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Senior Executive Director of Software Engineering - Data Platforms | Workforce and Experience Technology (WXT)

Senior Executive Director of Software Engineering - Data Platforms | Workforce and Experience Technology (WXT)
New York, NY
·
On-site
·
Full-time
·
2w ago
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Mental Health
•Learning Budget
•Parental Leave
•Healthcare
•401k
•Equity
•Mental Health
•Learning
•Parental Leave
Required Skills
Data Engineering
Python
Scala
PySpark
Apache Spark
Leadership
Team management
Cloud architecture
Data governance
Product management
You will be poised to achieve extraordinary success and make a high impact on those around you through data solutions. Partner with an organization comprised of the industry's thought leaders and committed to advancing your leadership career.
As a Senior Director of Software Engineering at JPMorgan Chase within the Employee Platforms, Workforce Experience Technology (WxT) Workforce Data and Analytics (WDA) 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 You will lead data engineering and drive impact within teams, technologies, and data product offerings across HR, Employee Experience, CAO and EP technology. Utilize your in-depth engineering knowledge and impact for data, analytics, applications, technical processes, and product management to lead multiple complex designs and initiatives making key decisions for your team, and drive innovation and solution delivery.
Job responsibilities
- Builds data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc.
- Champions proficiency in all aspects of the data production pipeline ensuring they are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security).
- Utilizes best practice trends in both test-driven and data-driven development.
- Creates modular designs that can be auto repeatable as frameworks to build a data production factory, minimizing ad hoc data generation.
- Leads data engineering scrum teams to achieve functional technology objectives while influencing peer leaders and senior stakeholders across the business, product, and data technology teams
- Partners with Product and Architecture to make strategic decisions that influence teams' resources, budget, tactical operations, and the implementation of processes and procedures.
- Executes at code level accountability for SDLC, design patterns and upskilling engineers
- Uplifts and modernizes data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, Fin Ops, Operational Excellence and Ease of consumption.
- Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
- Champions the firm's culture of diversity, equity, inclusion, and respect
- Transforms traditional HR/EX into modern data product offerings that scales for business needs.
Required qualifications, capabilities, and skills.
- Formal training or certification on Data Engineering concepts and 12+ years applied experience. In addition, 8+ years of experience leading technologists and software engineers to manage, anticipate and solve complex technical items within your domain of expertise.
- Hands-on Data Engineering development, testing, automation
- Practical experience with the following key technical skills including Databricks, DBX, Py Spark, Spark, Cloud Providers: Databricks, AWS, Azure, Terraform, Kafka, Python/Scala, Glue/EMR, AI Developer Automation Tools (Unit Test)
- BI Consumption with tools such as: Sigma, Genie, Tableau SaaS
- Ability to manage governance with Unity Catalogue and Data Access with Immuta
- Experience developing and leading cross-functional teams of technologists.
- Experience dealing with internet scale volume and size of data.
- Experience hiring, developing, and recognizing talent.
- Experience leading a product as a Product Owner or Product Manager
- Experience in Big Data technologies handling complex data processing requirements.
- Experience building data pipelines and platforms in cloud (AWS S3, Databricks, GCP, Azure)
Preferred qualifications, capabilities, and skills
- Experience working hands-on at code level
- Prior Financial Services experience is preferred.
ABOUT US
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM:
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan 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
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Work Life Balance
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Culture
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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
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