int(11019)
Mumbai, India

Data Technology Leader (Director)

The client is a leader in investment banking, commercial banking, financial transaction processing and asset management.

 

Role Overview:

In your role as a Director of Software Engineering within the Asset and Wealth Management line of business, you oversee a data technology sector, significantly influencing teams, technologies, and project outcomes. You leverage your extensive expertise in software, applications, technical processes, and product management to steer multiple complex projects, acting as the main decision-maker for your teams and driving engineering innovation and solution delivery. This position emphasizes delivering data solutions for various Wealth Management businesses.

 

Please contact Shreyans Kasliwal or email your cv directly in word format with Job ID 13267 to Tech-India@theedgepartnership.com

 

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.

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Key responsibilities

  • Oversee the engineering and delivery of data and analytics solutions.
  • Make critical decisions affecting team resources, budgeting, tactical operations, and the execution and implementation of processes and procedures.
  • Hold governance responsibility for coding decisions, control obligations, and key success metrics such as cost of ownership and maintainability.
  • Provide technical solutions that are applicable across various businesses and domains.
  • Engage and collaborates with peer leaders and senior stakeholders across business, product, and technology teams.
  • Promotes the firm’s values of diversity, equity, inclusion, and respect.

Role requirements

  • 15+ years of experience in data technology space.
  • Prior Experience in managing global data solutions for leading global Investment banks.
  • Led cross-functional technology teams and handled multiple stakeholders across business, technology, and product domains.
  • Strong knowledge of data products, including modelling, quality, lineage, and access management.
  • Integrated latest technologies in a hybrid cloud environment (preferably AWS).
  • Proficient in current technologies: GraphQL, Glue, Spark, SnowFlake, SNS, SQS, Kinesis, Lambda, ECS, EventBridge, QlikSense.
  • Skilled in Java and/or Python programming.
  • Hands-on problem solver with exposure to Asset and Wealth Management.