Job Title: Director of Data
Job Responsibilities:
Data Science Leadership and Strategy:
- Define the vision and roadmap for the law firm's data initiatives in collaboration with the innovation leadership team.
- Lead problem definition, agile problem-solving, and integrated data solutioning, including technical and organizational data transformation.
- Establish and lead a high-performing data team to support business goals.
- Develop and drive a modern, collaborative, and solution-oriented data culture across the organization.
Data Management and Organization:
- Ensure data management is driven by the problems and needs of end-users and customers.
- Oversee the development of a modern enterprise data management system and process, including legal-specific data products.
- Coordinate cross-functional collaboration on data cleanup and migration.
- Identify, acquire, and integrate data sources (internal and external) to support analytics and other firm use-cases.
Data Science and Engineering:
- Oversee the development of the law firm's data infrastructure into a modern, flexible, best-in-industry capability that connects data management with infrastructure, data science, and AI capabilities, and the ultimate end-user demands.
- Implement data systems with robust data pipelines and workflows for efficient data collection, storage, and analysis end-to-end.
- Oversee the integration of data modeling, data science, AI solutions development, and software engineering.
- Collaborate with other enterprise technology, information governance, and security teams to ensure proper data governance, security, and privacy protocols in the data platform.
Data Delivery and Automation:
- Oversee the integration of service delivery to internal and external customers of data-driven products, including AI solutions with the management and development of data capabilities.
- Collaborate with business owners to streamline and automate routine data delivery capabilities while expanding service footprint with increased coverage and new opportunity identification.
- Create systems and processes to integrate data delivery with other crucial law firm functions such as business analysis, financial analysis, business development, and legal service delivery.
Collaboration and Stakeholder Engagement:
- Collaborate with other law firm functions to ensure a highly integrated data operation that supports business needs and drives innovation.
- Serve as the primary liaison between business units and other technical teams to ensure the data strategy aligns with enterprise goals.
- Communicate complex data science concepts and insights to non-technical stakeholders in a clear and actionable manner.
Legal and Compliance Awareness:
- Familiarity with legal industry-specific data requirements, such as E-Discovery processes, and compliance with regulatory standards (GDPR, HIPAA, etc.).
- International operational experience across geographic and regulatory environments for data.
Team Building and Mentorship:
- Define team roles and responsibilities, ensuring alignment with organizational objectives.
- Recruit, train, and mentor a diverse data team, including data managers, data scientists, data engineers, data analysts, and other roles as deemed appropriate.
- Serve as direct supervisor and mentor to direct reports.
- Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours, and monitor for compliance with all law firm and department policies.
- Manage staffing coverage, review and process time logs/time off requests.
- Support professional development and continued educational opportunities.
- Participate in hiring, performance appraisals, counseling, termination, and other employee lifecycle events in collaboration with immediate supervisor and CN HR.
- Foster a collaborative, innovative, and results-driven team culture.
- Perform all other duties as assigned or required.
Education and Experience Information:
Required:
- Bachelor’s degree.
- 10+ years of experience in a directly applicable data-related role (., data research, data delivery, data operations, etc.) along with 5+ years of management experience in relevant roles with a proven track record of effective leadership.
- Experience in leading large-scale data initiatives, preferably within technology or highly regulated industries (., finance, healthcare).
Preferred:
- Strong understanding of the legal industry, particularly around legal tech systems, analytics, and legal operations.
- Strong understanding of modern data operations, including data lakes, data pipelines, and experience with complex data migrations.
- Experience in managing cross-functional projects involving engineering, data engineering, and operational business units.
- Knowledge and experience with distributed systems and organizations.
Competencies:
- Strong leadership experience in building, managing, and mentoring data science teams.
- Excellent communication and interpersonal skills, with the ability to translate complex technical concepts to legal professionals and senior executives.
- Ability to influence and collaborate with multiple stakeholders across various departments.
Salary Information:
- The expected annual pay range for this position with a full-time schedule is $300,000 - $400,000. The final offer amount will depend on geographic location, applicable experience, and skillset of the candidate.
Benefits:
- Competitive compensation and excellent benefits package.
- Full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults, and other parental support benefits.
- Firm-paid life insurance, AD&D, LTD, short-term medical benefits, 25 days of Paid Time Off (PTO), and 10 paid holidays each year.
- Generous parental leave and fertility benefits.
- Detailed benefit orientation for new employees to learn more about the benefits and resources offered.
Equal Opportunity Employer (EOE).
