3,731 Data Modeling jobs in India

**Chennai | Hyderabad | Bangalore**
Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce.
We’re Great Place to Work-Certified. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

**Curious about the role? What your typical day would look like?**
As a Principal Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and an Architect as demanded by each project to define, design, and deliver actionable insights.
On a typical day, you might
- Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models.
- Suggest best modelling approach to the client based on their requirement and target architecture
- Analyse and understand the Datasets and guide the team in creating Source to Target Mapping and Data Dictionaries, capturing all relevant details
- Profile the Data sets to generate relevant insights
- Define Data Modelling Best Practices and ensure implementation of Best Practices across projects
- Optimize the Data Models and work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns
- Work with QE team to define the right testing strategy
- Drives automation in modeling activities
- Collaborate with Business Stakeholders, Data Owners, Business Analysts, Architects to design and develop next generation data platform
- Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc
- Guide /mentor team members, and review artifacts

**Job Requirement**

***

**What do we expect? Skills that we’d love!**
- Minimum 15 years of experience
- Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server)
- Good understanding of Relational, Dimensional, Data Vault Modelling
- Good experience in OLTP and OLAP systems
- Excellent Data Analysis skills
- Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse)
- Experience on one or more cloud platforms (e.g. AWS, Azure, GCP)
- Understanding of DevOps processes
- Hands-on experience in one or more Data Modelling Tools
- Good understanding of one or more ETL tool and data ingestion frameworks
- Understanding of Data Quality and Data Governance
- Good understanding of NoSQL Database and modeling techniques
- Good understanding of one or more Business Domains
- Understanding of Big Data ecosystem
- Understanding of Industry Data Models
- Hands-on experience in Python
- Experience in leading the large teams
- Good understanding of agile methodology
- Excellent Communication skills

**You are important to us, let’s stay connected!**-We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

**Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry

**Introduction**
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.

Donaldson is committed to solving the world’s most complex filtration challenges. Employing innovation and breakthrough solutions, we are advancing filtration for a cleaner world. We look for the best people to help us succeed, offering opportunities to learn, effect change, and make meaningful contributions at work and in our communities. This is a place where you can make a world of difference.

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Key Accountabilities:

- Lead, collaborate, or support global modeling/simulation projects with team members in NA, EMEA, and APAC.
- Adopt and utilize Donaldson processes to drive project execution on time, on budget and meeting/exceeding expectations.
- Champion as Subject Matter Expert in identified modeling technology area, including structural analysis (FEM), material characterization, anmulti-physics simulation.
- Respond to enterprise-wide modeling and simulation needs and offer consulting service, perform analysis during the different phases of the projects and support global product development engineering with design optimizations and sensitivity analysis.
- Drive improvements in associated modeling techniques to increase simulation accuracy and engineering know-how.
- Being innovative to come up with creative ideas and concepts in expansion of modeling & simulation role in different business verticals of Donaldson.
- Work independently and take logical and orderly approach to analyze the modeling & simulation issues/concerns, defining actions and executing the same to deliver results.

Education Qualification:

- Master’s or PhD Degree in Engineering, Mathematics, Physics, Materials and related fields.

Technical Competence & Skills:

- Knowledge in fundamentals of Solid mechanics is essential.
- Hands-on experience on any commercial simulation tool (ANSYS, COMSOL, other structural CAE tools)
- Ability to write simple code/macros (Python, Java, Matlab etc.) to customize & automate the tool.
- Ability to write high quality simulation report containing problem analysis along with countermeasure suggestions.

Leadership Competence:

- Collaboration skills
- drives collaborations with global teams & stakeholders while working on projects; and develops trusted long-term professional relationships.
- Strong communication skills
- ability to lead the technical discussions, both verbal and written, with global counterparts and leadership teams.
- Problem Solving skills
- ability to set Ideal & current situations, perform root cause analysis, identify effective countermeasure ideas along with action plan to achieve milestones.
- Learning Agility
- Self-motivated
- proactive in identifying the risks in projects and taking lead in solving the same quickly.

Relevant Experience:

- 2-6 years of relevant work experience primarily focused on performing virtual engineering & validation activities to add value in product design, evaluation of new concepts & technologies.
- Proven work experience on developing new simulation processes, correlation& validation, documentation and best practices and standardization activities
- Knowledge on Structural analysis through FEA techniques is desired.
- Knowledge of CFD/multi-phase/multi physics modeling & simulation is added advantage.

Others (% of travel, language, etc.):

- 10% travel
- Proficient in English (both written and verbal) with global team members.
- Able to work flexible hours.

Come make a World of Difference!

Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.

Job Description

Design and develop conceptual, logical, and physical data models  for OLTP and OLAP systems.

Collaborate with business analysts and data engineers to understand data requirements.

Ensure models support data governance , data quality , and data integration  standards.

Maintain and update data models as business needs evolve.

Create and manage metadata repositories  and data dictionaries .

Optimize data models for performance , scalability , and security .

Work with database administrators to implement models in relational and NoSQL databases.

Support ETL processes  and data warehousing  initiatives.

Proven experience in data modeling tools  (e.g., Erwin, SAP PowerDesigner, IBM InfoSphere).

Strong understanding of relational databases , dimensional modeling , and normalization techniques .

Experience with SQL , data warehousing , and ETL tools .

Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.

Excellent communication and documentation skills.

Required Technical/ Functional Competencies

Domain/ Industry Knowledge: 

Basic knowledge of customer's business processes- relevant technology platform or product.

Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.

Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Product/ Technology Knowledge:

Working knowledge of technology product/platform standards and specifications.

Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.

Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks:

Working knowledge of architecture Industry tools & frameworks.

Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.

Architecture concepts and principles :

Working knowledge of architectural elements, SDLC, methodologies.

Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design:

Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.

Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge:

Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies

Accountability:

Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration:

Shares information within team, participates in team activities, asks questions to understand other points of view.

Agility:

Demonstrates readiness for change, asking questions and determining how changes could impact own work.

Customer Focus:

Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.

Communication:

Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results:

Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.

Resolves Conflict:

Displays sensitivity in interactions and strives to understand others’ views and concerns.

Certifications

Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles

Flexible work arrangements, Free spirit, and emotional positivity

Agile self-determination, trust, transparency, and open collaboration

All Support needed for the realization of business goals,

Stable employment with a great atmosphere and ethical corporate culture

Job Description

Design and develop conceptual, logical, and physical data models  for OLTP and OLAP systems.

Collaborate with business analysts and data engineers to understand data requirements.

Ensure models support data governance , data quality , and data integration  standards.

Maintain and update data models as business needs evolve.

Create and manage metadata repositories  and data dictionaries .

Optimize data models for performance , scalability , and security .

Work with database administrators to implement models in relational and NoSQL databases.

Support ETL processes  and data warehousing  initiatives.

Proven experience in data modeling tools  (e.g., Erwin, SAP PowerDesigner, IBM InfoSphere).

Strong understanding of relational databases , dimensional modeling , and normalization techniques .

Experience with SQL , data warehousing , and ETL tools .

Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.

Excellent communication and documentation skills.

Required Technical/ Functional Competencies

Domain/ Industry Knowledge: 

Basic knowledge of customer's business processes- relevant technology platform or product.

Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.

Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Product/ Technology Knowledge:

Working knowledge of technology product/platform standards and specifications.

Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.

Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks:

Working knowledge of architecture Industry tools & frameworks.

Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.

Architecture concepts and principles :

Working knowledge of architectural elements, SDLC, methodologies.

Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design:

Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.

Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge:

Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies

Accountability:

Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration:

Shares information within team, participates in team activities, asks questions to understand other points of view.

Agility:

Demonstrates readiness for change, asking questions and determining how changes could impact own work.

Customer Focus:

Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.

Communication:

Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results:

Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.

Resolves Conflict:

Displays sensitivity in interactions and strives to understand others’ views and concerns.

Certifications

Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles

Flexible work arrangements, Free spirit, and emotional positivity

Agile self-determination, trust, transparency, and open collaboration

All Support needed for the realization of business goals,

Stable employment with a great atmosphere and ethical corporate culture

Job Description

Design and develop conceptual, logical, and physical data models  for OLTP and OLAP systems.

Collaborate with business analysts and data engineers to understand data requirements.

Ensure models support data governance , data quality , and data integration  standards.

Maintain and update data models as business needs evolve.

Create and manage metadata repositories  and data dictionaries .

Optimize data models for performance , scalability , and security .

Work with database administrators to implement models in relational and NoSQL databases.

Support ETL processes  and data warehousing  initiatives.

Proven experience in data modeling tools  (e.g., Erwin, SAP PowerDesigner, IBM InfoSphere).

Strong understanding of relational databases , dimensional modeling , and normalization techniques .

Experience with SQL , data warehousing , and ETL tools .

Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.

Excellent communication and documentation skills.

Required Technical/ Functional Competencies

Domain/ Industry Knowledge: 

Basic knowledge of customer's business processes- relevant technology platform or product.

Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.

Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Product/ Technology Knowledge:

Working knowledge of technology product/platform standards and specifications.

Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.

Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks:

Working knowledge of architecture Industry tools & frameworks.

Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.

Architecture concepts and principles :

Working knowledge of architectural elements, SDLC, methodologies.

Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design:

Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.

Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge:

Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies

Accountability:

Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration:

Shares information within team, participates in team activities, asks questions to understand other points of view.

Agility:

Demonstrates readiness for change, asking questions and determining how changes could impact own work.

Customer Focus:

Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.

Communication:

Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results:

Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.

Resolves Conflict:

Displays sensitivity in interactions and strives to understand others’ views and concerns.

Certifications

Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles

Flexible work arrangements, Free spirit, and emotional positivity

Agile self-determination, trust, transparency, and open collaboration

All Support needed for the realization of business goals,

Stable employment with a great atmosphere and ethical corporate culture

Job Description

Design and develop conceptual, logical, and physical data models  for OLTP and OLAP systems.

Collaborate with business analysts and data engineers to understand data requirements.

Ensure models support data governance , data quality , and data integration  standards.

Maintain and update data models as business needs evolve.

Create and manage metadata repositories  and data dictionaries .

Optimize data models for performance , scalability , and security .

Work with database administrators to implement models in relational and NoSQL databases.

Support ETL processes  and data warehousing  initiatives.

Proven experience in data modeling tools  (e.g., Erwin, SAP PowerDesigner, IBM InfoSphere).

Strong understanding of relational databases , dimensional modeling , and normalization techniques .

Experience with SQL , data warehousing , and ETL tools .

Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.

Excellent communication and documentation skills.

Required Technical/ Functional Competencies

Domain/ Industry Knowledge: 

Basic knowledge of customer's business processes- relevant technology platform or product.

Able to prepare process maps, workflows, business cases and simple business models in line with customer requirements with assistance from SME and apply industry standards/ practices in implementation with guidance from experienced team members.

Requirement Gathering and Analysis:

Working knowledge of requirement management processes and requirement analysis processes, tools & methodologies.

Able to analyse the impact of change requested/ enhancement/ defect fix and identify dependencies or interrelationships among requirements & transition requirements for engagement.

Product/ Technology Knowledge:

Working knowledge of technology product/platform standards and specifications.

Able to implement code or configure/customize products and provide inputs in design and architecture adhering to industry standards/ practices in implementation.

Analyze various frameworks/tools, review the code and provide feedback on improvement opportunities.

Architecture tools and frameworks:

Working knowledge of architecture Industry tools & frameworks.

Able to identify pros/ cons of available tools & frameworks in market and use those as per Customer requirement and explore new tools/ framework for implementation.

Architecture concepts and principles :

Working knowledge of architectural elements, SDLC, methodologies.

Able to provides architectural design/ documentation at an application or function capability level and implement architectural patterns in solution & engagements and communicates architecture direction to the business.

Analytics Solution Design:

Knowledge of statistical & machine learning techniques like classification, linear regression modelling, clustering & decision trees.

Able to identify the cause of errors and their potential solutions.

Tools & Platform Knowledge:

Familiar with wide range of mainstream commercial & open-source data science/analytics software tools, their constraints, advantages, disadvantages, and areas of application.

Required Behavioral Competencies

Accountability:

Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration:

Shares information within team, participates in team activities, asks questions to understand other points of view.

Agility:

Demonstrates readiness for change, asking questions and determining how changes could impact own work.

Customer Focus:

Identifies trends and patterns emerging from customer preferences and works towards customizing/ refining existing services to exceed customer needs and expectations.

Communication:

Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results:

Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets.

Resolves Conflict:

Displays sensitivity in interactions and strives to understand others’ views and concerns.

Certifications

Mandatory At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles

Flexible work arrangements, Free spirit, and emotional positivity

Agile self-determination, trust, transparency, and open collaboration

All Support needed for the realization of business goals,

Stable employment with a great atmosphere and ethical corporate culture

_About the job_
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 (