Vice President- Data Designer Job at Barclays (Pune)

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
Advanced proficiency in SQL and relational database concepts
Strong programming experience in Python (required)
PySpark preferred
Hands-on experience building and deploying machine learning models (supervised and unsupervised)
Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
Strong knowledge of statistical modeling, feature engineering, and model validation techniques
Experience with BI tools such as Tableau or Power BI
Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
Experience working with large-scale enterprise or financial datasets

Job Responsibility

Integrates subject matter and industry expertise within a defined area
Contributes to data analytics standards around which others will operate
Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
Resolves occasionally complex and highly variable issues
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management

Fulltime

Data Engineer (Big Data, Python, Databricks) - Assistant Vice President

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Chennai, Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of relevant handson experience in Big Data technologies like Cloudera, Python, HQL, Java/PySpark
Knowledge on Machine Learning, AI would be added advantage
Experience in systems analysis, data analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor’s degree/University degree or equivalent experience

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

Fulltime

Data Engineer (Big Data, Cloud - AWS, Databricks) - Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Scala, Spark/Pyspark is must, Hadoop ( BIG Data ), + AWS,Databricks
8 to 11 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
An inclination to mentor
an ability to lead and deliver medium sized components independently

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

Vice President - Data Architect

Join us at Barclays as a Vice President - Data Architect. In this role, you will...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Investment Banking, including Financial Markets, Expertise
Strong understanding of Investments Banking and Financial Markets, including end-to-end trade lifecycles, market structures, and the flow of data across front‑to‑back processes (from client onboarding, trade capture through post-trade processing).
Enterprise Data Modelling & Architecture Leadership
Proven experience designing and driving adoption of unified data models (e.g., Client, Banking & Trade data representation), including shaping proposals and supporting their implementation across complex environments.
Advanced Data Architecture Capability
Deep expertise in data architecture disciplines, including: Data flow design
Logical and physical data modelling
Translating business and data requirements into scalable, implementable solutions
Engineering Collaboration & Delivery Enablement
Ability to work closely with engineering teams to deliver architectural outcomes across both upstream (trade capture) and downstream (post-trade) systems, ensuring alignment between design and implementation.

Job Responsibility

Analysis and documentation of business requirements to translate them into data models aligned with organisational goals.
Development and maintenance of data dictionaries and glossaries to define data elements and their usage.
Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
Strategic architecture definition and product selection.
Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components.
Implementation of architectures and Identification, ownership and resolution of design related issues.
Definition and documentation of data architectures standards, principles and strategies.

Fulltime

Vice President, Data & Tech Learning

Vice President, Data & Tech Learning At Mastercard, technology and data capabil...

Location

United States of America , New York

Salary:

230000.00 - 368000.00 USD / Year

Mastercard

Expiration Date

Until further notice

Requirements

Significant leadership experience in learning, talent, or workforce development, with direct exposure to technology, data, or engineering heavy environments
Demonstrated success designing and leading technical skill development at advanced levels, not just generic or foundational technical training
Strong understanding of how software engineers, data scientists, AI practitioners, and architects build expertise over time, including applied learning, practice based models, and mentorship
Ability to translate technology strategy into concrete skill priorities and learning interventions
Proven track record of connecting learning strategy to measurable business and engineering outcomes
Highly effective people leader with experience leading senior, multidisciplinary teams in complex, global, matrixed organizations
Exceptional stakeholder influence and communication skills, with the ability to engage credibly with senior technologists and executives

Job Responsibility

Define and lead a multi year global strategy for data, engineering, and technology skill development—from foundations to advanced, expert level capability building
Establish a cohesive, persona based learning ecosystem for technical talent (e.g., software engineers, data scientists, ML engineers, platform engineers, architects), aligned to real role expectations and progression
Maintain a strong external and forward looking perspective on how AI, cloud, data platforms, modern engineering practices, and emerging technologies are reshaping technical roles and skill requirements
Ensure learning experiences go beyond awareness or basic proficiency, enabling deep technical mastery, applied problem solving, and real world execution
Partner with senior technologists and engineering leaders to define what “good” and “great” look like at advanced levels, and translate that into credible learning pathways
Oversee the evolution of technical academies, curricula, credentials, and hands on experiences that build elite level capability
Serve as a trusted thought partner to Technology leadership on how technical skill development drives engineering outcomes, productivity, innovation, and platform resilience
Ensure all major initiatives are explicitly tied to business relevant outcomes, such as speed to proficiency, quality, reliability, rework reduction, and innovation throughput
Partner closely with Talent, Workforce Planning, and People Analytics to align skill investments to priority roles, platforms, and future capability gaps
Lead the end to end portfolio across data, engineering, AI, and technology learning, with clear ownership, prioritization, and sequencing

What we offer

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time
25 days of vacation time and 5 personal days
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement

Fulltime

Application Development Lead (Fixed Income Data) - Vice President

This role is for a application dev lead within the FI Data team, responsible for...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of demonstrable and relevant experience in software development, with at least 3-5 years in a leadership role within a high-performing technical team
Strong understanding of Python 3.6, with the ability to guide and review complex solutions
Solid understanding of REST API development, including best practices for design, security, and scalability
Demonstrable experience in driving the creation of reusable, testable, and efficient code with proper error and exception handling, and establishing coding standards
Extensive experience with the design and implementation of cloud-native applications and deployment via Kubernetes / Openshift, including strategic decision-making on cloud architecture
Expertise in big data computation platforms (Flink, Spark, Apache Beam) or big data distribution platforms (Hadoop, Druid, Pinot, Trino, Ignite), and a track record of leading teams leveraging these technologies
Hands-on experience in handling various data structures, and the ability to guide complex data modeling decisions
Proven leadership in establishing and maturing Continuous Integration and Continuous Delivery environments. Familiarity with TeamCity, Sonarqube, and Jenkins
Extensive experience with the SDLC lifecycle and in leading and coaching within an Agile environment (Scrum/Kanban)
Demonstrable leadership in promoting and enforcing engineering best practices: design patterns, coding standards, rigorous code review processes, and comprehensive unit testing strategies (e.g., Mockito, Junit, Pytest)

Job Responsibility

Lead and oversee the design and development of high-performance green-field data analytics products for a Tier 1 bank, ensuring architectural excellence and alignment with business goals
Collaborate strategically with other dev leads in US and Canada, translating complex business requirements into technical roadmaps and fostering a partnership approach to deliver impactful solutions
Drive innovation within the team, encouraging the exploration and implementation of cutting-edge data visualization and analytics solutions
Mentor and guide team members in applying an engineering mindset, fostering deep understanding of use-cases, developing robust estimation techniques for volume and compute velocity, and openly addressing implementation limitations
Lead the evaluation and development of Proof-of-Concepts (POCs) for new strategic initiatives, guiding the team to convert successful prototypes into robust enterprise solutions
Foster a culture of continuous learning and growth within the team, empowering members to research, learn, and recommend emerging technologies
Provide leadership and strategic direction for post-release support, collaborating closely with business, development, and support groups to ensure operational stability and client satisfaction
Manage team performance, including goal setting, performance reviews, career development, and providing regular feedback to foster professional growth
Participate in hiring processes, attracting, interviewing, and onboarding top talent to grow the team's capabilities
Facilitate effective communication within the team and across different stakeholders, ensuring transparency and alignment

Fulltime

Vice President Data Product Owner

Embark on a transformative journey as Vice President Data Product Owner (IRM & C...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Act as the primary liaison for senior stakeholders across technology, operations, and business units
Influence decision-making and secure alignment on product priorities and investments
Own and manage the product backlog, ensuring clear prioritization and timely delivery
Oversee release planning, sprint prioritization, and coordination of cross-team dependencies
Ensure adherence to data governance principles, privacy regulations, and security standards
Identify and mitigate risks associated with product development and delivery
Track adoption, usage, and performance metrics to assess product success
Recommend enhancements based on data-driven insights and emerging technologies
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures

Job Responsibility

Spearhead the evolution of defining and executing the strategy, vision, and roadmap for data products that enable Barclays to leverage data as a strategic asset
This role ensures that data products deliver measurable business value, comply with governance standards, and support innovation across multiple business domains

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Lead Java Big Data Engineer Vice President

At Citi, we are at the forefront of financial technology, driven by a belief in ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive experience in professional software engineering, with at least 3 years in a technical leadership or architect role
Proven track record of designing and building complex, high-performance, scalable server-side applications using Java
Deep, hands-on experience with the Big Data ecosystem, including mastery of Apache Spark, Hadoop (HDFS), and real-time data streaming with Kafka
Extensive experience with relational databases, data modeling, and data warehousing concepts
Demonstrated experience leading and mentoring technical teams and successfully delivering complex, large-scale data projects from concept to production
Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field

Job Responsibility

Define the end-to-end architectural vision and technical roadmap for migrating from Sybase IQ to a modern Big Data platform, ensuring solutions are scalable, resilient, and secure
Lead the design, development, and deployment of robust, large-scale data processing pipelines using technologies like Apache Spark, Kafka, and distributed data stores
Develop and execute a comprehensive, phased strategy for migrating petabytes of historical and transactional data from Sybase IQ, ensuring data integrity, minimal downtime, and zero business disruption
Oversee the design and development of Java-based microservices that interact with the new data platform, ensuring seamless integration with the broader Oasys application ecosystem
Lead, inspire, and mentor a high-performing team of Java and Big Data engineers. Foster a culture of engineering excellence, innovation, and accountability
Partner with global business leaders, product owners, and other senior technology managers to define requirements, manage expectations, and deliver solutions that drive significant business value
Remain deeply technical and contribute to coding, design, and architectural decisions, leading by example

Fulltime

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Vice President- Data Designer

Job Description

Job Responsibility

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