Director, Enterprise Data & Business Intelligence

Paul Hastings is a leading international law firm that provides innovative legal solutions to many of the world's top financial institutions and Fortune Global 500 companies. With a strong presence throughout Asia, Europe, Latin America, and the U.S., we have the global reach and extensive capabilities to provide personalized service wherever our clients' needs take us. As one of the world's leading law firms, we seek dynamic individuals who share our commitment to service, innovation, and professional growth.

We have an opening for a Director, Enterprise Data & Business Intelligence.

The Director, Enterprise Data & Business Intelligence will define and implement Paul Hasting's data strategy, data management, and analytics initiatives in support of the organization's business strategy. This is a newly created role that will transform our data capabilities, enhance personalization, deliver insights, and drive innovation through data-driven decision making. This role will work closely with senior leaders to align data initiatives with business goals.

In this capacity, the Director, Enterprise Data & Business Intelligence will:

• Align data initiatives with broader business goals, contributing to the company's growth and customer experience improvements. Provide strategic direction and set priorities for the data team, ensuring all efforts contribute to business success;
• Redevelop our current data warehouse into a consolidated, scalable data infrastructure that supports both traditional needs and advanced analytics (including AI/ML and predictive modeling). Establish and enforce strong data governance policies focusing on integrity, quality, and security;
• Recruit, develop, and mentor a technical team to manage data pipelines, ETL processes, and infrastructure, reducing reliance on the internal Technology team. Ensure your team follows industry best practices and is fully capable of supporting all data needs across the business;
• Lead, develop, and coach a team of analytics professionals, fostering a high-performance culture and ensuring alignment with the company's objectives. Provide mentorship and technical direction for both the existing analytics team and the newly built technical team;
• Partner with various business leaders to understand their data needs and ensure timely, accurate insights that support strategic initiatives. Drive the development of dashboards, reports, and tools that empower teams to make data-driven decisions independently, while establishing a process to review and validate analyses before they are shared company-wide;
• Develop advanced predictive models and analyze the cause and effect of changes. Implement incremental measurement techniques to evaluate the impact of business decisions and optimize strategies across departments; and
• Stay ahead of trends and technological advancements in data infrastructure and analytics. Continuously assess and propose improvements to tools, systems, and processes to drive operational efficiency and data innovation.

Proficiencies:

• Established track record of building and leading high-performing data teams, fostering a culture of collaboration, accountability, and knowledge sharing;
• In-depth understanding of modern data governance, security, and compliance best practices, with the ability to balance data accessibility with data integrity for data-driven projects;
• Excellent communication skills and ability to 'translate' between the data and the business, via layman's terminology of complex analytical methods;
• A strong interest in analyzing and interpreting structured and unstructured data, drawing conclusions, and building strategic insights based on quantitative and qualitative research;
• Strong technical foundation in data engineering and infrastructure with a modern data stack (GCP or Snowflake, dbt, Airflow, Fivetran);
• Experience automating data workflows and cleaning messy data with modern tools (Dataform or dbt);
• Experience with BI tools and visualizing data (Metabase, Looker, Tableau, PowerBI or similar);
• Strong proficiency in SQL and Python;
• Player/coach leadership style, balancing hands-on work with team management; and
• Strong project management, planning and prioritization skills.

Qualifications:

• A Bachelor's degree in Computer Science, Data Science or related field; and
• A minimum of 10 years of experience in a pivotal data leadership role, which involved leading a comprehensive data strategy.

Employees will be provided with an excellent career opportunity in a collaborative environment, in addition to a generous total compensation package with the opportunity to earn bonuses based on individual contribution and firm profitability.

Eligible employees can participate in the Firm's comprehensive benefits program, which include the following:

• Medical, Dental, Vision, Life/AD&D, Long Term Care, and Short- and Long-Term Disability
• Flexible Spending Account and Health Savings Account
• Healthcare Concierge and Advocacy
• Lifestyle Spending Account
• Voluntary 401(k) Plan and Profit Sharing
• 10 Paid Holidays per year and a generous PTO Program
• Family Support including Paid Parental Leave, Fertility Benefits, Breast Milk Shipping, Back-up Child Care, Elder Care, and Tutoring
• Wellbeing programs (Employee Assistance Program, Relationship Support, Mental Health and Well-Being Events)
• Retirement Plan Consulting
• Anniversary Bonus Program
• Professional Development Programs
• Transportation and Commuter Benefits
• International Travel Insurance
• Auto/Home/Pet Insurance
• Prepaid Legal Insurance
• Employee Discounts
• And More!

The Firm has a range of diversity initiatives including our Paul Hastings Affinity Networks (PHANs), Women's Initiative, and PH Balanced. These initiatives provide a firmwide forum to share experiences, as well as an opportunity to participate in a supportive network with common interests to help make life at the firm more inclusive. Learn more about our Global Diversity, Inclusion and Wellness Initiatives here.

Paul Hastings LLP is an equal employment and affirmative action employer F/M/Disability/Vet/Sexual Orientation/Gender Identity.