Practice Group Data Manager

Responsibilities

• The Practice Group Data Manager – M&A is an integral part of Latham’s Technology and Information Services team.
• This role will be responsible for setting the vision, road mapping, and owning strategy, governance, and day‑to‑day operations for M&A data initiatives.
• Collecting business and stakeholder requirements, translating them into user stories and acceptance criteria, managing a clear and transparent product backlog, and creating, prioritizing, and refining user stories.
• Developing roadmaps to demonstrate long‑term product vision, product features, scope, and priorities, and communicating product releases.
• Working collaboratively with Technology development and quality assurance teams to ensure the production and quality control of internal practice group and client‑facing data outputs.
• Serving as the primary liaison to M&A with the Technology, BD, KM, and Design teams ensuring alignment and visibility of timelines.
• Leading cross‑functional projects from initiation through delivery, creating project plans, managing dependencies, and tracking milestones, risks, and issues.
• Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that Latham & Watkins retains.

• Demonstrate superior communication and executive presence, with the ability to interface with partners and practice leaders, translate requirements, and tell compelling stories with data.
• Possess experience owning a data/analytics product or program for a practice or business line, including roadmap management, stakeholder alignment, and adoption.
• Exhibit proficiency with analytics and visualization tools (e.g., Power BI) and display comfort working with large datasets and collaborating with BI/Data Engineering on pipelines and models.
• A minimum of seven years’ (7) of progressive experience in project/program management, product ownership, or data/analytics roles.
• A minimum of three years’ (3) focused on M&A or transaction‑driven environments (law firm, investment bank, Big Four, or similar), preferably.
• Experience with data modeling, customization and data conversion, preferably.
• A Bachelor’s degree, preferably advanced degree (MBA, JD, or related field).
• Relevant certifications (e.g., PMP, CSM/CSPO, Pragmatic, data governance or analytics credentials), preferably.