4,367 Data Modeling jobs in India
Data Modeling
Posted today
Job Viewed
Job Description
Mandatory Skills
Strong Data Analysis and/or Data Modeling experience of 8-12 years.
Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
Comprehensive understanding of the Data Modeling conceptual, logical, and physical, create and deliver high-quality data models, by following agreed data governance and standards.Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast paced and continuously changing environment.
Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
Other Skills and Tools SQL, MS Office tools, GCP Big Query, Erwin, Visual Paradigm preferable.
Responsibilities
Support the delivery of complex transformation program development within data portfolio.
Work within agile multi-skilled teams to create world class products to serve our customers needs.
Perform the elicitation and analysis of business change, functional and non functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
Understand the user journey end to end which goes beyond the system.
Provide advanced business knowledge and technical support for requirements development.
Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
Create and maintain the data models.
Primary Location Hyderabad, Andhra Pradesh, India Job Type Experienced Primary Skills Data Modelling for Analytical (OLAP) Years of Experience 6 Qualification
GDT WPB DF Data Expert JD:
Mandatory Skills
Strong Data Analysis and/or Data Modeling experience of 8-12 years.
Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
Comprehensive understanding of the Data Modeling conceptual, logical, and physical, create and deliver high-quality data models, by following agreed data governance and standards.Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast paced and continuously changing environment.
Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
Other Skills and Tools SQL, MS Office tools, GCP Big Query, Erwin, Visual Paradigm preferable.
Responsibilities
Support the delivery of complex transformation program development within data portfolio.
Work within agile multi-skilled teams to create world class products to serve our customers needs.
Perform the elicitation and analysis of business change, functional and non functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
Understand the user journey end to end which goes beyond the system.
Provide advanced business knowledge and technical support for requirements development.
Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
Create and maintain the data models.
Data Modeling
Posted today
Job Viewed
Job Description
**Experience - 8-10 Years**
**Job location - **Pune-Magarpatta/ Indore**
**Must Have**:
- 8-10 years of Senior data modelling resource who interfacing with business directly
- Drive the calls by asking the right questions to the business.
- Hands on Modelling experience
- Dim/Fact Modelling experience
- Strong communication skills
**Good to Have**:
- Data Vault Modelling
**Roles and Responsibilities**
- Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads.
- Design and implement reliable, scalable, robust, and extensible big data systems that support core products and business.
- Ensure the consistency, availability, understanding, and performance of data by following and improving best practices and standards for data modelling.
Job Description Must Have: - 8-10 years of Senior data modelling resource who interfacing with business directly - Drive the calls by asking the right questions to the business. - Hands on Modelling experience - Dim/Fact Modelling experience - Strong communication skills Good to Have: - Data Vault Modelling Roles and Responsibilities - Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models. - Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads. - Design and implement reliable, scalable, robust, and extensible big data systems that support core products and business. - Ensure the consistency, availability, understanding, and performance of data by following and improving best practices and standards for data modelling.
Data Modeling
Posted today
Job Viewed
Job Description
Mandatory Skills
Data Modeling
Job Description of the Data Modeler Role
The Data Modeler will work towards design and implementation of new data structures to support the project teams delivering on ETL, Data warehouse design, managing the enterprise data model, the maintenance of the data, and enterprise data integration approaches.
Technical Responsibilities
- Build and maintain out of standards data models to report disparate data sets in a reliable, consistent and interpretable manner.
- Gather, distil and harmonize data requirements and to design coherent Conceptual, logical and physical data models and associated physical feed formats to support these data flows.
- Articulate business requirements and build source-to-target mappings having complex ETL transformation.
- Write complex SQL statements and profile source data to validate data transformations.
- Contribute to requirement analysis and database design - Transactional and Dimensional data modelling. Normalize/ De-normalize data structures, introduce hierarchies and inheritance wherever required in existing/ new data models.
- Develop and implement data warehouse projects independently.
- Work with data consumers and data suppliers to understand detailed requirements, and to propose standardized data models.
- Contribute to improving the Data Management data models.
- Be an influencer to present and facilitate discussions to understand business requirements and develop dimension data models based on these capabilities and industry best practices.
**Requirements**:
- Extensive practical experience in Information Technology and software development projects of with at least 8+ years of experience in designing Operational data store & data warehouse.
- Extensive experience in any of Data Modelling tools - Erwin/ SAP power designer.
- Strong understanding of ETL and data warehouse concepts processes and best practices.
- Proficient in Data Modelling including conceptual, logical and physical data modelling for both OLTP and OLAP.
- Ability to write complex SQL for data transformations and data profiling in source and target systems
- Basic understanding of SQL vs NoSQL databases.
- Possess a combination of solid business knowledge and technical expertise with strong communication skills. Demonstrate excellent analytical and logical thinking.
- Good verbal & written communication skills and Ability to work independently as well as in a team environment providing structure in ambiguous situation.
Good to have
- Understanding of Insurance Domain
- Basic understanding of AWS cloud
- Good understanding of Master Data Management, Data Quality and Data Governance.
- Basic understanding of data visualization tools like SAS VA, Tableau
- Good understanding of implementing & architecting data solutions using the informatica, SQL server/Oracle
**Your future duties and responsibilities**
**Required qualifications to be successful in this role**
**Together, as owners, let’s turn meaningful insights into action.**
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
Data Modeling - BLR
Posted today
Job Viewed
Job Description
We are seeking a skilled Data Engineer with expertise in Data Modeling, SQL, Snowflake, Python, AWS, and NoSQL . The ideal candidate will be responsible for designing and implementing scalable data solutions, ensuring efficient data storage, retrieval, and processing. Experience in NoSQL Data Modeling is a plus.
Key Responsibilities:Location: Bangalore
Experience: 6-9 Years
Data Engineer-Data Modeling
Posted 5 days ago
Job Viewed
Job Description
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
* Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
* In this role, your responsibilities may include:
* Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
* Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
* Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
**Required technical and professional expertise**
* 4+ years of experience in data modelling, data architecture.
* Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems
* Familiarity with different data models like relational, dimensional and NoSQl databases.
* Understanding of business processes and how data supports business decision making.
* Strong understanding of database design principles, data warehousing concepts, and data governance practices
**Preferred technical and professional experience**
* Excellent analytical and problem-solving skills with a keen attention to detail.
* Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
* Knowledge of programming languages such as SQL
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer-Data Modeling
Posted 5 days ago
Job Viewed
Job Description
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
* Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
* In this role, your responsibilities may include:
* Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
* Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
* Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
**Required technical and professional expertise**
* 4+ years of experience in data modelling, data architecture.
* Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems
* Familiarity with different data models like relational, dimensional and NoSQl databases.
* Understanding of business processes and how data supports business decision making.
* Strong understanding of database design principles, data warehousing concepts, and data governance practices
**Preferred technical and professional experience**
* Excellent analytical and problem-solving skills with a keen attention to detail.
* Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
* Knowledge of programming languages such as SQL
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
R&D Data Modeling Manager
Posted 5 days ago
Job Viewed
Job Description
Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients' daily life, wherever they live and enabling them to enjoy a healthier life.
As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health.
The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable).
**Position Summary:**
The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability.
**Main responsibilities:**
+ Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D)
+ Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives
+ Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models
+ Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions
+ Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company's environment
+ Understand data governance policies, standards and procedures for R&D data
+ Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements
+ Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation
+ Evaluate and influence projects while serving as "voice-of-business"; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state
+ Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations
+ Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions
+ Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc.
**Deliverables**
+ Conduct requirements gathering from business analysts, data scientists, and other stakeholders
+ Formulate strategies, and query optimizations to enhance data retrieval speed
+ Develop complex and scalable data models aligned to organization's long term strategic goals
+ Formulate data governance frameworks, policies, and standards
+ Establish best practices for data modeling ensuring interoperability among systems, applications & data sources
_3._ _About you_
+ **Experience** :5+years of experience in business data management, information architecture, technology or other related field
+ **Functional** **skills:**
+ Demonstrated ability to understand end-to-end data use and business needs
+ Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc)
+ Experience with creating and applying data modelling best practices and naming conventions
+ Strong analytical problem-solving skills
+ Demonstrated strong attention to detail, quality, time management and customer focus
+ Excellent written and oral communications skills
+ Strong networking, influencing and negotiating skills and superior problem-solving skills
+ Demonstrated willingness to make decisions and to take responsibility for such
+ Excellent interpersonal skills (team player)
+ **Technical Skills**
+ Experience with data management practices and technologies (e.g., Collibra, Informatica etc)
+ Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity
+ Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required
+ Experience in big data infrastructures (E.g., Hadoop, NOSQL etc)
+ Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements
+ Experience managing technology and/or data warehouse projects
+ Familiarity with relationship databases and entity-relationship data modelling
+ Experience with hierarchical data models from conceptualization to database optimization
+ **Education** : Bachelor's in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferred
+ **Languages** : English
**Pursue** _Progress_ . **Discover** _Extraordinary_ .
Progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let's pursue progress. And let's discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
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Data Modeling Advisor - HIH - Evernorth
Posted 5 days ago
Job Viewed
Job Description
About Evernorth:
Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people.
Data Modeling Advisor
Position Summary:
The Health Services Data Design and Metadata Management team is hiring an Architecture Senior Advisor to work across all projects. The work involves understanding and driving data design best practices, including data modeling, mapping, and analysis, and helping others to apply them across strategic data assets. The data models are wide-ranging and must include the appropriate metadata to support and improve our data intelligence. Data design centers around standard health care data (eligibility, claim, clinical, and provider data) across structured and unstructured data platforms.
Job Description & Responsibilities:
+ Perform data analysis, data modeling, and data mapping following industry and Evernorth data design standards for analytics/data warehouses and operational data stores across various DBMS types, including Teradata, Oracle, Cloud, and Hadoop, Databricks and datalake.
+ Perform data analysis, profiling and validation, contributing to data quality efforts to understand data characteristics and ensure data correctness/condition for use.
+ Participate in and coordinate data model metadata development processes to support ongoing development efforts (data dictionary, NSM, and FET files), maintenance of data model/data mapping metadata, and linking of our data design metadata to business terms, data models, mapping documents, ETL jobs, and data model governance operations (policies, standards, best practices).
+ Facilitate and actively participate in data model/data mapping reviews and audits, fostering collaborative working relationships and partnerships with multidisciplinary teams.
+ Provide guidance, mentoring, and training as needed in data modeling, data lineage, ddl code, and the associated toolsets (Erwin Data Modeler, Erwin Web Portal, Erwin model mart, Erwin Data Intelligence Suite, Alation). Assist with the creation, documentation, and maintenance of Evernorth data design standards and best practices involving data modeling, data mapping, and metadata capture including data sensitivity, data quality rules, and reference data usage. Develop and facilitate strong partnerships and working relationships with Data Governance, delivery, and other data partners. Continuously improve operational processes for data design metadata management for global and strategic data.
+ Interact with Business stakeholders and IT in defining and managing data design. Coordination, collaboration, and innovation with Solution Verticals, Data Lake teams, IT & Business Portfolios to ensure alignment of data design metadata and related information with ongoing programs (cyber risk and security) and development efforts.
Experience Required:
+ 11 to 13 years' experience with data modeling (logical / physical data model, canonical structures, etc.) and SQL code;
+ Experience Desired:
+ Subject matter expertise level experience preferred
+ Experience executing data model / data lineage governance across business and technical data.
+ Experience utilizing data model / lineage / mapping / analysis management tools for business, technical and operational metadata (Erwin Data Modeler, Erwin Web Portal, Erwin Model Mart, Erwin Data Intelligence Suite, Alation
+ Experience working in an Agile delivery environment (Jira, Confluence, SharePoint, Git, etc.)
Education and Advanced Training Required:
+ ?degree in Computer Science or a related discipline and at least six, typically eight or more years' experience in all phases of data modeling, data warehousing, data mining, data entity analysis, logical data base design and relational data base definition, or an equivalent combination of education and work experience.
Primary Skills:
+ Physical Data Modeling, Data Warehousing, Metadata, Reference Data, Data Mapping
+ Data Mining, Teradata, Data Quality, Excellent Communication Skills, Data Analysis, Oracle
+ Data Governance, Database Management System, Jira, DDL, Data Integration, Microsoft, SharePoint, Database Modeling, Confluence, Agile, Marketing Analysis, SharePoint, Operations, Topo, Data Lineage, Data Warehouses, Documentation
+ Big Data, Web Portal, Maintenance, Erwin, SQL, Unstructured Data, Audit, Git, Pharmacy
DBMS, Databricks, AWS
+ Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
Location & Hours of Work:
+ Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate.
+ Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.
+ Equal Opportunity Statement:
+ Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
+ General Shift (11:30 AM - 8:30 PM IST / 1:00 AM - 10:00 AM EST / 2:00 AM - 11:00 AM EDT)
?Equal Opportunity Statement
+ Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
**About Evernorth Health Services**
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
R&D Data Modeling Manager
Posted today
Job Viewed
Job Description
Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life.
As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health.
The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D datastrategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D.Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data areFAIR (findable, accessible, interoperable, and reusable).
Position Summary:
The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability.
Main responsibilities:
Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D)
Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives
Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models
Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions
Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment
Understand data governance policies, standards and procedures for R&D data
Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements
Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation
Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state
Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations
Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions
Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc.
Deliverables
Conduct requirements gathering from business analysts, data scientists, and other stakeholders
Formulate strategies, and query optimizations to enhance data retrieval speed
Develop complex and scalable data models aligned to organization’s long term strategic goals
Formulate data governance frameworks, policies, and standards
Establish best practices for data modeling ensuring interoperability among systems, applications & data sources
Experience :5+years of experience in business data management, information architecture, technology or other related field
Functional skills:
Demonstrated ability to understand end-to-end data use and business needs
Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc)
Experience with creating and applying data modelling best practices and naming conventions
Strong analytical problem-solving skills
Demonstrated strong attention to detail, quality, time management and customer focus
Excellent written and oral communications skills
Strong networking, influencing and negotiating skills and superior problem-solving skills
Demonstrated willingness to make decisions and to take responsibility for such
Excellent interpersonal skills (team player)
Technical Skills
Experience with data management practices and technologies (e.g., Collibra, Informatica etc)
Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity
Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required
Experience in big data infrastructures (E.g., Hadoop, NOSQL etc)
Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements
Experience managing technology and/or data warehouse projects
Familiarity with relationship databases and entity-relationship data modelling
Experience with hierarchical data models from conceptualization to database optimization
Education : Bachelor’s in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferred
Languages : English
Pursue . Discover .
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our and check out our Diversity Equity and Inclusion actions at !
Pursue , discover
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our and check out our Diversity Equity and Inclusion actions at !