JPMorganChase

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. 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. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing.

wealth management

Job Description 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 <ul><li>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</li><li>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</li><li>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</li><li>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</li><li>Prioritizing the data work in a product’s backlog and effectively driving teams toward a robust set of execution milestones to deliver quality data</li><li>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 </li></ul>Required Qualifications, Capabilities, And Skills <ul><li>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</li><li>Have excellent leadership skills – of product, programs, projects, teams and/or employees – and can influence people at all levels across business and technology functions</li><li>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</li><li>Have experience with Agile (scrum) technical development methodologies and big data disciplines</li><li>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</li><li>Thrive in scrappy and collaborative working environments to manage delivery across multiple work streams with varying timelines, complexities and competing priorities</li><li>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 </li></ul>Preferred Qualifications, Capabilities, And Skills <ul><li>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)</li><li>Have significant experience working with experience with data warehousing, ETL, data quality concepts, BI/analytical tools, unstructured data, or machine learning</li><li>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</li><li>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</li><li>Relocation is not offered/supported for this role </li></ul>About Us Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

START NEW SEARCH