Director, Law Firm Analytics

• Lead the development and execution of the Law Firm Analytics roadmap, aligning analytics priorities to the firm's operational and strategic objectives

• Partner with the CEO, COO, Managing Attorneys, and other senior leaders to identify high-impact opportunities where data can improve business performance

• Establish frameworks for prioritizing analytics initiatives based on business impact, feasibility, and scalability

• Build a culture of analytical rigor, curiosity, accountability, and proactive problem-solving across the analytics team

• Define and continuously evolve the firm's approach to performance measurement, forecasting, monitoring, and decision support

• Partner closely with Data Engineering and Technology to ensure analytics capabilities are

scalable, reliable, and aligned with business needs

• Lead, mentor, and develop a growing team of analysts and senior analysts

• Establish clear expectations around analytical quality, business partnership, communication, and ownership

• Develop team members' ability to move beyond reporting toward insight generation, problem-solving, and strategic influence

• Create an environment where analysts proactively identify opportunities rather than simply respond to requests

• Build scalable processes for project intake, prioritization, execution, and quality assurance

• Serve as a strategic analytics partner to Law Firm Operations leadership across the full case lifecycle, from intake through pre-litigation, litigation, settlement, and resolution

• Develop frameworks for understanding attorney, case manager, team, and operational performance within individual regions

• Define, refine, and standardize KPIs that create clear accountability and measurable performance standards

• Identify bottlenecks, performance variability, capacity constraints, and structural inefficiencies

• Translate complex operational data into clear recommendations and actions for operational leaders

• Help leaders understand not only what is happening, but why it is happening and what to do about it

• Develop forecasting and monitoring capabilities that provide leadership with an early view of emerging opportunities and risks

• Lead the development and implementation of predictive analytics and decision-support capabilities

• Identify opportunities to use data, automation, and AI to improve operational decision-making

• Develop scenario models to support staffing, capacity planning, growth, and strategic initiatives

• Establish measurement frameworks to evaluate whether operational changes and strategic initiatives are delivering the expected impact

• Partner with Technology and Data Engineering to operationalize analytical models and insights within frontline workflows

• Maintain sufficient technical depth to evaluate analytical approaches, data quality, modeling methodologies, and technical tradeoffs

• Guide the team in the use of SQL, Python/R, visualization, statistical analysis, predictive modeling, and modern analytics tools

• Establish standards for analytical rigor, data integrity, documentation, and reproducibility

• Leverage modern analytics and AI capabilities to improve scalability, efficiency, and insight generation

• You don't need to be the person writing every query or building every dashboard—you need to know what good looks like, ask the right questions, and help the team solve problems effectively

• 8+ years of experience in business analytics, strategy, data science, operations analytics,

or a related field, with demonstrated progression in scope and leadership

• Experience leading, mentoring, or managing analytics professionals

• Strong strategic and analytical problem-solving skills with the ability to navigate

complex and ambiguous business problems

• Demonstrated ability to partner with senior executives and operational leaders and

influence decisions through data

• Strong understanding of analytical methodologies, including performance measurement,

forecasting, statistical analysis, and/or predictive modeling

• Advanced SQL proficiency and strong technical fluency; hands-on Python/R experience

preferred

• Ability to translate complex analytical findings into clear business recommendations and

action

• Strong understanding of data quality, data modeling, and analytics infrastructure, with the

ability to effectively partner with Data Engineering

• Exceptional written and verbal communication skills

• Demonstrated ability to prioritize competing demands and operate effectively in a fast-

paced, high-growth environment

• High intellectual curiosity, sound judgment, and strong ownership mindset

• Experience building or scaling an analytics organization

Experience in legal, professional services, healthcare, or other high-volume operational

environments

• Experience with predictive modeling and operationalizing analytical models

• Experience partnering with technology teams to embed analytics into operational

workflows

• Experience using AI or automation to improve business processes

• Experience working in decentralized or multi-location organizations

• Experience supporting executive leadership teams

We don't hire on resumes alone. We hire for competence, character, and mindset.

Embrace Change: Open to feedback, embracing change, and always asking "what's next?"

Committed: You care deeply, have your teammates' backs, and show up to build something lasting.

No-Ego Energy: Positive, professional, and solutions-oriented. Drama stays at the door.

Ownership: You do what you say, follow through, and treat the business like it's yours.

Fast & Hungry: You move with urgency, thrive under high expectations, and are motivated by growth and impact.

We are an equal opportunity employer. Employment selection and related decisions are made without regard to age, race, color, national origin, religion, sex, disability, sexual orientation, gender identification, or being a qualified disabled veteran or qualified veteran of the Vietnam era or any other category protected by Federal or State law. #LI-Remote