Enterprise Data Leader

Duties & Responsibilities:

Partner with the Risk & Compliance team, Technology, and other Enterprise Data to ensure data deliverables are linked and opportunities are prioritized to meet engagement and business plans.
Deliver data solutions to enable insights tied to strategic initiatives supporting the business community
Collaborate with other Enterprise Data team members to manage and coordinate Data Community activities and deliverables
Collaborate with technology, business units and risk to drive the definition, prioritization, and implementation of data initiatives
Document and deploy consistent enterprise-wide data definitions, processes, and ownership
Define and report on key metrics related to quality of data
Lead efforts to ensure improvement in quality of data
Create and maintain core metadata on the governance platform
Develop effective relationships with business areas, data operations, technology and risk to oversee the delivery of data-related services to the organization
Partner in the development of data operations standards as needed to effectively manage data across the firm
Be the voice of data for incoming projects & changes impacting datasets
Support a culture of analytics and use new technologies to support business expansion
Ensure that a data-driven culture is integrated in the community work, strategy, and actions

The role requires:

Expertise in asset management process-related data, with the ability to fluently communicate with investment management business professionals to gather and understand requirements and solve problems
Significant data management experience within the asset management services sector (preferably in the buy side)
A proven team player with strong collaboration skills
Self-motivated, driven and solution-oriented mindset, with a proven track record of execution
Knowledge of data governance practices and processes
Strong analytical background
Experience working with business, operational data and technical teams to clearly document data governance and metadata requirements
Experienced in data governance approaches, practices and learnings in large financial organization(s)
Experience in contributing to business requirement documentation
Experience working with large data sets
Proficiency with MS Office suite and familiarity with tools such as Alteryx, SQL, Python, Power BI and other technologies that assist in manipulating and visualizing data
Bachelors degree in mathematics, business administration, statistics, or computer science (or similar)

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