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AI Governance & Data Science Lead

Roles & Responsibilities

  • 8+ years of experience in data science, AI, or machine learning, including at least 3 years in a leadership role.
  • Proven track record deploying AI solutions into production (not just prototypes).
  • Hands-on experience with AI governance, risk, and compliance in regulated or enterprise environments.
  • Familiarity with cloud-based AI platforms (AWS, Azure, GCP) and data pipelines/MLOps; experience across enterprise domains.

Requirements:

  • Lead the design, development, and deployment of ISG AI and machine learning solutions from concept to production; translate client business problems into practical AI use cases with measurable outcomes.
  • Assess enterprise readiness for AI governance, establish and drive ISG's AI governance framework, including document intelligence, predictive analytics, and generative AI deployments across domains.
  • Partner with Client Relationship, Product, Engineering, COE, and Business teams to embed AI into core workflows; publish insights and support proposals and marketing efforts.
  • Operationalize AI governance: model risk management, bias detection and mitigation, explainability, data privacy and security; ensure compliance with evolving AI regulations and monitor risk.

Job description

Description

 AI Governance & Data Science Lead
 
Wanted: dynamic and creative individuals ready to connect with a like-minded team. You’ll enjoy all the autonomy you need to help our clients make their digital infrastructure faster and more effective. Free reign for free spirits doesn’t mean you’ve got to go it alone. Over 1400 teammates from around the globe are eager to help you out when things get down to wire. Their expertise will put you on the winning path and keep you there. 
Position Overview
We at ISG are seeking an experienced AI & Data Science Lead to drive the Enterprise AI governance, AI programs, Client AI initiatives requiring program management support. This role blends hands-on delivery, applied data science, AI governance, and strategic advisory, ensuring ISG AI solutions are scalable, compliant, and aligned with business outcomes.
The ideal candidate brings deep experience translating AI potential into production-grade solutions, while staying current with rapidly evolving AI models, platforms, and regulatory expectations. The candidate can propagate ISG IP, AI solutions and ensure they are aligned with business objectives.
Responsibilities
AI Strategy & Implementation
  • Lead the design, development, and deployment of ISG AI and machine learning solutions from concept to production
  • Translate client business problems into practical AI use cases with measurable outcomes
  • Ability to create data models, QA framework, API strategy required for implementation & roll out of services
  • Assess Enterprise readiness on AI Governance, effectiveness of controls and drive ISG framework
  • Oversee implementation of AI solutions across domains such as:
    • Document intelligence (contracts, SLAs, obligations)
    • Predictive analytics and risk modeling
    • Generative AI and agent-based workflows
    • AI Governance Transformation
  • Partner with Client Relationship, Product, Engineering, COE and Business teams to ensure AI is embedded into core workflows
  • Publish insights, support RFPs and support marketing campaigns to grow brand presence.
AI Governance & Responsible AI
  • Collaborate with senior leadership to integrate AI governance into the overall business strategy
  • Prepare and present regular reports to the executive team and board of directors on the state of AI governance and compliance
  • Operationalize AI governance frameworks, technology solutions including:
    • Model risk management
    • Bias detection and mitigation
    • Explainability and transparency
    • Data privacy and security
  • Ensure compliance with evolving AI regulations and standards (e.g., NIST AI RMF, SOC 2, GDPR, emerging US AI regulations)
  • Monitor AI Risk assessment, risk mitigation and escalation management as required
  • Support refresh of any policies for model lifecycle management, monitoring, and auditability as required 
 
Stakeholder & Delivery Leadership
  • Act as a trusted advisor to client senior leaders on AI feasibility, risks, and ROI
  • Drive cross-functional alignment between Data Science, Engineering, Legal, Security, and Compliance
  • Set up KPIs such as time-to-value, adoption, and business impact and reporting mechanisms as a part of AI Governance Transformation Office
Innovation & Market Awareness
  • Stay current with AI industry trends, tooling, and regulatory updates
  • Assess emerging technologies and recommend adoption where they provide clear business value
  • Continuously refine AI approaches based on lessons learned and external advancements
Required Skillsets
  • This is a remote position based in the US
  • 10-15% travel may be required
  • 8+ years of experience in data science, AI, or machine learning, with at least 3 years in a leadership role
  • Proven experience deploying AI solutions into production (not just prototypes)
  • Strong understanding of:
    • Machine learning and statistical modeling
    • Generative AI and LLM-based solutions
    • Data pipelines and MLOps practices
  • Hands-on experience with AI governance, risk, and compliance
  • Experience implementing AI in regulated or enterprise environments
  • Familiarity with cloud-based AI platforms (AWS, Azure, GCP)
  • Exposure to domains such as procurement, contract management, risk, legal, or enterprise SaaS
  • Experience with document intelligence and NLP-heavy use cases
  • Knowledge of AI policy frameworks and emerging regulations
Key Competencies
  • Outcome-driven and execution-focused
  • Strong business and technical communication skills
  • Comfortable navigating ambiguity and fast-moving AI landscapes
  • Pragmatic approach to responsible AI adoption
  • Ability to influence without authority
Education
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field
At ISG, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our clients, and our communities. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. ISG is proud to be an equal opportunity workplace and we are committed to creating an inclusive environment for all employees. The more diverse and inclusive we are, the better our work will be.
The duties and responsibilities described in this job description may not be a comprehensive list. Additional tasks may be assigned to the employee from time to time and/or the scope of the job may change as necessitated by business demands.
 
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