Galent · 5 hours ago
Senior Manager / AI Governance and Data Science Lead
Galent is seeking an experienced AI & Data Science Lead to drive Enterprise AI governance and client AI initiatives. This role involves hands-on delivery, applied data science, and strategic advisory to ensure scalable and compliant ISG AI solutions aligned with business outcomes.
Responsibilities
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
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
Opertaionalize 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
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
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
Qualification
Required
Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or related field
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
Preferred
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
Company
Galent
Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries.
Funding
Current Stage
Late StageCompany data provided by crunchbase