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Sr Director of Software Engineering - Data

JPMorgan Chase

Sr Director of Software Engineering - Data

JPMorgan Chase

Jersey City, NJ, United States, US

·

On-site

·

Full-time

·

4mo ago

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together.

As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer and Community Banking Data Products Team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.

Job responsibilities

  • Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
  • Directly manages multiple areas with strategic transactional focus
  • Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
  • Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
  • Manages multiple stakeholders, complex projects, and large cross-product collaborations
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams
  • Champions the firm’s culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • 7+ years of experience or equivalent expertise in Software Engineering, with a focus on leading complex technology projects and programs in large organizations.
  • Lead Data Product Development. Creation and implementation of a strategic roadmap for allocation transformation, ensuring alignment with the firm's long-term goals and objectives.
  • Conduct thorough analysis of current allocation processes and identify areas for improvement and innovation.
  • Drive the design and development of data products that enhance allocation processes and provide actionable insights to stakeholders.
  • Collaborate with data architects and analytics teams to build scalable and robust data solutions that support business needs.
  • Collaborate with business teams to identify data needs and align data products to use cases
  • Provides critical day-to-day leadership and strategic thinking, working with team of engineers and architects to align cross-functional initiatives, ensuring they are feasible both fiscally and technically.
  • Identify opportunities to improve resiliency, availability, secure, high performing platforms in Public Cloud using JPMC best practices.
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

  • Experience working at code level
  • Experience with data visualization and business intelligence platforms.
  • Knowledge of industry-specific regulations and compliance standards

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

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Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study