Senior Data Modeler

Description
Senior Data Modeler

Location: Remote (Apopka, Florida)

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world’s leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Practice – AIA – Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate , and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data, and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Role:

The Senior Data Modeler should have graph database data modeling knowledge (GraphDB) and is responsible for creating enterprise grade semantic data models. The semantic data modeler will engage with business teams to understand requirements, work with data engineering teams to develop core EDW models to support those requirements, and develop the semantic models. This position will also partner with report developers to ensure existing enterprise reporting use can be leveraged.

Qualifications:

• Experience working within Life Science, Pharmaceutical, or R & D domain.
• Understand requirements and put into designs for data messaging / streaming process ontologies
• Must have Experience in Graph database for recording ontologies used of mapping source-to-targets
• Define architecture and provide designs for end-to-end solution
• Work with business teams across the enterprise to gather and document requirements for semantic models
• Develop semantic models.
• Experience in creating working sql from the selected values in the visual query builder, saves the sql query with a query id, submits the query to the query engine of choice (Databricks, Snowflake, Marklogic, API, etc) and returns the result to the user.

Responsibility:
Data Modeling

• Analyze client’s requirements gathered by the BAs/ SMEs.

• Create the conceptual model based on the understanding of the business processes.

• Provide technical guidance to the team to define the logical model (capturing the descriptions of entities, tables, columns etc) based on the conceptual model.

• Interact with SMEs (business) and Architect to validate whether the data model is aligned with the technology suggested for the project.

• Identify ways to design model to optimize the hardware usage.

• Create industry standard data model in collaboration with SMEs, if required.

• Define the standards for modeling, attributes and their naming conventions and share the same with the team.

• Conduct discussions with the SMEs to create highlevel model design Assist the data mapping team in mapping source fields to attributes in the model and expanding the model as needed.

• In collaboration with the data governance team, define the data governance model, if required.

• Create a detailed mapping of the identity if required.

• Review the physical data models created by the data modeler, if required.

• New Solution Conceptualization.

• Provide inputs to the Sr Architect to buy or make solutions/ products or to evaluate multiple products/ tools to identify the best fit for the proposed solution.

• Requirements Definition and Analysis.

• Based on the analysis of requirements and other parameters (eg cost , contract length, hardware), identify the different options available.

• Create conceptual model to analyze the feasibility of the requirement.

• Solution Definition.

• Provide inputs to the Sr Architect in defining highlevel architecture, business logic, functionality requirements, data model and integration with other systems.

• Project support.

• Conduct sessions with the client on the implemented data model and its benefits.

• Provide technical guidance to the team facing complex technical issues related to data model in the course of project delivery.

• Sales Support.

• Conduct a gap analysis to highlight the pros and cons of different approaches (customize the current model or adopt the industry standard model) based on understanding of the requirements.

• Identify the best fit solution and seek review inputs from the lead modeler on the same.

• Create a conceptual model to test feasibility of the proposed solution.

• Provide inputs to the Project Manager on the resource planning, estimation etc for the proposal.

• Stakeholder Management.

• Monitor the concerns of internal stakeholders, follow through on commitments and achieve timely resolution of issues.

• Work to expand professional network in the client organization.

• Share business value of services to win engagement.

• Innovation & Thought Leadership.

• Incubate new products/ tools/ concepts.

• Build business scenarios to showcase customers on new concept benefits which translates into new business.

• Publish whitepapers to drive thought leadership.

• Understand customer’s business and explore new avenues to create efficient data models.

• Introduce synergies between various teams to integrate various platforms (if required).

• IP Building & Management.

• Prepare documentation for all the components of the new concept (including the h/w, s/w requirements, nutshell, design, plan ).

• Market Scan & Brand Building.

• Scan the market to understand market trends.

• Identify key trends and forecasts in the industry.

• Conduct research on industry specific solutions and new platforms if required.

• Participate in seminars /conferences.

• Knowledge Management.

• Create knowledge articles (industry Point of View, Case studies, lessons learnt document, problem, workaround solutions, best practices 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.

Must Have Skills

• ER Modeling

Good To Have Skills

• Data Modeler

• Communication Skills

Salary and Other Compensation:

The annual salary for this position is between $84,190.00 – 131,870.00 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment.

Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.

Qualifications
Technical Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 ER Modeling PL4 Required 2 Data Modeler PL1 Desired

Domain Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Communication Skills NA Desired

* Proficiency Legends
Proficiency Level Generic Reference PL1 The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels. PL2 The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects. PL3 The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects. PL4 The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.