Engineering Director Jobs in Jersey City, NJ
Engineering Director jobs in Jersey City are in strong demand, concentrated in the waterfront district, Journal Square, and Newport across financial technology, telecommunications, and enterprise software. Employers hiring right now include JPMorganChase, Information Technology Senior Management Forum, and The Depository Trust & Clearing Corporation (DTCC). Find a role that fits below and apply directly.
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Showing 5 of 50+ Engineering Director jobs
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 JPMorganChase within Corporate Technology, you lead the strategy, engineering, and end-to-end delivery of the department's Databricks-based data lake and consumption platform on AWS. You provide direction to global engineering teams building data pipelines, APIs, reporting products, and self-service analytics capabilities. Partnering with business, product, technology, and control stakeholders, you translate business priorities into a platform roadmap and deliver secure, governed, scalable capabilities that support production use. Your leadership connects platform architecture, engineering execution, and stakeholder adoption.
Job responsibilities
- Own the platform strategy, roadmap, and delivery across data onboarding, access provisioning, and consumption capabilities, balancing business demand, engineering dependencies, and operational risk.
- Lead and develop global, distributed engineering teams delivering data pipelines, APIs, front-end data products, and self-service analytics; establish technical standards, delivery accountability, and cross-team collaboration.
- Direct data onboarding and integration using Unity Catalog, Delta Sharing, and Lakehouse Federation, enabling governed access across workspaces, catalogs, and lines of business.
- Partner with senior business, product, technology, audit, and compliance stakeholders to prioritize investments, resolve competing objectives, and communicate architectural choices and delivery trade-offs.
- Establish and enforce onboarding controls for data classification, metadata, lineage, and access, ensuring source-data classification approval and clear ownership before data is made available for consumption.
- Own platform production readiness, scalability, resilience, and audit readiness; drive remediation of control gaps involving service identities, credential lifecycle, classification coverage, and schema changes.
-
Define and monitor service-level objectives for stakeholder-facing data products, with clear accountability for reliability, support, and operational performance.
Evaluate and adopt Databricks-native capabilities, including declarative pipelines and conversational analytics, where they improve usability, governance, delivery efficiency, or cost. - Set standards for enterprise-authorized AI-assisted and agentic engineering workflows across teams, including automated testing and release governance, with appropriate human oversight, security, validation, resilience, and traceability.
- Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts and 10+ years of applied experience, including 5+ years leading technologists in the delivery of complex engineering capabilities.
- Experience leading large or cross-functional, globally distributed engineering teams, including hiring, developing, and recognizing talent.
-
Deep technical or architectural expertise in Databricks on AWS, including Unity Catalog, Delta Sharing, Lakehouse Federation, and data pipeline development.
Demonstrated success delivering enterprise-scale data platforms with production-grade access controls, lineage, data classification, and operational support. -
Experience delivering data consumption and self-service analytics capabilities spanning pipelines, APIs, and reporting or front-end data products.
Demonstrated ability to influence senior stakeholders in highly matrixed organizations and translate business requirements into platform architecture, delivery priorities, and measurable outcomes. - Experience leading complex initiatives spanning system design, testing, deployment, resilience, and operational stability, supported by extensive practical cloud-native experience.
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
- Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
Preferred qualifications, capabilities, and skills
- Experience in financial services or another highly regulated industry.
- Experience with federated data access and sharing across multiple workspaces, catalogs, business units, or legal entities.
- Familiarity with audit and control-testing programs and the implications of coarse-grained and fine-grained data access models.
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 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.
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 JPMorganChase within Corporate Technology, you lead the strategy, engineering, and end-to-end delivery of the department's Databricks-based data lake and consumption platform on AWS. You provide direction to global engineering teams building data pipelines, APIs, reporting products, and self-service analytics capabilities. Partnering with business, product, technology, and control stakeholders, you translate business priorities into a platform roadmap and deliver secure, governed, scalable capabilities that support production use. Your leadership connects platform architecture, engineering execution, and stakeholder adoption.
Job responsibilities
- Own the platform strategy, roadmap, and delivery across data onboarding, access provisioning, and consumption capabilities, balancing business demand, engineering dependencies, and operational risk.
- Lead and develop global, distributed engineering teams delivering data pipelines, APIs, front-end data products, and self-service analytics; establish technical standards, delivery accountability, and cross-team collaboration.
- Direct data onboarding and integration using Unity Catalog, Delta Sharing, and Lakehouse Federation, enabling governed access across workspaces, catalogs, and lines of business.
- Partner with senior business, product, technology, audit, and compliance stakeholders to prioritize investments, resolve competing objectives, and communicate architectural choices and delivery trade-offs.
- Establish and enforce onboarding controls for data classification, metadata, lineage, and access, ensuring source-data classification approval and clear ownership before data is made available for consumption.
- Own platform production readiness, scalability, resilience, and audit readiness; drive remediation of control gaps involving service identities, credential lifecycle, classification coverage, and schema changes.
-
Define and monitor service-level objectives for stakeholder-facing data products, with clear accountability for reliability, support, and operational performance.
Evaluate and adopt Databricks-native capabilities, including declarative pipelines and conversational analytics, where they improve usability, governance, delivery efficiency, or cost. - Set standards for enterprise-authorized AI-assisted and agentic engineering workflows across teams, including automated testing and release governance, with appropriate human oversight, security, validation, resilience, and traceability.
- Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering concepts and 10+ years of applied experience, including 5+ years leading technologists in the delivery of complex engineering capabilities.
- Experience leading large or cross-functional, globally distributed engineering teams, including hiring, developing, and recognizing talent.
-
Deep technical or architectural expertise in Databricks on AWS, including Unity Catalog, Delta Sharing, Lakehouse Federation, and data pipeline development.
Demonstrated success delivering enterprise-scale data platforms with production-grade access controls, lineage, data classification, and operational support. -
Experience delivering data consumption and self-service analytics capabilities spanning pipelines, APIs, and reporting or front-end data products.
Demonstrated ability to influence senior stakeholders in highly matrixed organizations and translate business requirements into platform architecture, delivery priorities, and measurable outcomes. - Experience leading complex initiatives spanning system design, testing, deployment, resilience, and operational stability, supported by extensive practical cloud-native experience.
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
- Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
Preferred qualifications, capabilities, and skills
- Experience in financial services or another highly regulated industry.
- Experience with federated data access and sharing across multiple workspaces, catalogs, business units, or legal entities.
- Familiarity with audit and control-testing programs and the implications of coarse-grained and fine-grained data access models.
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 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.
See All 50 Engineering Director Jobs in Jersey City
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Find Engineering Director JobsEngineering Director Job Market in Jersey City
Who's Hiring
- JPMorganChase25
- Information Technology Senior Management Forum11
- The Depository Trust & Clearing Corporation (DTCC)8
- Citi3
- MUFG3
Top Industries Hiring
- Banking & Financial Services11
- Fintech3
- Investment & Asset Management3
Engineering Director Jobs in Jersey City: Frequently Asked Questions
How do I get a engineering director job in Jersey City?
The strongest path into an engineering director role in Jersey City runs through the city's financial technology and telecommunications sectors, which cluster along the Hudson waterfront and around Journal Square. Hiring managers here respond well to candidates who can demonstrate cross-functional leadership, prior experience managing distributed teams, and familiarity with regulated-industry environments. Building visibility with Jersey City's mid-size fintech firms and infrastructure companies, which often promote from within, gives candidates a real edge over applicants targeting only the largest employers.
Which companies hire engineering directors in Jersey City?
Employers hiring engineering directors in Jersey City right now include JPMorganChase, Information Technology Senior Management Forum, and The Depository Trust & Clearing Corporation (DTCC), based on current listings on Migrate Mate as of November 2026. Jersey City's employer mix is notably broad, ranging from global financial services firms with large technology divisions to growth-stage fintech startups and telecom infrastructure companies based in the waterfront corridor.
Are there remote engineering director jobs in Jersey City?
Yes, though remote availability depends heavily on the role, since engineering director positions often require on-site presence for team oversight, stakeholder meetings, and infrastructure decisions. About 82% of engineering director openings tied to Jersey City are remote or hybrid as of November 2026, reflecting broader industry patterns. The most remote-eligible positions tend to be those within software-focused organizations where the director's primary output is strategic and people leadership rather than hands-on facility management.
How can I get a engineering director job in Jersey City with little or no experience?
The most realistic entry path in Jersey City is moving into a senior engineering manager role at one of the city's mid-size fintech or enterprise software firms, then building toward director-level scope over one to two years. Jersey City employers in these sectors frequently hire senior engineers into people-management tracks, particularly candidates who can show ownership of a product line or platform. Volunteering for cross-functional initiatives inside your current organization and building a record of hiring and developing engineers accelerates the transition locally.
Which industries hire the most engineering directors in Jersey City?
Most engineering director openings in Jersey City sit in Banking & Financial Services, Fintech, and Investment & Asset Management, per current listings on Migrate Mate as of November 2026. Jersey City's proximity to Manhattan's financial core, combined with lower office costs and strong transit access, has drawn large technology and operations teams from banking, insurance, and telecommunications firms that consistently need senior engineering leadership.
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