Data & AI Strategy Senior Manager
Tasks
- Advise C suite on AI adoption risks and mitigation
- Conduct current state analysis of data systems
- Conduct stakeholder workshops with risk legal compliance product and tech
- Define AI driven data capability vision
- Define AI use cases for data governance and data architecture
- Define measurable success metrics and KPI targets
- Drive data architecture master data and data quality pillars
- Drive data maturity and AI maturity assessments
- Establish data governance policies procedures and frameworks
- Identify training datasets data quality thresholds and labeling needs
- Lead RFI and RFP and support presales engagements
- Measure AI impact using model performance and business value
- Prioritize data and AI investments by value feasibility and risk
- Translate business objectives into data requirements and ML problem definitions
Perks/Benefits
Skills/Tech-stack
AI Act | AI Governance | AI Maturity | AI Maturity Assessment | AI Risk Management Framework | Agentic AI | CCPA | Cloud Architecture | Cloud Computing | DAMA | Data Architecture | Data Governance | Data Management | Data Maturity | Data Pipelines | Data Privacy | Data Quality | Data catalogue | Data maturity assessment | Data mesh | EU AI | EU AI Act | Embeddings | Enterprise Architecture | GDPR | ISO 42001 | Language Models | Large Language Models | Machine Learning | Management Framework | Master Data | Master Data Management | Maturity assessment | Metadata Management | Model Evaluation | Model Monitoring | NIST AI | NIST AI Risk | NIST AI Risk Management | NIST AI Risk Management Framework | Prompt engineering | RAG | Retrieval-Augmented Generation | Risk Management Framework | Supervised Learning | TOGAF | Unsupervised Learning
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