Data Modeling Analyst, Sr. jobs in Atlantic City, NJ
Data Modeling Analyst, Sr. develops data models to meet the needs of the organization's information systems. Manages the flow of information between departments through the use of relational databases. Being a Data Modeling Analyst, Sr. maintains data integrity by working to eliminate redundancy. Stays informed of the ways the organization uses its data. Additionally, Data Modeling Analyst, Sr. requires a bachelor's degree. Typically reports to a manager. To be a Data Modeling Analyst, Sr. typically requires 4 to 7 years of related experience. Contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature. (Copyright 2024 Salary.com)
Recently Added Data Modeling Analyst, Sr. jobs
Director, Ontology and Data Modeling
- Jobs for Humanity
-
Atlantic, NJ
FULL_TIME
-
Job Description
Center 3 (19075), United States of America, McLean, Virginia
Director, Ontology and Data Modeling
The role of the Director of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.
The Director of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Director of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.
The Director of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.
Primary Responsibilities
Immerse yourself in knowing your internal and/or external customer(s) by employing empathy and design thinking to define broad-scale semantic solutions that provide breakthrough leverage
Model adaptability by encouraging continuous evolution to semantic strategy in light of industry trends, emerging solutions, new insights and changing customer and business needs
Learn the financial drivers, externalities, and points of leverage within your domain to identify new solutions or enhancements that drive sustainable value for Capital One
Promote a culture anchored in data, used to model reality of intent and usage, validate outcomes, drive insights, and manage the business both tactically and strategically
Foster a strong agile discipline and inspire teams to continuously improve delivery evidenced through key agility metrics
Partner with Technology leaders to influence end-state architecture and drive secure, resilient, performant and scalable technology solutions that solve material customer and business problems
Govern the responsible and efficient application of technology and modeling resources by assessing opportunities for reusing existing solutions, clearly defining minimum viable products, and always building/modeling with extensibility in mind
Establish a long-term Semantics portfolio strategy, informed by customer and business needs, and partner with leaders and stakeholders to regularly drive alignment, secure resources and overcome impediments
Attract, grow, empower, and inspire top Ontology and Data Modeling talent as they develop and deliver on their local strategy in an iterative, outcome-focused and well-managed way
Role-Based Competencies
Intellectually Curious. You’re comfortable navigating between the big ideas and executional realities to create an achievable strategic semantics vision. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges.
Communicator & Influencer. You’re comfortable influencing a group of executives as well as communicating your semantics vision clearly to your associates and partners. You can be open to different communication styles and listen carefully to diverse sets of ideas.
Do-er. You’re biased toward action, and are willing to make commitments and trade-offs with other leaders to remove impediments for your team; you are a leader obsessed with delivering valuable in an iterative way focusing in minimum viable product
Passionate & Customer Focus. You care about growing others and bringing them together around what’s possible. You have a desire and ability to connect with our external or internal customers to fully understand their needs and build long lasting relationships.
Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when exploring unknown technologies; you will seek for internal solutions before building new
Team Player. You enjoy working with diverse people and driving the team toward a common goal. You are also able to coach others and be a mentor in Ontology and Data Modeling.
Basic Qualifications
Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
At least 8 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
At least 8 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)
At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
Preferred Qualifications
Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
6 years of experience translating business strategy and analysis into enterprise semantic solutions
Familiarity with SQL or SPARQL
Familiarity with graph databases and technologies
Familiarity with Python or R
Familiarity with JSON, OpenAPI/YAML, AVRO
Familiarity with Agile principles, processes, and methodologies
Familiarity with Amazon Web Services
Detail-oriented and an ability to problem-solve independently
Strong reading and writing skills
Strong project management experience
Excellent communication skills and the ability to present ideas clearly and with confidence.
Ability to work individually and with a team to meet deadlines
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York City (Hybrid On-Site): $228,500 - $260,800 for Director, Ontology and Data Modeling
San Francisco, California (Hybrid On-Site): $242,100 - $276,300 for Director, Ontology and Data Modeling
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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Business Intelligence Analyst III
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-
Folsom, NJ
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Sr. Database Analyst
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-
Egg Harbor Township, NJ
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Egg Harbor Township, NJ
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Egg Harbor Township, NJ
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Egg Harbor Township, NJ
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Atlantic City, NJ
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Egg Harbor Township, NJ
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About Atlantic City, New Jersey
Atlantic City is a resort city in Atlantic County, New Jersey, United States, known for its casinos, boardwalk, and beaches. In 2010, the city had a population of 39,558.[21][22] It was incorporated on May 1, 1854, from portions of Egg Harbor Township and Galloway Township.[23] It borders Absecon, Brigantine, Pleasantville, Ventnor City, Egg Harbor Township, and the Atlantic Ocean.
Atlantic City inspired the U.S. version of the board game Monopoly, especially the street names. Since 1921, Atlantic City has been the home of the Miss America pageant. In 1976, New Jersey voters legalized casino g...
Source: Wikipedia (as of 04/11/2019). Read more from Wikipedia
Income Estimation for Data Modeling Analyst, Sr. jobs
$123,414 to $157,455
Atlantic City, New Jersey area prices
were up 1.5% from a year ago
were up 1.5% from a year ago
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