Associate Director - Investment Data Management ( End User)
Mentions vibe coding as a plus; exposure to tools like Cursor, Claude Code, Replit would be beneficial.
About the Role
Lead end-to-end investment data operations for OCIO and Advisory data sets in Mumbai, driving ingestion, validation, governance, and automation across modern cloud data platforms while managing stakeholders and mentoring a team. The role focuses on integrating relational legacy systems with platforms like Databricks/Snowflake, automating manual workflows, and delivering business-aligned data solutions in a hybrid work model.
Job Description
Role
Associate Director - Data Management (End User) responsible for leading end-to-end data operations for OCIO and Advisory data sets. The role focuses on data procurement, ingestion, preprocessing, validation, delivery, automation, and governance across modern data platforms.
Key Responsibilities
- Lead end-to-end data operations covering procurement, ingestion, preprocessing, validation, and delivery for investment and advisory data.
- Integrate data from legacy/upstream relational databases into cloud data platforms (e.g., Databricks, Snowflake).
- Design, develop, and optimize data ingestion pipelines from diverse sources (email extracts, portal downloads, SFTP feeds).
- Identify manual/error-prone processes and drive automation using low-code/no-code platforms and scripting.
- Lead POCs and pilots to evaluate tools, automation approaches, and process improvements.
- Partner with investment teams, advisory professionals, data engineers, IT, and external providers to deliver business-aligned solutions.
- Establish and enforce data governance, data quality controls, validation checks, and security practices.
- Define and track KPIs for efficiency gains, data quality improvements, and automation adoption.
- Provide leadership and mentorship to team members and communicate progress, risks, and outcomes to senior management.
Requirements
- Minimum 12+ years of experience in data operations, data management, or automation within investment management, OCIO, or advisory environments.
- Strong understanding of investment management operations and how data supports portfolio management, reporting, and advisory processes.
- Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and integrating them with modern data platforms such as Databricks.
- Hands-on experience designing and managing data ingestion pipelines from non-standard and vendor-driven sources (email files, portals, SFTP).
- Proven ability to drive automation using low-code/no-code platforms; preference for Microsoft Power Platform (Power Automate, Power Apps, Power BI).
- Proficiency in Python and SQL for data processing, validation, and automation support.
- Strong understanding of data engineering concepts, ETL/ELT patterns, and data quality frameworks.
- Experience leading POCs and pilots and strong stakeholder management and communication skills.
- High attention to detail and ability to manage multiple priorities in a fast-paced, matrixed environment.
Preferred / Nice-to-have
- Deep domain knowledge of investment data flows and operational pain points in OCIO and Advisory.
- Prior exposure to operational efficiency or automation-led transformation initiatives.
- Advanced degree (Master’s or higher) in Finance, Data Science, Computer Science, Engineering, or related field.
- Exposure to vibe coding tools such as Cursor, Claude Code, Replit is a plus.
Location & Work Model
- Role is based in Mumbai (hybrid) with an expectation to work at least three days per week in the office.