Data Management Leader for Investment Banking and Asset Management

1 week ago

Mumbai, Maharashtra, India beBeeLeadership Full time US$ 1,80,000 - US$ 2,50,000
Job Description

We are seeking an experienced professional to lead our Data Management team in the investment banking and asset management domain.

This role will be based in Mumbai and requires a minimum of three days a week in the office.

The ideal candidate will have a strong background in data management, with experience in establishing and leading high-performing teams.

The position will partner closely with the Global Head of Data and the Global Data Team to drive day-to-day operational excellence and innovate to meet evolving needs.

  • Establish and lead a high-performing Data Team from the ground up, instilling a culture of accountability and excellence.
  • Develop and execute a data strategy that aligns with business priorities and delivers measurable impact.
  • Serve as a trusted partner working with the Global Data team, senior business leaders, anticipating needs and proactively offering solutions.
  • Design and deliver pragmatic, scalable solutions leveraging a balanced mix of people, processes, and technology.
  • Collaborate with technology teams to build both tactical and strategic solutions ranging from quick-win tools to enterprise-scale platforms.
  • Oversee data pipelines, sourcing, and management for investment advisory and OCIO business areas, ensuring timely, accurate, and high-quality data delivery.
  • Introduce and oversee a lightweight development capability to quickly design and deploy targeted end-user solutions, using low-code, no-code, and scripting tools.
  • Design, implement, and mature core data management practices across governance, quality, lineage, metadata, and stewardship.
  • Establish policies, standards, and controls to ensure data is accurate, consistent, and fit for purpose across the investment lifecycle.
  • Implement data quality monitoring and remediation processes, ensuring issues are proactively identified and addressed.
  • Act as the voice of the data team, effectively communicating the team's value and impact to business leaders.
  • Present data-driven recommendations to influence strategic decisions.

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