Director - Product Management, Data & AI

Director, Product Management – Data & AI

Location:

Chicago, IL (hybrid)

We are a premier global professional services firm with a distinguished history spanning over 150 years. Our organization is recognized for implementing creative strategies to deliver exceptional results for clients across sophisticated transactional, restructuring, crisis management, investigatory, regulatory, and dispute resolution matters. With a truly international footprint supported by strategically positioned offices in major commercial and financial hubs worldwide, our professionals bring deep cross-border expertise and cultural fluency to navigate today's complex business environment.

We prioritize quality, strategic insight, and efficiency while building enduring client relationships that enable us to understand business objectives and deliver outcomes that surpass expectations.

This role represents a unique opportunity to transform organizational operations through data and artificial intelligence enablement. The Director of Product Management for Data & AI will function as a strategic leader within our Data & AI division. This senior product executive will collaborate directly with professionals across the organization to identify high-value use cases, assess emerging AI technologies and platforms, and spearhead the creation of both custom AI solutions and strategic integrations of premier external tools.

Reporting to the Senior Director of Product Management, this position will guide a team and work across functions to launch innovative products that generate significant business value. The ideal candidate demonstrates extensive product management expertise combined with outstanding executive presence and influence capabilities, supported by a distinguished track record of successfully delivering data and AI-powered solutions from concept through implementation.

• Strategic Product Planning & Vision:
  Establish and maintain the product vision, strategic direction, and development roadmap for a designated portfolio of Data & AI initiatives, ensuring coordination with enterprise data strategy and organizational priorities. Convert sophisticated requirements into concrete, valuable product programs that deliver impact across the organization. Advocate for product-centric methodologies throughout the firm, partnering with stakeholders to transition from traditional project-based approaches toward durable, scalable product frameworks.
• Product Discovery & Implementation:
  Collaborate with professionals and business functions to comprehend their workflows, challenges, and opportunities where data and AI can create meaningful value. Guide discovery initiatives to identify and confirm high-impact use cases, employing proven product management methodologies including user research, A/B experimentation, prioritization models, and incremental delivery approaches. Curate and advance the Data & AI product pipeline, ensuring alignment with strategic objectives, user requirements, and technical viability.
• Team Leadership & Growth:
  Recruit, coach, and nurture an exceptional team while cultivating an environment of partnership, responsibility, ongoing development, and results focus. Establish transparent goals, deliver consistent mentorship and constructive feedback, and build a workplace that inspires and acknowledges excellent performance. Exemplify product management excellence and act as a strategic advisor to the team on sophisticated challenges.
• AI Technology Assessment & Product Creation:
  Assess available AI tools and platforms to determine organizational fit, examining capabilities, constraints, security considerations, and integration requirements. Oversee complete product development cycles for proprietary AI solutions, from discovery and design through development, launch, and refinement. Formulate strategic build-versus-buy recommendations, weighing innovation potential, time-to-value, investment, and long-term sustainability.
• Cross-Functional Partnership & Stakeholder Engagement:
  Collaborate effectively with Engineering, Design, and Data Governance organizations to…