Position description

As a Data Owner - Vice President in JPMorgan Wealth Management, you will 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

Advocating for the strategic consumption, creation, and publishing of data for one or more JPMWM financial, digital, or desktop 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

Are deeply familiar with a wide variety of data technologies, with a broad background across data management and governance, big data platforms, or data architecture Have excellent leadership skills – of product, programs, projects, teams and/or employees – and can influence people at all levels across business and technology functions Are 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 Have experience with 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 Can crisply articulate 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 (e.g., wealth management, retail, wholesale as well as operations and technology functions); even better if you understand data domains & SORs that are needed by a wealth management organization (e.g., securities data) Have significant experience working with experience 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 Are a lifelong learner and hold a growth mindset; we welcome individuals who listen to industry podcasts, stay abreast of cutting-edge techniques, or participate in KDD and Kaggle competitions for “fun” and love to share what they are learning with the rest of the team

***Relocation is not offered/supported for this role