AI-ML Strategy Director

Grant Thornton
Philadelphia, Orlando, Atlanta, Boston, Charlotte, Dallas, Houston, New York, Chicago
Workplace: HybridFull timeUSD 170,568 - 274,554 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Mentoring","Stakeholder management","Decision-making","Adaptability"]

Lead the discovery-to-production delivery of enterprise AI/ML solutions, translating client objectives into end-to-end target architectures spanning data, models, integration, governance, and security. Define tradeoffs across accuracy, latency, cost, reliability, privacy, and risk, and build MLOps/LLMOps foundations for lifecycle monitoring and retraining. Create architecture artifacts, run architecture reviews, mentor teams, and scale reusable patterns and accelerators across a growing AI practice.

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Grant Thornton
Grant Thornton
1 month ago

AI-ML Strategy Director

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Job Summary

Lead the discovery-to-production delivery of enterprise AI/ML solutions, translating client objectives into end-to-end target architectures spanning data, models, integration, governance, and security. Define tradeoffs across accuracy, latency, cost, reliability, privacy, and risk, and build MLOps/LLMOps foundations for lifecycle monitoring and retraining. Create architecture artifacts, run architecture reviews, mentor teams, and scale reusable patterns and accelerators across a growing AI practice.
Location: Philadelphia, Orlando, Atlanta, Boston, Charlotte, Dallas, Houston, New York, Chicago
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Director level

Key Responsibilities

  • •Lead discovery workshops to clarify objectives, constraints, and measurable success criteria for AI/ML initiatives.
  • •Translate requirements into end-to-end target-state architectures across data/ML/AI, integration, security, and governance.
  • •Define pragmatic tradeoffs (accuracy, latency, cost, reliability, privacy, and risk) and communicate decisions to executive and engineering audiences.
  • •Design the data and model lifecycle and establish the MLOps/LLMOps foundations for monitoring, drift detection, and retraining.
  • •Produce delivery artifacts (reference patterns, roadmaps, runbooks), drive architecture reviews, and mentor teams to build reusable accelerators.
Travel: Extensive travel

Pay and Benefits

Salary: USD 170,568 - 274,554 annually
Perks:Health InsuranceDentalVisionEmployee AssistancePaid Leave401kAnnual Bonus

Key Requirements

  • •Bachelor’s degree preferably in data science, computer science, or a related discipline.
  • •At least two years of experience leading teams of AI/ML architects and developers.
  • •Demonstrated experience designing and delivering production AI/ML solutions in an enterprise environment.
  • •Strong grounding in cloud architecture (AWS/Azure/GCP), distributed systems, and modern data platforms.
  • •Experience with MLOps practices (model lifecycle, monitoring, governance, deployment automation) and partnering with security/risk for privacy, access controls, and auditability.
Experience:7+ years
Education:Bachelor's in Data science or computer science (preferred)
Skills:CommunicationMentoringStakeholder managementDecision-makingAdaptability
Languages:English
Tech Stack:AWSAzureGCPAPIsEventsWorkflowsIAMObservabilityMLOpsLLMOpsRAGAgenticData pipelinesTrainingFinetuningModel monitoringDrift detectionRetrainingArchitecture diagramsRunbooks

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Grant Thornton
Global accounting and advisory network providing audit, tax, and consulting services to businesses, public sector entities, and private clients across industries through independent member firms operating under the Grant Thornton brand.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: London, United Kingdom
WebsiteLinkedIn