Business Partner to VP of AI Reinvent & Engineering driving strategic AI initiatives at Novo Nordisk. Collaborating across the organization to support AI - driven solutions that enable better decisions and faster innovation.
SL
Hybrid Senior Manager, Data & Generative AI
Posted 5 days ago
About the role
- Senior Manager validating AI-driven solutions for Data modernization at a leading law firm. Implementing Medallion architectures and managing cross-functional teams for regulatory compliance.
Responsibilities
- Lead implementation of Medallion architecture (Bronze, Silver, Gold layers).
- Oversee lifecycle management of enterprise data platforms.
- Advance the firm’s Data Modernization capabilities.
- Operationalize scalable data ingestion transformation, governance and reporting frameworks.
- Operations Management (including incident, problem, and change monitoring)
- Promote a culture of accountability and transparency with clear line of sight to goals
- Promote a culture of continuous improvement and service excellence
- Demonstrate ability to manage timeframes involving multiple functions
- Think critically and make quick decisions to address Firm challenges effectively
- Translate technical concepts for non-technical audiences
- Demonstrate flexibility and agility in adapting to changing needs and priorities
- Facilitate solutions for Microsoft tools like Azure OpenAI Service, Microsoft Purview, SharePoint Syntex, and Copilot into legal workflows
- Collaborate with IT to ensure robust architecture, data governance, and security for Azure-based AI solutions
- Ensure alignment between AI initiatives and enterprise cloud strategy, data privacy regulations, and legal risk frameworks.
Requirements
- 5-7 Years leading engineering teams, data teams, or development teams
- Experience implementing machine learning initiatives within legal, compliance, or highly regulated environments
- Understanding of Microsoft Azure services and Microsoft Purview
- Knowledge of data protection regulations (e.g., GDPR, HIPAA, SOC 2) and legal risk considerations.
- Experience implementing machine learning initiatives in regulated environments.
- Ability to work independently and manage multiple priorities
- Comfort with ambiguity; ability to work with incomplete data or seemingly open-ended questions and translate into actionable analysis
- Strong communication and collaboration skills (written and verbal)
- Demonstrate critical thinking skills.
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