Director, Data Management & Analytics
Listed on 2026-06-18
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IT/Tech
Data Analyst, Data Security, Data Science Manager, Data Engineering
Director, Data Management & Analytics
The Director, Data Management & Analytics will lead Enterprise data architecture and data management.
Reporting to the Executive Director, IT Operations, this role has ownership of the data strategy and operating model with a focus on client, case, and financial data metrics. This role will also play a key role in establishing and advancing the Firm’s AI and data governance framework, ensuring that data used in analytics and AI-driven solutions is well-governed, secure, ethical, and aligned with regulatory and Firm standards.
This role is expected to be a change agent, innovator and translator who will bring exceptional leadership skills and the ability to drive sustainable change and improvement. They will work closely with enterprise-wide leaders and stakeholders and provide thought leadership and support to help provide high quality digital data across the Firm’s assets, content and experiences and ensure it is aligned to business priorities and strategy.
Key Responsibilities:Data Management & Data Governance
- Accountable for ensuring a clear data governance framework is in place, including defining data quality standards, establishing processes to address data quality issues, and supporting governance for data used in AI and advanced analytics solutions
- Ensure the roles and responsibilities of data owners, stewards, and custodians are clearly defined and that they comply with established data standards, protocols, and governance requirements, including those related to AI data usage and model inputs
- Ensure data management policies and procedures are up to date, clearly communicated, and supported by processes that safeguard adherence, including policies governing the responsible, ethical, and compliant use of data in AI initiatives
- Make certain there is a process for identifying and managing data security risks, including risks related to AI models, training data, and automated decision-making systems
- Establish and support AI data governance practices, ensuring that data used to train, test, and operate AI solutions is properly governed, documented, and aligned with regulatory, ethical, and Firm standards
- Partner with Technology Service teams to deliver a scalable next-generation data business architecture, data management capabilities, and data tools and processes to support the continued digitization of the business and the responsible adoption of AI
- Partner with cross-functional teams to ensure data quality, actionable insights, and accurate testing and results for both analytics and AI-driven initiatives
- Foster a data-driven culture and the creation of related competencies and data literacy across the organization, including awareness of AI data governance and responsible data use
- Champion data and analytics value creation and governance as strategic disciplines, including the governance of AI data assets and model lifecycle data requirements
- Develop, lead, and drive the implementation and operationalization of specific data use cases that align with business priorities and capability-building needs, including opportunities leveraging advanced analytics and AI
- Collaborate with lawyers and stakeholders across business services, building relationships and identifying opportunities to leverage analytics, AI-enabled insights, and dashboards to enhance firm strategies and operations, support legal service delivery, and provide value to clients
- Support the day-to-day business insights needs through timely and multiple channel delivery of existing and enhanced reporting to the businesses and central teams; decommission legacy reports
- Work with Technology and the Enterprise teams to build next-generation reporting solutions, including automation, AI-assisted analytics, and visualization of reporting
- Ensure data visualizations are clear, concise, and effective and consistent with Company brand guidelines
- Build a reporting and business insights capability to support the needs of the business (pricing, business development, talent, and financial reporting), including advanced and predictive analytics capabilities
- Assess existing reporting processes and…
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