Senior Manager, Enterprise Data Management

Baker Botts, a leading international law firm recognized for our understanding of the industries we serve, is seeking to fill the Senior Manager, Enterprise Data Management position within the Information Technology Department. The Senior Manager, Enterprise Data Management will lead and oversee the Firm’s data management capabilities across key platforms and business systems. This role is responsible for establishing data governance practices, improving data quality, enabling secure and compliant data access, and partnering with business and technical stakeholders to deliver reliable data products (e.g., reporting, analytics, integrations, and master/reference data).

The Senior Manager, Enterprise Data Management manages priorities and budgets for data initiatives, coordinates vendors and internal teams, and ensures that data services align with Firm objectives and risk requirements. Substantial interaction and proficiency with the Firm’s AI systems, such as Harvey and Copilot is a requirement. This position reports to the Chief Information Officer and collaborates with Finance, HR, Client Development, Risk and Information Governance, legal practices and other teams across the organization.

The ideal candidate is a customer-focused professional with strong data and systems expertise who can deliver trusted outcomes to the Firm. This is a full‑time, remote, exempt position that can be based out of one of the Firm’s Texas locations:
Houston, Dallas, or Austin.

• Manage a team of data and technology professionals; provide guidance, feedback, and coaching
• Measure outcomes through data quality, timeliness/freshness, adoption, usage, incident reduction, and stakeholder satisfaction
• Ensure the availability, performance, security, and scalability of data platforms, integrations, and data pipelines
• Plan and execute data initiatives (data quality, master/reference data and integrations) in alignment with business goals and priorities
• Manage the data program and platform budget; optimize the cost and value of data investments
• Work with stakeholders (Finance, HR, Client Development, IT, practice teams, vendors, and customers) to gather requirements, define data definitions, and deliver trusted data solutions
• Facilitate communication and reporting to leadership on the status, issues, risks, and outcomes of data management activities
• Plan and facilitate data project meetings and working sessions to align stakeholders on definitions, scope, milestones, and delivery
• Identify and act on opportunities for self‑improvement, both professionally and technically, including training in data management, governance, and enabling technologies
• Work with team members to present and cross‑train on data standards, reporting, data quality practices, and platform capabilities
• Participate in after‑hours support for data platform and integration incidents as needed
• Maintain knowledge of data management, analytics, and governance trends; collaborate and share with the technical community

• Provide leadership with project briefings and root cause analyses of data incidents (quality issues, pipeline failures, reporting discrepancies, and access problems)
• Keep up with emerging data management, integration, and analytics technologies
• Other projects and duties as assigned by Chief Information Officer

• Strong communication skills, both oral and written
• Strong work ethic and ability to maintain strict confidentiality
• Ability to work well with internal and external clients
• Strong organizational skills, attention to detail
• Manage capital and operational yearly budgets and quarterly forecasts
• Customer‑service focused

• 5+ years of technical experience demonstrating success in data management, data integration, reporting/analytics enablement, and troubleshooting of complex data issues required
• Experience managing stakeholder relationships and expectations; driving consensus on data definitions, priorities, and delivery required
• Demonstrated ability to solve business problems through appropriate data architecture, governance, and integration approaches…