Engineering Senior Manager Jobs in Jersey City, NJ
Engineering Senior Manager jobs in Jersey City are concentrated in the Hudson Waterfront corridor, Journal Square, and Newport district, across financial technology, telecommunications, and life sciences. Employers actively hiring include JPMorganChase, LTM Limited, and Information Technology Senior Management Forum. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 93+ Engineering Senior Manager jobs
Build what powers better decisions at scale. In this role, you'll lead multiple engineering teams delivering modern data engineering and business intelligence capabilities that enable critical finance outcomes. You'll create an environment where engineers do their best work—shipping reliably, raising quality, and learning continuously. You'll also help scale responsible, enterprise-authorized AI-assisted engineering practices to unlock productivity while protecting security and data sensitivity. If you enjoy combining people leadership with technical depth and measurable impact, this is your opportunity.
Job Summary:
As a Senior Software Engineering Manager in the Corporate Technology, Asset & Wealth Management Finance team, you will lead multiple engineering teams delivering data engineering and business intelligence solutions that support finance stakeholders. You will set clear technical direction, operating practices, and delivery expectations across teams, balancing speed with quality and operational excellence. You will partner closely with business and technology leaders to prioritize outcomes and align roadmaps. You will build an inclusive culture focused on ownership, continuous improvement, and responsible use of enterprise-authorized AI capabilities.
Job Responsibilities
- Lead multiple teams delivering data engineering platforms and analytics solutions aligned to finance priorities
- Define and execute the data engineering roadmap, including scalable pipeline design and modernization
- Architect and guide PySpark-based processing patterns to improve performance, reliability, and maintainability
- Deliver business intelligence capabilities by partnering with stakeholders to define requirements and drive adoption
- Establish engineering standards for code quality, testing, documentation, and production readiness
- Drive operational excellence by monitoring service health, reducing incidents, and improving recoverability
- Develop talent through coaching, feedback, hiring, and succession planning across teams
- Partner with risk, security, and governance stakeholders to ensure appropriate handling of sensitive data
- Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets
Required Qualifications, Capabilities, and Skills
- Demonstrated people leadership experience managing multiple engineering teams and leaders
- Hands-on knowledge of data engineering concepts, including batch processing patterns and data pipeline design
- Hands-on experience building or supporting PySpark-based solutions in production environments
- Experience delivering business intelligence solutions using business intelligence tools
- Strong ability to translate business outcomes into actionable engineering roadmaps and delivery plans
- Strong understanding of software engineering fundamentals, including code quality, testing, and production support
- Effective stakeholder management skills, including influencing across technology and business partners
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns
Preferred Qualifications, Capabilities, and Skills
- Experience delivering data and analytics solutions in a finance-aligned domain
- Experience building reusable data products and enabling self-service analytics at scale
- Experience leading large-scale modernization initiatives across teams
- Familiarity with establishing metrics for engineering throughput, quality, and reliability across organizations
- Experience partnering with geographically distributed teams and stakeholders
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Build what powers better decisions at scale. In this role, you'll lead multiple engineering teams delivering modern data engineering and business intelligence capabilities that enable critical finance outcomes. You'll create an environment where engineers do their best work—shipping reliably, raising quality, and learning continuously. You'll also help scale responsible, enterprise-authorized AI-assisted engineering practices to unlock productivity while protecting security and data sensitivity. If you enjoy combining people leadership with technical depth and measurable impact, this is your opportunity.
Job Summary:
As a Senior Software Engineering Manager in the Corporate Technology, Asset & Wealth Management Finance team, you will lead multiple engineering teams delivering data engineering and business intelligence solutions that support finance stakeholders. You will set clear technical direction, operating practices, and delivery expectations across teams, balancing speed with quality and operational excellence. You will partner closely with business and technology leaders to prioritize outcomes and align roadmaps. You will build an inclusive culture focused on ownership, continuous improvement, and responsible use of enterprise-authorized AI capabilities.
Job Responsibilities
- Lead multiple teams delivering data engineering platforms and analytics solutions aligned to finance priorities
- Define and execute the data engineering roadmap, including scalable pipeline design and modernization
- Architect and guide PySpark-based processing patterns to improve performance, reliability, and maintainability
- Deliver business intelligence capabilities by partnering with stakeholders to define requirements and drive adoption
- Establish engineering standards for code quality, testing, documentation, and production readiness
- Drive operational excellence by monitoring service health, reducing incidents, and improving recoverability
- Develop talent through coaching, feedback, hiring, and succession planning across teams
- Partner with risk, security, and governance stakeholders to ensure appropriate handling of sensitive data
- Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets
Required Qualifications, Capabilities, and Skills
- Demonstrated people leadership experience managing multiple engineering teams and leaders
- Hands-on knowledge of data engineering concepts, including batch processing patterns and data pipeline design
- Hands-on experience building or supporting PySpark-based solutions in production environments
- Experience delivering business intelligence solutions using business intelligence tools
- Strong ability to translate business outcomes into actionable engineering roadmaps and delivery plans
- Strong understanding of software engineering fundamentals, including code quality, testing, and production support
- Effective stakeholder management skills, including influencing across technology and business partners
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns
Preferred Qualifications, Capabilities, and Skills
- Experience delivering data and analytics solutions in a finance-aligned domain
- Experience building reusable data products and enabling self-service analytics at scale
- Experience leading large-scale modernization initiatives across teams
- Familiarity with establishing metrics for engineering throughput, quality, and reliability across organizations
- Experience partnering with geographically distributed teams and stakeholders
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
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Find JobsEngineering Senior Manager Job Market in Jersey City
Who's Hiring
- JPMorganChase60
- LTM Limited11
- Information Technology Senior Management Forum11
- Fortitude Re5
- Syncreon Consulting5S
Engineering Senior Manager Jobs in Jersey City: Frequently Asked Questions
How do I get a engineering senior manager job in Jersey City?
The strongest path into a Jersey City engineering senior manager role is through the city's financial technology and telecommunications sectors, which cluster along the Hudson Waterfront and in Newport. Firms there consistently need leaders who can manage cross-functional teams and deliver infrastructure or software projects at scale. Candidates with experience overseeing agile delivery, vendor relationships, or platform migrations stand out most in this market.
Which companies hire engineering senior managers in Jersey City?
Jersey City engineering senior manager roles are posted by JPMorganChase, LTM Limited, and Information Technology Senior Management Forum and others right now, based on current listings on Migrate Mate as of November 2026. The local market is anchored by large financial institutions and technology firms that maintain significant engineering operations across the Hudson Waterfront and Journal Square campuses.
Are there remote engineering senior manager jobs in Jersey City?
Yes, though availability depends on the role, since engineering senior managers who oversee on-site teams or lab environments typically need to be in person, while those leading software or platform engineering can often work remotely. About 100% of engineering senior manager openings tied to Jersey City are remote or hybrid as of November 2026, reflecting the area's strong fintech and cloud engineering presence. Program oversight and team coordination functions are the most commonly offered as hybrid in Jersey City.
How can I get a engineering senior manager job in Jersey City with little or no experience?
The most realistic entry path is moving laterally from a senior individual contributor or engineering manager role within one of Jersey City's financial technology or telecommunications firms, which often promote internally into senior management. Targeting mid-sized fintech companies in Journal Square or Newport that are scaling engineering teams gives candidates the best chance to take on expanded scope before stepping into a formal senior manager title. Building a record of project delivery and people management in those environments is what local hiring managers look for.
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