Job Location: Springdale, AR
We are Cognizant Artificial Intelligence
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
***No H1 Transfer or sponsorship available for this opportunity***
Job Title: Lead Data Modeler
Qualification:
Bachelors in science , engineering or equivalent
Responsibility:
Data modeling
- Understand data requirements, data source systems and fields (from Designer team/ BA).
- Understand the reporting and analytical needs required for the project and seek clarification.
- Divide work among team based on many factors such as experience, domain knowledge etc.
- Define and monitor adherence to standards Cognizant, client and industry (naming convention, types of deliverables, how models are laid in the diagram etc).
- Identify best tools to use and recommend to the client as required.
- In case of standard industry models being used, identify customizations to the model based on requirements.
- In case of custom developed model, define a high level conceptual model including major entities, subject area etc and conduct requirements and analysis sessions to discuss same with the team.
- Provide technical guidance to team to develop the conceptual model further.
- Review the model developed by the team.
- Conduct walkthrough with BA/ business SME/ ETL team/ DBA administrators/ data architect to seek validation.
- Post validation, guide team to create the logical/ first level physical model and review.
- Transition the first level physical data model to the DBA for tweaking model based on DBMS (Database Management Systems) and finalize.
- Work collaboratively with the DBA, to define the indexing and partitioning based on the access requirements and determine where denormalization is required.
- Perform transition of the model to physical database independently or seek support from the team as required.
- Communicate the complexity of the design/ details of the model to all relevant stakeholders.
- Consulting Projects conduct gap analysis on client’s existing model and provide recommendations/ advice to the client (pros and cons, scalability, relevance etc).
- Data Profiling.
- Review the results of profiling conducted by the team/ Designer/ ETL team and provide feedback to better understand the data requirements and ensure fields defined are sufficient and atomic.
- Incorporate the data profiling results while designing/ reviewing data models.
- New Solution Conceptualization.
- Understand the typical sources used, information available.
- Analyze requirement and harvest information on process, model, methodology, source systems etc from other client work.
- Research on new technological advancements and analyze how the model can be adopted.
- Create industry standard data model (logical model) along with the support from team members.
- Seek validation from relevant stakeholders.
- Conduct training sessions to build awareness (as required).
- Project support.
- Create resource estimates required for the project.
- Divide workload among team members based on various factors.
- Provide ongoing status to the Project Manager/ relevant stakeholders/ Client.
- Interact with other streams and coordinate to get work done.
- Collate statistics/ information related to metrics/ SLAs from time to time for status reports/ feedback etc.
- Sales support.
- Based on the project/ RFP requirement, estimate cost and recourses required.
- Identify methodology, approach to be followed.
- Create slides on input needed, process, sample deliverables, case studies and capability required for the respective section of RFP.
- Innovation & Thought leadership.
- Provide feedback to vendors (informal network).
- Create white papers, presentations, training material, articles etc and share that knowledge by conducting various sessions (internally).
- Create industry standard models, modeling methodologies, assessment methodologies if required.
- Market Scan & Brand Building.
- Showcase capability on industry standard models available in RFPs, client presentations etc.
- People Management.
- Understand aspirations of team members.
- Set goals for team members and monitor performance.
- Guide the employee in setting career paths.
- Coordinate with the different stakeholders in understanding how the employee can better contribute to the project, seek feedback and address concerns.
- Conduct performance appraisal for team members.
- Recommend team members for promotion.
- Support organization level activities such as recruitment by conducting technical facetoface interviews.
Must Have Skills
- BigQuery
- Data Modeler
#LI-PT1 #CB #Ind123
Employee Status : Full Time Employee
Shift : Day Job
Travel : No
Job Posting : Apr 06 2022
About Cognizant
Cognizant (Nasdaq-100: CTSH) is one of the world’s leading professional services companies, transforming clients’ business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @USJobsCognizant.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
If you have a disability that requires a reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
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