Data Capability Tooling and Solutions SVP - C14 Pune

Data Capability Tooling and Solutions, SVP

Overview

The Data Capability Tooling SVP is a senior role in B&I Data Organization. This role integrates subject matter expertise in technology and industry asset class expertise. Requires in-depth understanding of how various technology areas collectively integrate within an organization as well as coordinate and contribute to the objectives of overall business. The primary purpose of this role is to build architecture understanding across different asset classes, and to build data science/Tooling capabilities within the team. This will involve working closely with the wider Enterprise Data team, in particular the front to back leads to deliver business priorities.

Key Responsibilities:

• Design, develop, visualize and implement data architectures across front to back asset classes for the B&I Data team stakeholders.

• Provide technical view and expertise on Data capabilities/Tooling.

• Build best practices for data modelling, data integration, data pipelining, and data delivery.

• Lead the definition and ongoing management of target data architecture.

• Working in conjunction with information owners and technology partners to define and implement the target state architecture for B&I Data.

• Establishing a governance process to oversee implementation activities and ensure ongoing alignment to the defined architecture.

• Manage a team of developers to build analytical capability and dashboards using PowerBI/Tableau.

• Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support. Prepare handover documents and manage SIT, UAT and Implementation.

• Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives; requires a good understanding of the banking industry.

Skills & Qualifications:

• Bachelor's degree in computer science, Engineering, or a related field.

• 15+ years of relevant experience as a Technical Lead or similar role in Data Engineering including experience with data visualization tools and data integration platforms.

• 10+ years of Team management experience

• Extensive experience with data modelling, SQL, implementing stored procedures and functions and other data manipulation languages

• Strong understanding of data warehousing and data architecture principles.

• Project Management experience and certification is desirable

Education: 

Bachelor's/University degree, master’s degree preferred.