IFC – Data Designer

1203 Barclays Global Serv. Cent; Pune District; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

1203 Barclays Global Serv. Cent is seeking a Vice President to lead the bank’s data architecture strategy in Pune. The candidate will define, direct, and govern the data architecture, ensuring data accuracy and accessibility.

The ideal applicant will have experience in data modeling for enterprise platforms, strong SQL and analytical skills, and a background in Banking and Financial Services.

Qualifications

• Experience designing data models for Data Warehouses, Data Products, Data Lakes, or Enterprise Data Platforms.
• Experience validating data model implementations with development teams.
• Strong understanding of Data Architecture and data quality principles.

Responsibilities

• Develop and maintain the bank’s data architecture governance and standards.
• Manage the alignment of projects to the target data architecture.
• Monitor applicable regulatory standards and industry developments.

Skills

Data modeling for Data Warehouses

Strong SQL skills

Data Analytical Skills

Data governance principles

Metadata management

Collaboration with architects

Translating business requirements

Job description

Job Description

Purpose of the role: To define, direct and govern the bank’s target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders.

Accountabilities

• Development of the bank’s data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan.
• Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage.
• Development and maintenance of the bank’s data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information.
• Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress.
• Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access.
• Custodianship of an overarching data model that directs how data is logically and physically structured within the bank’s physical data resources, e.g. database, interfaces and reports.
• Monitoring applicable regulatory standards and industry developments for potential impact on the bank’s operations, controls and application portfolio.
• Identification and selection of best-in-class data technologies and ongoing assessment of compliance with the bank’s service level agreements and quality standards.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change.
• Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and elevate breaches of policies/procedures.
• Define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes.
• Lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.
• Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.
• Guide technical direction as an individual contributor, leading collaborative, multi-year assignments, guiding team members through structured assignments, and identifying the need for the inclusion of other areas of specialisation to complete assignments.
• Train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
• In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

Key Qualifications & Experience

• Experience designing data models for Data Warehouses, Data Products, Data Lakes, or Enterprise Data Platforms (EDP).
• Strong SQL skills with Data Analytical Skills.
• Experience validating data model implementations with development teams.
• Strong understanding of Data Architecture, data governance, data lineage, metadata management, reference data, and data quality principles.
• Knowledge of industry-standard modelling techniques such as 3NF, Dimensional Modelling, Data Vault, Canonical Models, and Domain-Driven Design.
• Ability to collaborate with architects, analysts, technology teams, and business stakeholders to align data models with enterprise standards.
• Proven ability to translate complex business requirements into scalable data structures, data entities, relationships, and business data definitions.
• Experience working within the Banking, Financial Services, Financial Crime, Risk, Regulatory, or Compliance domains, with a strong understanding of financial data concepts.
• Experience in designing and maintaining Conceptual, Logical, and Physical Data Models for enterprise applications and data platforms.
• Exposure to Data Control Frameworks and Regulatory Data Management.

Additional Highly Valued Skills

• Experience working within the Banking, Financial Services, Financial Crime, Risk, Regulatory, or Compliance domains, with a strong understanding of financial data concepts.
• Experience in designing and maintaining Conceptual, Logical, and Physical Data Models for enterprise applications and data platforms.
• Exposure to Data Control Frameworks and Regulatory Data Management.

Location

The role is based out of Pune.