Manager

Key Responsibilities:
Run workshops, interviews, and requirement-gathering sessions.
Prepare BRDs, FRDs, user stories, acceptance criteria.
Map processes and identify improvement opportunities.
Support UAT planning and execution.
Collaborate with product, tech, and business teams.

Skills Required:
Strong analytical and communication skills.
Experience with Agile (JIRA, Confluence).
Ability to translate business needs into clear requirements.
Knowledge of Investment Banking Trade/Risk Domain preferred.

Lead data engineering strategy across projects. Drive innovation in practices and optimization. Represent team in executive meetings. Develop long-term data plans.

Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.