Data Manager Jobs in Jersey City, NJ
Data Manager jobs in Jersey City are concentrated in the Newport and Journal Square districts, as well as the Hudson Exchange area, across financial services, healthcare IT, and logistics sectors. Employers hiring right now include JPMorganChase, Deloitte, and Eikon Therapeutics. Find a role that fits below and apply directly.
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Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally gifted professionals and position yourself among the top echelon in site reliability.
As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Chief Data & Analytics Office (CDAO) AI/ML & Data Platforms team, you work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for services supporting large-scale data platforms and data lake ecosystems. You will ensure those NFRs are embedded into product design and testing phases, that service level indicators effectively measure customer and data platform performance, and that service level objectives are defined with stakeholders and implemented in production to support secure, scalable, and high-performing analytics and AI/ML workloads.
Job responsibilities
- Creates and delivers high quality designs, roadmaps, and program charters alongside the engineering teams, including data platform and distributed systems initiatives
- Acts as a key resource and mentor for technologists in your area seeking advice on technical and business issues, and serves as a culture carrier and site reliability adoption champion for your team
- Collaborates with others to create and implement observability and reliability designs for complex systems and data platforms which are robust, stable, and do not incur additional toil or technical debt
- Uses enterprise-authorized AI capabilities within the work environment to accelerate reliability design and operational decisioning (e.g., incident/post-incident analysis and requirements traceability), validating outputs and handling operational data according to sensitivity and security requirements
- Drives evolution and debugging of critical components, including platform and data system dependencies, by understanding application and infrastructure interdependencies and limitations
- Provides comprehensive and ongoing guidance, tools, and solutions to support the firm's growth, including scalable data platform infrastructure and engineering best practices
- Makes significant contributions to JPMorganChase's site reliability community via internal forums, communities of practice, guilds, and conferences
- Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., testing/validation automation and production readiness), ensuring traceability/auditability, resiliency, and security controls across application and data platform environments
Required qualifications, capabilities, and skills
- Formal training or certification on site reliability engineering concepts and 5+ years applied experience
- Brings an advanced understanding of site reliability culture and principles and a track record of demonstrating how to implement site reliability within applications, platforms, or large-scale data systems, including strong understanding of SLI/SLO/SLA and error budgets
- Advanced knowledge and experience in observability such as white and black box monitoring, service level objectives, alerting, and telemetry collection across distributed and data platform environments, including tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows with strong validation habits and awareness of data sensitivity
- Ability to set team practices for safe AI usage in operations (e.g., review/approval expectations and escalation paths) while maintaining resiliency, security, and auditability outcomes, ensuring compliance with risk controls and company-wide standards
- Advanced knowledge of software applications and technical processes, including distributed systems, system design, resiliency, testing, operational stability, and disaster recovery, with considerable depth in one or more technical disciplines
- Demonstrated ability to communicate data-based solutions with complex reporting and visualization methods and collaborate effectively across teams to drive incident resolution and improvements
- Recognized as an active contributor of the engineering community
- Strong communication skills and a desire to mentor and educate others on site reliability engineering principles and practices while building strong cross-functional relationships
Preferred qualifications, capabilities, and skills
- Experience with AWS platforms and managed data platforms such as Databricks, including platform administration and engineering support
- Experience in building and managing data pipelines using Spark or similar distributed compute frameworks
- Familiarity with big data ecosystem tools (e.g., Spark, Glue, MapReduce)
- Knowledge of containerization (Docker, Kubernetes) and orchestration frameworks
- Experience with CI/CD pipelines, automation frameworks, and infrastructure as code (e.g., Terraform)
- Proficiency in Python or similar programming languages for automation and platform development
- Familiarity with large-scale distributed systems and data processing environments
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries
ABOUT US
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.
Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally gifted professionals and position yourself among the top echelon in site reliability.
As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Chief Data & Analytics Office (CDAO) AI/ML & Data Platforms team, you work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for services supporting large-scale data platforms and data lake ecosystems. You will ensure those NFRs are embedded into product design and testing phases, that service level indicators effectively measure customer and data platform performance, and that service level objectives are defined with stakeholders and implemented in production to support secure, scalable, and high-performing analytics and AI/ML workloads.
Job responsibilities
- Creates and delivers high quality designs, roadmaps, and program charters alongside the engineering teams, including data platform and distributed systems initiatives
- Acts as a key resource and mentor for technologists in your area seeking advice on technical and business issues, and serves as a culture carrier and site reliability adoption champion for your team
- Collaborates with others to create and implement observability and reliability designs for complex systems and data platforms which are robust, stable, and do not incur additional toil or technical debt
- Uses enterprise-authorized AI capabilities within the work environment to accelerate reliability design and operational decisioning (e.g., incident/post-incident analysis and requirements traceability), validating outputs and handling operational data according to sensitivity and security requirements
- Drives evolution and debugging of critical components, including platform and data system dependencies, by understanding application and infrastructure interdependencies and limitations
- Provides comprehensive and ongoing guidance, tools, and solutions to support the firm's growth, including scalable data platform infrastructure and engineering best practices
- Makes significant contributions to JPMorganChase's site reliability community via internal forums, communities of practice, guilds, and conferences
- Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., testing/validation automation and production readiness), ensuring traceability/auditability, resiliency, and security controls across application and data platform environments
Required qualifications, capabilities, and skills
- Formal training or certification on site reliability engineering concepts and 5+ years applied experience
- Brings an advanced understanding of site reliability culture and principles and a track record of demonstrating how to implement site reliability within applications, platforms, or large-scale data systems, including strong understanding of SLI/SLO/SLA and error budgets
- Advanced knowledge and experience in observability such as white and black box monitoring, service level objectives, alerting, and telemetry collection across distributed and data platform environments, including tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows with strong validation habits and awareness of data sensitivity
- Ability to set team practices for safe AI usage in operations (e.g., review/approval expectations and escalation paths) while maintaining resiliency, security, and auditability outcomes, ensuring compliance with risk controls and company-wide standards
- Advanced knowledge of software applications and technical processes, including distributed systems, system design, resiliency, testing, operational stability, and disaster recovery, with considerable depth in one or more technical disciplines
- Demonstrated ability to communicate data-based solutions with complex reporting and visualization methods and collaborate effectively across teams to drive incident resolution and improvements
- Recognized as an active contributor of the engineering community
- Strong communication skills and a desire to mentor and educate others on site reliability engineering principles and practices while building strong cross-functional relationships
Preferred qualifications, capabilities, and skills
- Experience with AWS platforms and managed data platforms such as Databricks, including platform administration and engineering support
- Experience in building and managing data pipelines using Spark or similar distributed compute frameworks
- Familiarity with big data ecosystem tools (e.g., Spark, Glue, MapReduce)
- Knowledge of containerization (Docker, Kubernetes) and orchestration frameworks
- Experience with CI/CD pipelines, automation frameworks, and infrastructure as code (e.g., Terraform)
- Proficiency in Python or similar programming languages for automation and platform development
- Familiarity with large-scale distributed systems and data processing environments
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries
ABOUT US
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 21 Data Manager Jobs in Jersey City
Find roles in Jersey City that match your experience and apply in just a few clicks.
Find Data Manager JobsData Manager Job Market in Jersey City
Who's Hiring
- JPMorganChase10
- Deloitte2
- Eikon Therapeutics2
- National Union Fire Insurance Company of Pittsburgh, Pa.2
- AIG1
Top Industries Hiring
- Investment & Asset Management9
- Banking & Financial Services8
- Fintech7
- Accounting & Auditing2
- Biotechnology & Pharmaceuticals2
Data Manager Jobs in Jersey City: Frequently Asked Questions
How do I get a data manager job in Jersey City?
The strongest path into Jersey City's data manager market runs through its dense financial services corridor and the growing healthcare IT firms clustered near the waterfront and Journal Square. Candidates who combine data governance experience with familiarity in regulated industries, such as banking or insurance, stand out locally. Targeting mid-size fintech firms and hospital network operations teams in Jersey City gives you the best entry points.
Which companies hire data managers in Jersey City?
Companies currently hiring data managers in Jersey City include JPMorganChase, Deloitte, and Eikon Therapeutics, per current listings on Migrate Mate as of July 2026. Jersey City's employer base skews heavily toward financial institutions, insurance carriers, and healthcare networks, all of which maintain large data operations teams locally.
Are there remote data manager jobs in Jersey City?
Yes, though availability depends on the role type. Data manager positions that are heavily analytical or governance-focused tend to support remote work, while those tied to on-site infrastructure or lab systems typically require in-person presence. About 0% of data manager openings tied to Jersey City are remote or hybrid as of July 2026, with hybrid arrangements most common among the financial services and insurance employers concentrated in the Newport area.
How can I get a data manager job in Jersey City with little or no experience?
The most realistic entry path in Jersey City is moving into a data manager role from a data analyst or database coordinator position at one of the city's many financial services or healthcare IT employers. Jersey City's back-office operations teams at insurance carriers and regional banks regularly hire entry-level data coordinators who build toward management. Demonstrating hands-on experience with SQL, data quality tools, or CRM platforms gives candidates a concrete edge in local interviews.
Which industries hire the most data managers in Jersey City?
The sectors hiring the most data managers in Jersey City are Investment & Asset Management, Banking & Financial Services, and Fintech, based on current listings on Migrate Mate as of July 2026. Jersey City's position as a major back-office and operations hub for New York-area financial institutions and healthcare networks drives consistent, high-volume demand for data management professionals locally.
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