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JPMorganChase

Data Domain Architect Lead - Core Treasury

Reposted 19 Hours Ago
Be an Early Applicant
Hybrid
Columbus, OH
Senior level
Hybrid
Columbus, OH
Senior level
As a Data Domain Architect Lead, you will design and develop Treasury DataMart, enhance analytical processes, and collaborate with key stakeholders to ensure data quality and reporting accuracy.
The summary above was generated by AI
Job Description
Are you ready to make a significant impact across the Consumer & Community Banking finance organization? Join our Core Treasury Analytics team and play a pivotal role in designing and developing the Treasury DataMart. This is your chance to empower streamlined and intelligence-driven perspectives to senior management, contributing to high-profile decision making on both core and topical challenges.
As a Data Domain Architect Lead in Core Treasury, you will have the unique opportunity to work across the organization, collaborating with key stakeholders in Treasury, Technology and Finance. You will gain direct exposure to senior business leaders and help to streamline and automate our analytical and intelligence processes. You will provide a consultative perspective to drive improvements in our data framework that support key analytics and models, focusing on our $1+ Trillion retail deposit portfolio. You will tackle ambiguous problem statements, working independently and forging deep connections across the firm creating a lasting impact for the team and entire organization!
Job responsibilities
  • Play a pivotal role in transaction-level data enrichment and transformation. You will use analytics to derive key insights on money movement and consumer health, making a tangible impact throughout the organization.
  • Dive deep into our financial reporting platforms and develop a key repository for treasury analytics. You'll promote key analysis and provide a strategic repository for model assumption inputs, becoming a go-to expert in the field.
  • Build strong relationships across the firm and influence colleagues at all levels in a dynamic, high-stakes environment. Serve as an internal consultant tackling major business challenges, ensuring timely delivery through data lifecycle management.
  • Hone your skills in delivering high-impact, well-structured analytical solutions. Support the team's analytical perspectives with finance and non-finance audiences alike, sharing compelling messages with our senior leaders.
  • Leverage existing tools and techniques to create repeatable processes for intelligence creation. Integrate the newest technology advancements to further reduce errors and maximize the speed to insights, promoting innovation at every turn.
  • Work closely with our Technology Team to design and deliver cutting-edge data domains into the Finance Data Mart. Your efforts will bring together essential data categories, integrally supporting the Treasury function's analytical and reporting needs with precision and efficiency.
  • Gain unparalleled exposure to core finance and banking skills, including interest rate risk, capital, liquidity, transfer pricing, valuation, and strategic analytics, exploring a wide range of elements of our fortress balance sheet.

Required qualifications, capabilities, and skills
  • 8+ years of full-time work experience in data architecture, financial reporting system or data analytics
  • Advanced experience with business intelligence analytic and data wrangling tools such a Python, SAS, SQL, and Alteryx
  • Experience with relational databases including optimizing data pipelines to load, process, transformer and stage data for intelligence generation ensuring data quality through profiling, cleansing and validation
  • Practical knowledge in financial analysis, competitive analytics and data management
  • Bachelor's degree in MIS, Computer Science, Finance, Accounting, Mathematics, Engineering, Statistics or other quantitative, analytical or financial subject areas
  • Advanced Excel use including structured process to prototype and solution analysis which is easy to follow, helping to answer complex and/or ambiguous questions
  • Working knowledge of retail banking and products
  • Excellent communication skills both written (Presentation/PowerPoint, Memo/Word) and verbal with experience in debating complex concepts with senior leaders

Preferred qualifications, capabilities, and skills
  • Experience developing in AWS, Databricks and Snowflake
  • The ideal candidate will be highly self-motivated, thrive in a dynamic environment with shifting priorities, and have passion and intellectual curiosity to find and capture business value
  • Familiarity with Hyperion Essbase, Dodeca, PitchPro, Tableau and relational data structures
  • Desire and/or progress towards MBA, CFA charter, CPA, CTP or other financial certifications

Candidates must be able to physically work in our offices full-time (5 days). The specific details and timing will be determined and communicated by direct management.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment/work visa at this time (including but not limited to H1B, H4 - EAD, OPT, TN, or L visas).
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.

Top Skills

Alteryx
AWS
Databricks
Dodeca
Hyperion Essbase
Pitchpro
Python
SAS
Snowflake
SQL
Tableau

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