Overview

If you thrive in a collaborative environment that values exceptional client service, initiative, professionalism, responsiveness, and adaptability, we invite you to consider joining our Information Technology department in our Chicago office as an Assistant Director: Global Analytics Delivery.

The Assistant Director: Global Analytics Delivery owns end-to-end delivery for the firm's business intelligence, data science, and GenAI analytics solutions. Reporting into Director: Global Data and Analytics, this role builds and delivers a prioritized roadmap in partnership with stakeholders across the firm, while leading a blended team of 8-10 BI and data science professionals.

The position ensures successful strategic outcomes through team leadership, technical oversight, stakeholder alignment, and disciplined portfolio management. Starting from an established enterprise data strategy and a governed, modern Microsoft data platform, the role applies discipline to a prioritized queue of high-value analytics projects for both the business and practice of law.

The successful candidate brings hands-on experience delivering programs that span both business intelligence and data science, working expertise in AI concepts and their practical application on a Microsoft-centered stack, including Fabric, Power Platform, and Databricks. Success is measured on disciplined, quality, on-time delivery of impactful analytics solutions with demonstrable business value aligned to firm strategy.

Responsibilities

Essential Functions

• Lead, develop, and manage a blended team of 8-10 BI and data science professionals; set direction, manage workload, review performance, and ensure throughput and quality
• Build and own the analytics delivery roadmap: a prioritized, capacity driven queue of BI, data science, and AI-agent projects sequenced with stakeholders and the firm's strategic programs to maximize business value
• Translate firm and senior-leadership priorities into scoped, estimated, committed work, matching the right technique to the right problem and making explicit trade-offs on scope, quality, and timeline; continuously update the portfolio as priorities, capacity, and platform capabilities evolve
• Own delivery cadence, prioritization, and quality for all business and practice facing analytics output, holding the team and stakeholders to standards, timelines, and strict adherence to scope
• In coordination with the Director and program managers, establish and continuously refine the delivery operating model, including intake, scoping, build, review, release, and adoption
• Define, track, and report delivery and value-realization metrics, including throughput, on-time performance, quality, adoption, and business impact, to IT and firm leadership
• Oversee data science research and proof-of-concept activity that enhances analytical capabilities and strengthens controls for AI agents, model output, and automated workflows
• Ensure delivered solutions comply with the firm's data governance, security, and AI controls, partnering with Enterprise Data, Information Governance and Information Security
• Serve as the point of accountability between the Analytics team and business leadership, practice groups, and operational functions; build and maintain trusted relationships with stakeholders
• Manage contractor and vendor resources supporting delivery, including scoping engagements, overseeing quality, and holding partners to delivery commitments
• Provide input to the Director on budget, headcount, tooling, and external spend for Analytics
• Perform other duties as assigned or required to meet Firm goals and objectives

Qualifications, Experience and Personal Attributes

Education/Training/Certifications:

• Required: Bachelor's degree in Computer Science, Data Science, Business Analytics, or a related quantitative or technical field
• Preferred: Advanced degree in Computer Science, Data Science, Business Analytics, or a related quantitative or technical field

Professional Experience:

• 8-10 years of progressive experience in analytics, business intelligence, or data science, including five or more years leading delivery teams and owning business-facing delivery accountability
• Demonstrated track record delivering complex, multi-stakeholder programs spanning both business intelligence and data science on time, on quality, and at scale - including ownership of delivery budgets and vendor/contractor relationships
• Experience leading or directly contributing to a generative AI or data science program, from pilot to production deployment and user adoption
• Experience operating on enterprise data platforms and within strong governance frameworks
• Strong people leadership with proven ability to develop talent, manage performance, and run a high-throughput delivery team
• Experience in a global legal, professional services, financial services, or comparable enterprise environment is preferred

Technical Skills:

• Microsoft analytics stack: Microsoft Fabric, Azure Foundry, Copilot Studio, Power BI, and Databricks, with working fluency required and hands-on history strongly preferred
• Familiarity with modern data science and AI development ecosystems, including Python-based development, document embeddings, vector and graph databases, retrieval-augmented generation (RAG), model validation, ML Ops, and AI governance practices
• Understanding of AI-agent architectures and low/pro-code agent platforms, including Copilot Studio and Azure AI Foundry, as delivery patterns
• Delivery tooling such as Azure DevOps or GitHub for backlog, sprint, and portfolio management

Performance Traits:

• Strong written and verbal communication skills, with the ability to communicate effectively and professionally at all levels of the firm, including senior leadership, business stakeholders, technical teams, and vendors
• Ability to build trust with senior stakeholders and translate ambiguous business demand into actionable analytics requirements
• Disciplined delivery orientation, with sound judgment in prioritization, scope control, risk management, and quality assurance
• Ability to work in a diverse, cross-functional team environment, effectively supporting the demanding needs of a global law firm
• Strong customer service orientation, anticipating stakeholder needs, proactively addressing concerns, and driving adoption and value realization
• Exceptional attention to detail and organizational skills, ensuring accuracy, accountability, and process adherence across a portfolio of analytics projects
• Strong analytical and problem-solving skills with a focus on delivering measurable business value through governed analytics, data science, and AI-enabled solutions

Management Accountabilities:

• Manages processes for direct reports in regards to performance appraisals, annual compensation, goal setting and performance counselling
• Demonstrated leadership and supervisory experience
• Operational budget analysis and recommendations
• Conducts analysis of staffing levels and participation in the recruitment process
• Able to determine and implement change processes to improve workflow efficiencies
• Process- and service-oriented with strong leadership and project management skills
• Able to set priorities and delegate in an efficient manner

The above is a general description of the essential duties associated with this position and does not represent an exhaustive or comprehensive list of all duties.

The Firm may modify and amend this job description at any time at its sole discretion. Nothing herein creates a contract of employment or otherwise modifies the at-will nature of employment.

We offer competitive compensation and comprehensive benefits, including medical/dental/vision/life/and AD&D insurance, 401(k) savings plan, back-up childcare and eldercare, generous paid time off (PTO), as well as opportunities for professional development and growth.

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Posted Pay Range

The typical pay scale for this position is between USD $197,000.00/Yr. and USD $260,000.00/Yr., although the actual wage or salary could be lower or higher if the candidate's education, experience, skills and internal pay alignment are different from those specified.