Product Management Associate Director - Data Solutions

IL LLP•Chicago, IL

15h

About The Position

The Product Management Associate Director - Data Solutions helps shape and lead execution of the Firm's enterprise data strategy, advancing Sidley toward a unified, governed, and AI-ready data ecosystem. The role leads consolidation of disparate data warehouses into a single trusted source and delivery of entity-focused data 360s for Matter, Lawyer, and Client, giving dashboards and applications one source of truth. It also manages the product roadmap, leads a team of Product Managers, and partners with Engineering, Governance, Finance, Marketing, HR, and other functions to make data a reusable, high-value asset supporting innovation, automation, and informed decision-making across the Firm. The successful candidate will contribute to the long-term vision for the enterprise data ecosystem, translate strategic priorities into an actionable roadmap, manage and prioritize the enterprise data product backlog, and align delivery with the Firm's value proposition. The role includes leading, mentoring, and developing Product Managers; coordinating program and portfolio activities; managing intake, prioritization, and resourcing; refining stakeholder needs into solvable data problems; optimizing enterprise reporting assets; and preparing communications and presentations for senior and executive leadership. The position requires a bachelor's degree in a relevant field and at least 10 years of experience building and implementing data products, including at least 3 years in a leadership or team lead capacity. A master's degree, law firm or professional services experience, and experience with agile delivery are preferred. The target salary range is $185,200–$264,000 for candidates located in Illinois; compensation varies by location and other factors. The compensation package also includes bonus eligibility and a comprehensive benefits program. Reasonable accommodations are available to enable individuals with disabilities to perform the essential functions of the job.

Requirements

Bachelor's degree in Accounting/Finance, Computer Science, Engineering, or a related field.
At least 10 years of experience building and implementing data products, including at least 3 years in a leadership or team lead capacity.
Experience working across product and engineering teams to build scalable data capabilities that deliver measurable business impact.
Experience leading consolidation of disparate data sources or warehouses into a centralized, governed platform and delivering entity-based data models that serve as a trusted source for reporting and applications.
Solid understanding of data-as-a-product principles, metadata management, and modern data platform concepts.
Solid understanding of data management concepts, tools, and technologies, including governance, quality, and lifecycle management best practices.
Demonstrated ability to lead work streams across multiple teams and coach and develop team members.
Strong communication and stakeholder management skills, including the ability to articulate a clear vision, influence senior stakeholders, and create alignment amid complexity.
Experience contributing to enterprise-wide transformation efforts in large-scale, matrixed environments.
Ability to navigate ambiguity, manage multiple priorities, and deliver outcomes in fast-paced environments while maintaining confidentiality and exercising sound judgment.
Strong organizational skills.
Strong attention to detail.
Good judgment.
Strong interpersonal communication skills.
Strong analytical and problem-solving skills.
Ability to work harmoniously and effectively with others.
Ability to preserve confidentiality and exercise discretion.
Ability to work under pressure.
Ability to manage multiple projects with competing deadlines and priorities.

Nice To Haves

Master's degree in Business, Computer Science, Engineering, or a related field.
Law firm or professional services industry experience.
Experience working with agile and iterative delivery methodologies.

Responsibilities

Lead consolidation of disparate data warehouses into a single trusted source, establishing a governed foundation for enterprise dashboards, applications, and AI initiatives.
Drive the design and delivery of entity-focused data 360s for Matter, Lawyer, and Client, providing consistent, trusted views across the Firm's dashboards and applications.
Contribute to the long-term vision for the Firm's enterprise data ecosystem, advancing unification, speed to insight, operational efficiency, and business growth.
Translate strategic priorities into an actionable roadmap that accelerates data maturity and readiness for advanced analytics and AI initiatives.
Manage and prioritize the enterprise data product backlog in alignment with the strategic roadmap and the Firm's value proposition.
Lead, mentor, and develop a team of Product Managers; set clear expectations, recognize strong performance, and foster collaboration, accountability, and continuous improvement.
Collaborate across the Firm to maintain an integrated view of program and portfolio activities, and manage intake, prioritization, and resourcing for assigned product areas.
Partner with stakeholders to understand data, reporting, and insight needs, and refine ambiguous or complex requests into clear, solvable data problems.
Maintain, rationalize, and optimize the inventory of enterprise reports, dashboards, and visualizations to ensure accuracy, relevance, and alignment with business goals.
Prepare presentations and communications for senior and executive leadership, including business cases, program updates, roadmaps, and OKR progress.
Communicate product direction, decisions, and progress to stakeholders to ensure alignment and transparency.