Chief Data Officer

Morningstar; City Of London; On-site; GBP 120,000 - 160,000; Full time

Job summary

A leading investment research firm is seeking a Chief Data Officer to oversee data strategy and governance. The role requires 15+ years in data management with expertise in sustainability and investment methodologies. You will lead a global team and ensure compliance with data standards. The position supports a hybrid work environment, allowing collaboration and flexibility.

Benefits

Hybrid work model

Flexibility in benefits

Qualifications

• Minimum of 15 years in strategy data management and operations leadership.
• Proven track record in large-scale data strategy and execution.
• Strong knowledge in sustainability and investment methodologies.

Responsibilities

• Define and implement a data strategy aligned with business goals.
• Oversee data policies, standards, and compliance.
• Manage and develop a global team of approximately 500 data professionals.

Skills

Data strategy management

Strategic communication

Data governance

Advanced analytics

Leadership

Job description

About This Role

Morningstar Sustainalytics has a singular mission to empower investor success.

We do this by ensuring our Climate and Sustainability research, data and solutions work for our clients and by:

• Being the trusted, collaborative partner to Investment Managers
• Offering differentiated and innovative solutions that support decision‑critical use cases
• Integrating directly into their workflows in a seamless, scalable manner

As Sustainalytics Chief Data Officer you will be the primary executive responsible for the strategic use of data across our organization – where data is a critical asset for our client’s decision‑making.

Reporting to the President of Morningstar Sustainalytics, the CDO plays a vital role within the senior leadership team and collaborates closely with Morningstar’s CXOs and the broader corporate executive leadership.

Your main areas of responsibility include:

Data Strategy and Governance

• Define and implement a data strategy aligned with our 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 entire organization has the right tools and infrastructure for data collection, transformation, storage, and processing.
• Lead enterprise‑wide programs in data deduplication, consolidation, and advanced analytics (e.g., machine learning, NLP).

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, making 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 across the organization.
• 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 other Sustainalytics and Morningstar leaders to align data initiatives.
• Represent data interests in strategic planning and innovation.

Who You Are

• Minimum of 15 years in strategy 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.

Ready to Shape the Future?

At Morningstar, every hire we make strengthens our mission to empower investor success. Apply now and help shape the future of investing with us.

Morningstar's hybrid work environment gives you the opportunity to collaborate in‑person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in‑office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.