Lead Data Modeler Job at Citi (Pune)

Data Modeller

Join us as a Data Modeller at Barclays, where you'll spearhead the evolution of ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Partner with business stakeholders to understand their data needs and their desired functionality for the data product. Translate these requirements into clear data modelling specifications
Designs and implements high-quality data models that optimize data access, storage, and analysis as well as ensuring alignment to BCDM
Creates comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines
Collaborates with data engineers to test and validate the data models
Obtains sign-off from the DPL, DPA and the Technical Product Lead on the logical and physical data models
Continuously monitor and optimise the performance of the models and data solutions to ensure efficient data retrieval & processing
Collaborates with data engineers to translate into physical data models and throughout the development lifecycle
Manages the business as usual ‘BAU’ data model and solution covering enhancements and changes
Helps DSA in defining the legacy estate migration and decommissioning roadmap for the assigned BUK data domain
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills

Job Responsibility

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
Designing and building data pipelines to automate data movement and processing
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes
Consult on complex issues

What we offer

Hybrid working
We’re committed to providing a supportive and inclusive culture and environment for you to work in
We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success

Fulltime

Data Modeler

Join us as a Data Modeler at Barclays where you will spearhead the evolution of ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Design and implementation of high-quality data models that optimize data access, storage, and analysis
Experience in ER Studio
Creation of comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines
Partnering with business stakeholders to understand their data needs and translate these requirements into clear data modelling specifications
Collaboration with data engineers to translate into physical data models and throughout the development lifecycle
Continuously monitor and optimize the performance of the models to ensure efficient data retrieval and processing
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
Execution of data cleansing and transformation tasks to prepare data for analysis
Designing and building data pipelines to automate data movement and processing
Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems

Job Responsibility

Spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence
Harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions
Translate business requirements into logical and physical data models which serve as the basis for data engineers to build the data products
Work with Data Product Manager of the Value stream use case / BUK Data Domain to capture the requirements, translating these into data models while considering performance implications
Test the data models with data engineers and continuously monitoring and optimizing the performance of these data models
To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources

What we offer

Hybrid working
Structured approach to hybrid working with fixed, ‘anchor’, days onsite
Supportive and inclusive culture and environment
Commitment to providing a supportive and inclusive culture
Opportunity to explore flexible working arrangements
Chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business
Encouragement to embrace mobility, exploring every part of our operations as you build your career

Fulltime

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Lead Director, Data Science

Develop and implement analytics applications and models to transform data into m...

Location

United States , New York

Salary:

141170.00 - 280000.00 USD / Year

CVS Health

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Business Administration, or related field
2 years experience in marketing analytics, clinical trials, or health research
2 years experience in machine learning, statistical analysis, or predictive modeling
2 years experience with visualization tools including PowerBI or Tableau
2 years experience with traditional relational data warehouse technologies: Oracle, Teradata, or DB2
2 years experience designing data models and solutions for analytical and reporting use cases
2 years experience with NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
2 years experience with machine learning algorithms
2 years experience with feature engineering, model tuning, distributed model training, and supervised and unsupervised learning implementation
2 years experience with machine learning operations

Job Responsibility

Develop and implement analytics applications and models to transform data into meaningful information
Design and develop data solutions using industry leading tools, technologies and best practices
Profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business
Develop advanced algorithms and statistical predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics
Utilize data mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources
Deliver predictive models that inform solutions for in-house teams and customer engagement
Visualize and interpret data and create reports
Manipulate data using statistical software
Compare models using statistical performance metrics
Support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses

What we offer

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
Term life insurance plan
Short-term disability benefits
Long-term disability benefits
Well-being programs
Education assistance

Fulltime

Data Science Lead Analyst

The Data Science Lead Analyst is a strategic professional tasked with conducting...

Location

Mexico , Ciudad De Mexico

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
6-10 years experience using tools for statistical modeling of large data sets
Process Improvement or Project Management experience
Bachelor’s/University degree or equivalent experience, potentially Masters degree
Licenciatura en Economía, Estadística, Informática o áreas afines
Al menos 7 años en puestos relacionados con análisis de datos, ciencia de datos, desarrollo de modelos de Machine Learning e Inteligencia Artificial
Conocimiento en SAS // Phython- SQL (Avanzado)
Cientifico de Datos (Modelos)
Desarrollo estadística y econometría

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and makes strategic recommendations
Develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
Provides user and operational support of application to business users

Fulltime

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related technical fields
Proven ability to design, build, and optimize large-scale data ecosystems
Strong track record of leading complex data engineering initiatives
Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
Extensive experience with data integration frameworks and best practices
Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
Strong strategic and analytical thinking
Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
Exceptional communication and interpersonal skills

Job Responsibility

Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
Translate stakeholder needs into scalable, high-quality data solutions
Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
Build reliable, automated, and efficient data pipelines and architectures
Lead and execute complex projects
Provide technical direction and set engineering standards
Ensure alignment with customer goals and company principles
Mentor and develop data engineers
Promote knowledge sharing and thought leadership
Contribute to internal and external content

What we offer

Comprehensive health benefits
Generous time away and flexible PTO
Maternity and paternity leave
Access to educational resources with reimbursement for continued learning
401(k) plan with company contribution

Senior Data Governance Lead

The Data Governance Foundation Sr Lead Analyst is responsible for leading activi...

Location

Ireland , Dublin

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Experience in Banking or Finance industry preferred in Data Governance/Data Management/Process Engineering or related area
Excellent communication skills with ability to negotiate internally at senior level
Developed communication and diplomacy skills to guide and influence others
Strong negotiation, influencing and stakeholder management skills across various levels
Experience in business analysis including collection, analysis, review and documentation of business needs
Working knowledge of Data Operating Model practices, Data Governance and Data Compliance within large financial services firms
Organizational savvy with understanding of systems and management processes
Bachelor's/University degree, Master's degree preferred

Job Responsibility

Lead activities contributing to definition of Enterprise Data Governance Strategy and/or Data Risk and Control Framework
Lead implementation of Data Governance Policy/Data Risk and Control framework
Liaise with partners to establish, manage and implement policy adoption plans, compliance metrics, communications and training
Lead business analysis and align requirements with Data Governance standards
Contribute to establishment of Data Governance standards in alignment with Enterprise Chief Data Office
Support key Data Transformation projects as Subject Matter Expert in data policies
Lead activities to ensure roles and responsibilities related to data are understood and implemented
Collaborate with colleagues to ensure timely execution of milestones and provide risk reporting
Capture requirements, develop delivery plans and manage entire lifecycle of metrics and report production
Assess risk when making business decisions and drive compliance with applicable regulations

What we offer

Career growth opportunities
Mentorship
Continuous learning
Flexibility with potential hybrid work opportunities
Global benefits supporting well-being, growth and work-life balance

Fulltime

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related fields
Extensive experience in writing and testing Java and/or Python
Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue
Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask
Proficiency with Spark and Databricks is highly desirable
Proven track record of leading complex data engineering projects, including designing and implementing scalable data solutions
Hands-on experience with ETL processes, data warehousing, and data modeling tools
In-depth knowledge of data integration tools and best practices
Strong understanding of cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
Strong strategic and analytical skills

Job Responsibility

Understand Requirements and Challenges: Collaborate with stakeholders to deeply understand their data requirements and challenges
Implement with a DataOps Mindset: Embrace a DataOps mindset and utilize modern data engineering tools and frameworks, such as Apache Airflow, Apache Spark, or similar, to build scalable and efficient data pipelines and architectures
Lead Data Engineering Projects: Take the lead in managing and executing data engineering projects, providing technical guidance and oversight to ensure successful project delivery
Mentor Data Engineers: Share your extensive knowledge and experience in data engineering with junior team members, guiding and mentoring them to foster their growth and development in the field
Promote Knowledge Sharing: Contribute to our knowledge base by writing technical blogs and articles, promoting best practices in data engineering, and contributing to a culture of continuous learning and innovation

Lead Data Modeler

Citi

Location:
India , Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 24, 2025

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