JPMorgan Data Owner Lead-Vice President 

United States, Ohio, Columbus 

315854077

As a Data Owner Lead - Vice President on the Operations Data Owner’s Team, you’ll be responsible for integrating data priorities with an assigned product as well as coordinating data strategies across the larger products and analytics teams. You will play a key role in delivering the firm’s data strategy and promoting business growth.

Job responsibilities

• Understanding the customer’s business needs and goals and ensure all of your actions support them
• Advocating for the strategic consumption, creation, and publishing of data for one or more products as part of a formal Product Leadership team
• Identifying critical data - including upstream, downstream and data exchanges – for an assigned product to ensure is well-documented, classified, and delivered in a manner consistent with the quality and safety requirements of the business
• Partnering with an Analytics Lead to identify data required to be integrated into analytics platforms to support advanced analytics outcomes such as customer segmentation, machine learning and personalization
• Establishing expectations for the required accuracy, completeness, and timeliness of data within the product, and remediating issues identified throughout the data life cycle in compliance with Firm-wide policies and standards
• Prioritizing the data work in a product’s backlog and effectively driving teams toward a robust set of execution milestones to deliver quality data
• Managing processes to identify, monitor, and mitigate risks for data in a product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality

Required qualifications, capabilities, and skills

• Bachelor’s degree and 5+ years of experience in related and applicable data analytics functions
• Competent in many data technologies, with a broad background across data management and governance, big data platforms, or data architecture
• Excellent leadership skills related to product, programs, projects, teams and employees
• Effectively influences people at all levels across business and technology functions
• Passionate about data modernization; you live by the philosophy of exposing the richest data possible so users can get value, even users you don’t know
• Knowledge of Agile (scrum) technical development methodologies and big data disciplines
• Demonstrate structure, flexibility and creativity in your problem solving - you geek out about developing an elegant solution versus just solving a problem via brute force
• Thrive in scrappy and collaborative working environments to manage delivery across multiple work streams with varying timelines, complexities and competing priorities
• Crisply articulates complex technical concepts to non-technical audiences with poise and confidence and are capable of upwardly influencing the strategic direction of business solutions

Preferred qualifications, capabilities, and skills

• Exhibit deep knowledge of the financial services industry and businesses
• Significant experience working with data warehousing, ETL, data quality concepts, BI/analytical tools, unstructured data, or machine learning
• Can profile, wrangle, and prepare data from disparate sources using tools like SQL, SAS, Python, Spark, Scala or Alteryx… but you don’t want to write code all day; you are also excited to meet new business partners