Overview

Morningstar Sustainalytics has a singular mission to empower investor success. This role is the Chief Data Officer responsible for the strategic use of data across the organization, where data is a critical asset for client decision-making. The CDO reports to the President of Morningstar Sustainalytics and collaborates with Morningstar's CXOs and the broader corporate executive leadership.

Responsibilities

• Data Strategy and Governance: Define and implement a data strategy aligned with business goals; establish data governance frameworks to ensure data quality, consistency, and security; oversee data policies, standards, and compliance (e.g., GDPR, CCPA).
• Data Architecture and Infrastructure: Collaborate with technology and product teams to build scalable data platforms; ensure the organization has the right tools and infrastructure for data collection, transformation, storage, and processing.
• Data Quality and Stewardship: Monitor and improve data accuracy, completeness, and reliability; promote data stewardship across departments to ensure accountability.
• Analytics and Insights: Enable advanced analytics, AI, and machine learning initiatives with demonstrable ROI; work with business units to translate data into actionable insights; drive data democratization to make data accessible and usable across teams.
• Risk Management and Compliance: Mitigate risks related to data privacy, security, and misuse; ensure compliance with regulatory and ethical standards.
• Culture and Change Management: Foster a data-driven culture; lead change management efforts to improve data literacy and adoption.
• Collaboration and Leadership: Manage and develop a global team of approximately 500 data professionals in Romania and India; partner with Sustainalytics and Morningstar leaders to align data initiatives; represent data interests in strategic planning and innovation.

Who You Are

• Minimum of 15 years in strategic data management and operations leadership, with a proven track record in large-scale data strategy and execution.
• Deep expertise in sustainability, mutual fund, equity, and fixed-income data and investment methodologies.
• Strong communicator with the ability to influence, negotiate, and align stakeholders at all levels.
• Extensive experience with data workflows including extraction, transformation, normalization, warehousing, and reporting.
• Familiarity with Big Data technologies and client-facing data product development is a strong advantage.

Work Model

Morningstar’s hybrid work environment offers in-person collaboration each week. The typical model is four days in-office per week, with tools and resources available to engage meaningfully with global colleagues, regardless of location.

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