Associate Director, Corporate Strategy – Enterprise AI Transformation

Wolters Kluwer

. Identify and diagnose high-value AI transformation opportunities .

Posted 9/16/2026full-timeNew York City • California • United StatesSenior💰 $160,100 - $286,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in identifying AI transformation opportunities and developing analytical models to quantify business impact. Proficient in synthesizing complex information and providing actionable insights to senior leadership while leading cross-functional analytical workstreams.

Highest-signal resume keywords

AI Transformation OpportunitiesAnalytical Model DevelopmentKPI Definition and Performance BaselinesBusiness Diagnostics and Performance ImprovementStrong Quantitative and Analytical Orientation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytical Model DevelopmentKPI DefinitionPerformance BaselinesBusiness DiagnosticsFinancial ModelingData AnalysisOpportunity EvaluationValue Realization MethodologyCommercial Due DiligenceTransformation Strategy

Soft Skills

Exceptional Problem-Solving SkillsStrong Business JudgmentExcellent Communication SkillsInterpersonal SkillsOwnership Mindset

Tools & Technologies

Generative AI ToolsBI ToolsSQLAnalytical Tools

Industry Keywords

Strategy ConsultingCorporate FinancePerformance ImprovementB2B TechnologyEmerging Technology

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Identify and diagnose high-value AI transformation opportunities
Partner with functional leaders, process owners, frontline subject-matter experts, Finance, Data, Technology, HR, and other stakeholders
Conduct business and process diagnostics to identify bottlenecks, costs, delays, capacity constraints, quality issues, risk, and lost revenue
Define meaningful business and operational KPIs and establish credible performance baselines
Gather, reconcile, and analyze information across multiple sources
Identify data gaps, limitations, and assumptions and develop pragmatic measurement approaches
Build transparent, driver-based models quantifying revenue growth, productivity, capacity, cost reduction, quality, risk, customer impact, and employee experience
Develop Year 1 and longer-term value estimates, operating costs, investment requirements, and net business impact
Develop and challenge rigorous business cases for priority AI opportunities
Pressure-test assumptions and compare opportunities to support leadership prioritization
Support build/buy/partner analysis
Design measurement approaches for pilots and scaled deployments
Compare realized results with expected performance and diagnose variances
Determine whether initiatives should be scaled, modified, paused, or stopped
Aggregate opportunity analyses into an enterprise AI value view
Provide leadership with fact-based perspectives and executive-ready decision materials
Lead analytical workstreams from problem definition through recommendation
Develop frameworks, templates, benchmarks, and analytical tools for consistent AI opportunity evaluation
Capture learnings and improve value-realization methodology and operating routines

Requirements

What you’ll need

Bachelor's degree in business, economics, finance, engineering, analytics, or a related quantitative discipline
5+ years of experience in strategy consulting, corporate strategy, strategic finance, transformation, performance improvement, or a similarly rigorous analytical environment
Demonstrated experience developing analytical models, defining KPIs, establishing performance baselines, assessing business opportunities, and translating operational improvements into financial impact
Experience synthesizing complex information from multiple sources and developing senior-management recommendations
Ability to rapidly develop a working understanding of unfamiliar functions, industries, and business processes
Strong preference for experience at a leading strategy or management consulting firm, particularly in business diagnostics, commercial due diligence, corporate finance, performance improvement, or transformation
Experience in B2B technology, software, information services, or professional services preferred
Prior experience with AI transformation or emerging technology helpful, but deep technical AI expertise is not required
Exceptional structured problem-solving skills
Strong quantitative and analytical orientation, including ability to build driver-based business and financial models from imperfect or incomplete information
Strong business judgment and ability to identify key metrics and value drivers
Strong understanding of the relationship between operational performance and financial outcomes
Excellent written and verbal communication skills
Strong interpersonal skills and ability to build credibility with senior leaders and cross-functional stakeholders
Strong ownership mindset and ability to independently lead complex analytical workstreams
Experience using generative AI tools preferred
Familiarity with BI tools, SQL, or other analytical tools helpful but not required

Benefits

Comp & perks

Bonus eligibility
Medical, Dental, & Vision Plans
401(k)
FSA/HSA
Commuter Benefits
Tuition Assistance Plan
Vacation and Sick Time
Paid Parental Leave