Data & AI Strategy Senior Manager
Tasks
- Advise C suite on AI adoption risks and mitigation
- Conduct data system current state analysis
- Conduct market competitive and trend analysis
- Convert business objectives into data and ML problem definitions
- Define AI driven data capability vision
- Define AI use cases and success metrics
- Define governance and privacy frameworks for AI workloads
- Define training datasets data quality thresholds and privacy constraints
- Drive data maturity and AI maturity assessments
- Drive data quality data architecture and MDM strategy
- Embed governance privacy ethical guardrails and explainability into AI workflows
- Lead data governance policies procedures and frameworks
- Manage RFI RFP and presales engagements
- Measure AI initiative impact using model and business metrics
- Mentor and manage consulting team
- Own coordination with business and delivery stakeholders
- Prioritize data and AI investments
Perks/Benefits
Skills/Tech-stack
AI Act | AI RMF | AI architecture | Agentic AI | Alation | Ataccama | CCPA | Collibra | DAMA | Data Architecture | Data Catalog | Data Governance | Data Management | Data Privacy | Data Quality | Data Quality Metrics | Data mesh | EU AI | EU AI Act | Embeddings | GDPR | HIPAA | ISO 42001 | Lakehouse | Language Models | Large Language Models | Machine Learning | Master Data | Master Data Management | Metadata Management | Model Evaluation | Model Monitoring | NIST AI | NIST AI RMF | Prompt engineering | Python | Quality metrics | RAG | Security | Supervised Learning | TOGAF | Unity Catalog | Unsupervised Learning
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