Modeler jobs in United States, New Jersey, Jersey City
JPMorgan Financial Planning Analysis Data Modeler Vice President United States, New Jersey, Jersey City
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Information Architecture within Corporate Financial Analysis (FA) is working to build scalable, end-to-end data products that enable centralized, self-service data sourcing through an array of consumption patterns optimized for Planning and Analysis (P&A) functions.
As a Data Domain Modeler in Transformation & Innovation team you will lead the design and implementation of end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for different persona ranging from: finance users, data analysts, automation, quantitative research and machine learning teams. Being part of an influential and data-centric team focused on data accessibility you will work on designing new data models for domains such as headcount, contractors, financials, forecasting models, markets, and macro-economic scenarios. You will also represent the data domains in the overall information architecture strategy to optimize data models for end user consumption, identify data homogenization opportunities, and optimize data pipelines in our data lake-house.
You will lead the engagement and partner with product owners, business users (both technical and non-technical), data providers, and technology teams across the entire finance function to design and deliver data products.
Job responsibilities
- Work on some of the most complex and highly visible data problems in finance, at the intersection of finance and technology
- Design and build new cloud based data lakehouse for the P&A community, leveraged by Analysts to CFO for their day to day reporting
- Work on wide range of data sets and use case to support different Planning & Analysis processes, and personally lead and drive the design of them
- Create solutions for key data challenges and implements innovative technology-based solutions at the bank such as enterprise data catalog, and AI-enabled conversational analytics
- Partner with other high-performing teams within JPM to inspire innovation and champion change throughout the bank
Required qualifications, capabilities, and skills
- Strong analytical and problem solving skills with attention to details to formulate effective data models to address users consumption pain points, and to lead their delivery
- Curious mind to dig deep into the business and data to understand the context: Inquisitive and analytical mindset, challenges the status quo, and strive for excellence
- 5+ years of relevant experience designing and implementing data models and analytic solutions using dimensional and relational data models
- Hands-on and flexible approach to creating solutions aligned to the tools and skills of the client user. Strong communication skills to present data products and educate data consumers
- Strong knowledge and experience using SQL & Python for data analysis, data engineering, and transformation to answer business questions
- Experience with ETL / ELT process and architecture to move data across pipelines in a lake
- Experience building analytics dashboard or building models suited for interactive dashboard consumption
- Experience with cloud-based data lake platforms such as AWS, Azure or Google Cloud
- Bachelor’s degree in computer science, data science, information systems, business analytics, or related discipline
Preferred qualifications, capabilities, and skills
- Experience with Databricks and Pyspark
These jobs might be a good fit
JPMorgan Senior Lead Data Modeler United States, New Jersey, Jersey City
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Job Summary:
As a Senior Lead Data Modeler you will be responsible for designing, implementing, and maintaining sophisticated data models and information architecture frameworks that support business objectives, with a strong emphasis on data warehousing, semantic modeling, and dimensional modeling. This role requires a deep understanding of data architecture principles and the ability to translate complex business requirements into scalable and efficient data solutions. The Senior Data Modeler/Senior Information Architect will leverage the latest trends in data modeling, including data mesh, data fabric, and AI-driven modeling techniques, to optimize data processes and drive data-driven decision-making.
Key Responsibilities:
- Design and develop advanced data models and information architecture frameworks that meet business requirements and adhere to industry best practices, focusing on data warehousing, semantic modeling, and dimensional modeling techniques.
- Collaborate with business analysts, data engineers, and other stakeholders to gather and analyze data requirements.
- Create detailed modeling requirements and meta models to ensure comprehensive representation of business needs and data structures.
- Implement data modeling solutions using tools such as ERwin, PowerDesigner, or similar, with a focus on creating robust data warehouse architectures.
- Develop conceptual, logical, and physical data models to represent business requirements and data structures effectively.
- Integrate modern data modeling approaches such as data mesh and data fabric to enhance data accessibility and governance.
- Utilize AI-driven modeling techniques to automate and optimize data model creation and maintenance.
- Introduce, enhance, and govern data modeling practices within the software development lifecycle (SDLC) to ensure consistency, quality, and compliance in the data space.
- Ensure data models and information architecture frameworks are optimized for performance, scalability, and integration within the SDLC framework.
- Maintain and update existing data models and information architecture frameworks to accommodate changes in business needs and technology advancements.
Required qualification, capabilities and skills:
- Bachelor’s degree in Computer Science, Information Systems, or a related field; Master’s degree preferred.
- Minimum of 20 years of experience in data modeling, data architecture, or related roles.
- Extensive experience in Information Architecture, including data flow design, metadata management, and data lineage.
- Proven track record in developing and implementing comprehensive information architecture frameworks.
- Proficiency in data modeling tools, with significant experience in various ERwin versions and products, including ERwin Data Modeler, ERwin Data Intelligence, and ERwin Web Portal.
- Experience with multiple modeling tools such as DB Artisan, Embarcadero, and Hackolade data modeling tools.
- Strong understanding of relational and non-relational database systems, including NoSQL databases.
- Extensive experience with data warehousing, semantic modeling, and dimensional modeling.
- In-depth knowledge of AWS technologies and cloud-based data solutions, with a focus on delivering large-scale enterprise-class data platforms and data products.
- Familiarity with data mesh and data fabric concepts.
Preferred qualification, capabilities and skills:
- Experience in the financial services industry.
- Knowledge of big data technologies such as Hadoop, Spark, or similar.
- Experience with cloud-based databases such as Databricks, Snowflake, and Amazon Redshift.
- Certification in data modeling, data architecture, or AWS technologies.
- Experience in designing and implementing information architecture frameworks.
- Proven track record in establishing and maintaining data governance frameworks and processes.
- Proficiency with Jade products for data modeling and management.
- Experience with Integrated Customer Data Warehouse (ICDW) solutions.
- Expertise in Teradata for large-scale data warehousing and analytics.
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Citi Group Finance Lineage Data Modeler - VP City United States, New Jersey, Jersey City
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Responsibilities:
Trace lineage for client metrics across products and business lines
Design and maintain blueprint of lineage record tracing, logical data models and data quality rule recommendations
Develop conceptual, logical, and metadata solutions using JSON schema
Define model and rationalize target state logical data models, socialize with key stakeholders and conduct walkthrough
Unify data concepts across finance, product leads, credit risk, and applications across Citi
Participate in requirement gathering sessions with business leads, operations, SMEs, technologists and governance teams
Inventory lineage records to create end-to-end transparency and expose fragmented data functions for process simplification
Must be passionate on working with Data and haveanalytical/problem-solvingskills
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Qualifications:
6+ years hand-on experience in Data Architecture, Data Science and/or Data Modeling expertise
Must have hands on experience in developing large complex data models and building complex IT systems
Experience in CapitalMarkets/Banking/Retail/Researchdomains
Financial Industry knowledge in commercial banking, capital and investment banking and markets is a plus
Strong experience in relational modeling, UML modeling and metadata management tools
Experience in Modeling and architecture tools such as Magic Draw, Erwin, Enterprise Architect is a plus.
Expertise in Data Management methodologies involving architecture, modeling, storage, security
Good understanding of data governance - defining strategy, developing goals, principles and policies
Demonstrated influencing, facilitation and partnering skills
Track record of interfacing with and presenting results to senior management
Analytical, flexible, team-oriented and have goodinterpersonal/communicationskills
Education:
Bachelor’s degree/University degree or equivalent experience
Anticipated Posting Close Date:
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These jobs might be a good fit
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Information Architecture within Corporate Financial Analysis (FA) is working to build scalable, end-to-end data products that enable centralized, self-service data sourcing through an array of consumption patterns optimized for Planning and Analysis (P&A) functions.
As a Data Domain Modeler in Transformation & Innovation team you will lead the design and implementation of end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for different persona ranging from: finance users, data analysts, automation, quantitative research and machine learning teams. Being part of an influential and data-centric team focused on data accessibility you will work on designing new data models for domains such as headcount, contractors, financials, forecasting models, markets, and macro-economic scenarios. You will also represent the data domains in the overall information architecture strategy to optimize data models for end user consumption, identify data homogenization opportunities, and optimize data pipelines in our data lake-house.
You will lead the engagement and partner with product owners, business users (both technical and non-technical), data providers, and technology teams across the entire finance function to design and deliver data products.
Job responsibilities
- Work on some of the most complex and highly visible data problems in finance, at the intersection of finance and technology
- Design and build new cloud based data lakehouse for the P&A community, leveraged by Analysts to CFO for their day to day reporting
- Work on wide range of data sets and use case to support different Planning & Analysis processes, and personally lead and drive the design of them
- Create solutions for key data challenges and implements innovative technology-based solutions at the bank such as enterprise data catalog, and AI-enabled conversational analytics
- Partner with other high-performing teams within JPM to inspire innovation and champion change throughout the bank
Required qualifications, capabilities, and skills
- Strong analytical and problem solving skills with attention to details to formulate effective data models to address users consumption pain points, and to lead their delivery
- Curious mind to dig deep into the business and data to understand the context: Inquisitive and analytical mindset, challenges the status quo, and strive for excellence
- 5+ years of relevant experience designing and implementing data models and analytic solutions using dimensional and relational data models
- Hands-on and flexible approach to creating solutions aligned to the tools and skills of the client user. Strong communication skills to present data products and educate data consumers
- Strong knowledge and experience using SQL & Python for data analysis, data engineering, and transformation to answer business questions
- Experience with ETL / ELT process and architecture to move data across pipelines in a lake
- Experience building analytics dashboard or building models suited for interactive dashboard consumption
- Experience with cloud-based data lake platforms such as AWS, Azure or Google Cloud
- Bachelor’s degree in computer science, data science, information systems, business analytics, or related discipline
Preferred qualifications, capabilities, and skills
- Experience with Databricks and Pyspark
These jobs might be a good fit
