area to support business operations, strategic objectives, and advanced analytics
• Work with key partners across products, processes, and analytics functions to Identify, define and classify the scope of data critical to their business area.
• Serve as a subject matter expert with multiple stakeholders to drive a strong understanding of the data and its use in their business area and across lines of business and functions.
• Document requirements for the content and quality of data for their business area, and coordinate with technology and business partners to deliver requirements
• Develop processes and procedures in the product management lifecycle. Identify, monitor, and mitigate data risks across the data lifecycle in their business area, include risks related to data protection, retention and destruction, storage, use, and quality
• Partner with technology and business resources to resolve identified data issues in a timely and consistent manner
• Manage direct or matrixed staff to execute data-related tasks

Required Qualifications, capabilities, and skills :

• Bachelor’s degree with 7+ years of related experience
• Expertise in data technologies such as data warehousing, data management & governance, data integration, big data, business intelligence and machine learning
• Understanding of business products, processes, and associated data.
• Experience with risk and control requirements
• Excellent interpersonal & communication skills
• Good business acumen and strategic thinking
• Knowledge of ETL principles or data structures
• Understanding and practical experience in big data engineering, analytics, machine learning or Public Cloud related technologies & their applications
• Knowledge of query or analytical programming languages; Use of bitbucket and data management pipelines; use agile delivery tools i.e. JIRA
• Knowledge of Databricks 

Preferred Qualifications, capabilities, and skills :

• Master’s degree preferred
• Analytical thinking and problem-solving skills
• Knowledge of cloud based technologies
• Product lifecycle experience / area product management experience

Relocation is not offered/supported for this role