Technology Leader

This role is for one of Weekday’s clients

Min Experience: 15+ years
Location: Gurgaon, Haryana, India
JobType: full-time

We are seeking an experienced Senior Technology Leader – IT with 15+ years of experience in asset management, investment management, wealth management, capital markets, or financial services. The ideal candidate will have a proven track record of leading large-scale technology organizations, driving enterprise-wide digital transformation, modernizing cloud infrastructure, and managing global engineering teams.

This role will be responsible for shaping enterprise technology strategy, overseeing investment and client platforms, strengthening data and analytics capabilities, and leading technology modernization initiatives. The candidate should combine deep financial services domain knowledge with expertise in cloud architecture, application modernization, data platforms, automation, and emerging technologies.

Requirements

Key Responsibilities

• Enterprise Technology Strategy: Define and execute technology strategies, roadmaps, and transformation initiatives aligned with business objectives and long-term organizational growth.
• Technology Leadership: Lead large-scale technology functions across investment platforms, client platforms, data and analytics, and enterprise engineering.
• Cloud Architecture & Modernization: Drive cloud adoption, application modernization, infrastructure transformation, and scalable technology architecture using platforms such as AWS and GCP.
• Investment Technology Platforms: Oversee technology solutions supporting investment operations, portfolio management, fixed income, real estate investments, investment accounting, compliance, and regulatory reporting.
• Asset Management Technology: Manage and optimize investment technology ecosystems, including platforms such as Aladdin, eFront, State Street solutions, Finastra products, SS&C platforms, MRI, or comparable systems.
• Data & Analytics: Lead enterprise data platform development, data management, analytics, business intelligence, and enterprise reporting initiatives to improve operational efficiency and decision-making.
• AI & Intelligent Automation: Identify and implement opportunities involving artificial intelligence, Generative AI, robotic process automation (RPA), and intelligent automation to streamline processes and enhance business capabilities.
• Global Engineering Leadership: Build, develop, and manage high-performing engineering teams across geographies, fostering innovation, accountability, collaboration, and continuous improvement.