Consumer Card - Data Owner Senior Associate

Overview

On Site
Full Time

Skills

Product Development
Customer Experience
Continuous Improvement
Meta-data Management
Business Process
Clarity
KPI
Data Flow
Artificial Intelligence
Training
Project Coordination
Data Security
Storage
Data Integrity
SQL
Python
R
Data Extraction
Extract
Transform
Load
Data Engineering
Data-flow Diagrams
Data Architecture
Data Modeling
ERwin
Cloud Computing
Amazon Web Services
Microsoft Azure
Big Data
Apache Hadoop
Apache Spark
Alteryx
Snow Flake Schema
Data Quality
Privacy
Management
Streaming
Data Management
Modeling
Health Care
Backup
Finance
Coaching
Recruiting
SAP BASIS
Law
Financial Services
Banking
Financing
Payment Processing
Credit Cards
Sales
Customer Satisfaction
Customer Care and Billing
Data Governance
Reporting
Data Science
Machine Learning (ML)
Collaboration
Partnership
Analytics

Job Details

Job Description

We are looking for a leader who is passionate about using data to accelerate product development, drive business growth, and improve the Chase customer experience.

As a Data Owner Senior Associate, within the Card Data and Analytics Data Owner team, you will be a key part of the team helping us to deliver critical business initiatives and have data engineering skills where you will meticulously document and analyze data flows across various systems, ensuring seamless integration and consistency. You will also collaborate with stakeholders, provide valuable insights into data-related challenges and opportunities and continuous improvement in data processes.

Job Responsibilities:
  • Work closely with business analysts, data engineering, product teams, and other stakeholders to gather requirements, resolve data issues, and provide insights into data-related challenges and opportunities.
  • Partner with key business leaders to promote understanding of data usage, provide subject matter expertise, and ensure data is well-documented and classified with appropriate metadata and execute data-related tasks, manage milestones, and address risks, bottlenecks, and inefficiencies in the data development lifecycle.
  • Investigate data attributes and metrics, map their relationships and dependencies across systems, and assess their impact on business processes, reporting, and analytics and accurately document data flows, lineage, transformation, and movement across systems, ensuring clarity and comprehensiveness.
  • Create and update relational data models to support current and future data architecture, business objectives, and data governance.
  • Develop key performance indicators (KPIs) to measure progress toward data flow goals, and track work streams to ensure successful delivery and create plans for developing and delivering curated datasets to support strategic objectives, operations, analytics, AI/ML training, and reporting.
  • Assist Data and Analytics leads by identifying and integrating required data into analytics platforms for project support.
  • Identify, monitor, and mitigate data risks, including data protection, retention, destruction, storage, use, and quality and document and coordinate requirements for data accuracy, completeness, and timeliness; manage execution of tasks to comply with firm wide data integrity and protection policies.

Required Qualifications, Capabilities, and Skills:
  • Bachelor's degree required, with 7+ years of industry experience in a data-related field.
  • Data Querying capabilities such as SQL, Python, or R, to develop and maintain data models and mappings.
  • Proficiency in data engineering techniques, including data extraction, transformation, and loading (ETL) processes, to support robust data management and integration.
  • Technical expertise in data management, data engineering, data pipelines (e.g. Data Flow Diagrams), data modeling (e.g. Entity Relationship Diagrams), data architecture, and governance, along with proficiency in data modelling tools (e.g. Erwin) and associated techniques.
  • Experience with cloud platforms like AWS, Google, or Azure, and/or big data technologies such as Hadoop, Spark, Alteryx, Snowflake.
  • Strong understanding of data quality, privacy, and security standards, and experience with data governance frameworks and tools.
  • Proven ability to manage delivery across multiple work streams with varying timelines, ensuring our product and organization meet goals through effective execution via internal partnerships.

Preferred Qualifications, Capabilities, and Skills:
  • Subject matter expertise in business or product data or processes; Credit Card domain knowledge is a plus.
  • Knowledge of industry best practices for data management and modelling.

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. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
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