Data Owner - VP or Sr Associate - JPMorgan Wealth Management

JobID: 210346595 Category: Predictive Science JobSchedule: Full time Posted Date: 2024-04-10T19:13:26+00:00 JobShift: : Job title Data Owner - Vice President or Sr.

Associate Level Positing description Is 'garbage in, garbage out' a mantra you live by?

Do you get animated when a conversation turns to the topic of data systems?

Would you like to lead the team that plays an integral role in getting the right data in the right platforms to accelerate product development and drive business growth?

JPMorgan Chase needs passionate data owners to deliver data strategies that will enable the firm to bring the power of data to life.

As a Data Owner you are responsible for integrating data priorities with an assigned Product as well as coordinating data strategies across the larger Products and Analytics teams.

These positions require inventive, aspiring, and inspiring leaders who can help to deliver the firm's data strategy.

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 a 'jack of all trades' (or 'jill of all trades') when it comes to 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