Product Management Associate Director - Data Solutions

Sidley Austin•Chicago, IL

1d•$185,200 - $264,000•Hybrid

About The Position

The Product Management Associate Director - Data Solutions helps shape and lead the execution of the Firm's enterprise data strategy, advancing Sidley toward a unified, governed, and AI-ready data ecosystem. The role leads the 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. The role manages the product roadmap, leads a team of Product Managers, and partners with Engineering, Governance, Finance, Marketing, HR, and other functions to turn data into a reusable, high-value asset that supports innovation, automation, and informed decision-making across the Firm.

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 the 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 and attention to detail.
Good judgment and strong interpersonal communication, analytical, and problem-solving skills.
Ability to work harmoniously and effectively with others, preserve confidentiality and exercise discretion, work under pressure, and 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 the 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 a consistent, trusted view of each entity 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 to ensure alignment with the strategic roadmap and the Firm's value proposition.
Lead, mentor, and develop a team of Product Managers, setting clear expectations, recognizing strong performance, and fostering collaboration, accountability, and continuous improvement.
Collaborate with teams 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 their 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 they are accurate, relevant, and aligned to 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.