Job summary
Job post source
This job is directly from Morningstar
Job overview
The Head of Data Operations at Morningstar leads a global team to ensure the quality and relevance of financial datasets, driving innovation and operational excellence in data management.
Responsibilities and impact
The role involves managing a large global team, ensuring data quality, designing scalable data collection practices, leading data acquisition strategy, partnering with technology teams, and collaborating cross-functionally on governance and compliance.
Compensation and benefits
The position offers a base salary range of $194,855 to $350,742 and total cash compensation from $302,025 to $543,650 annually, with benefits including 401k match, stock ownership, comprehensive health insurance, paid sabbaticals, parental leave, education stipends, and volunteer programs.
Experience and skills
Candidates should have 15+ years in data operations or financial data management, deep knowledge of investment data, leadership experience with large teams, understanding of data workflows, and experience collaborating with technology teams; advanced degrees and familiarity with Big Data and machine learning are preferred.
Career development
Opportunities include leadership coaching, formal mentorship, education stipends, and tuition reimbursement supporting professional growth.
Work environment and culture
Morningstar promotes a hybrid work environment with three days in-office weekly, emphasizing wellness, diversity, and a data-driven culture with global collaboration.
Company information
Morningstar is a leading provider of independent investment research and data, maintaining one of the largest investment databases globally and focusing on innovation and data excellence.
Team overview
The candidate will lead a global team of over 1000 members including data analysts, team leaders, and product managers, working closely with technology and product teams.
Job location and travel
The role is based in Chicago with a hybrid work model requiring three days per week in-office and some travel as needed.
Unique job features
This role uniquely combines strategic leadership with hands-on innovation in data operations at a global scale, offering a high-impact position in a leading financial data company with extensive benefits and hybrid work flexibility.
Company overview
Morningstar is a leading global financial services firm specializing in investment research and management. They generate revenue through a diverse range of products and services, including investment data, research reports, software platforms, and advisory services for individual investors, financial advisors, and institutional clients. Founded in 1984 by Joe Mansueto, Morningstar has grown significantly, becoming renowned for its comprehensive mutual fund analysis and star rating system. The company is headquartered in Chicago, Illinois, and operates in over 27 countries, emphasizing transparency and independence in its financial assessments.
How to land this job
Position your resume to highlight extensive leadership experience in managing large-scale global data operations teams, emphasizing strategic direction and operational excellence in financial data management.
Focus on showcasing your expertise in data quality assurance, scalability, automation, and innovation within financial datasets, especially across equities, mutual funds, and fixed income.
Apply through multiple channels including Morningstar’s corporate career site and LinkedIn to maximize your application’s visibility and reach.
Connect with current Morningstar employees in the Direct Platform or Data Operations divisions on LinkedIn, using ice breakers like commenting on recent data innovations at Morningstar or asking about their experience with the hybrid work environment.
Optimize your resume for ATS by incorporating keywords such as 'data operations leadership,' 'financial data management,' 'data acquisition strategy,' 'automation,' and 'data governance' to ensure it passes initial screenings.
Leverage Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your time on networking and interview preparation.
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