- Company Name
- FORTE ICT
- Job Title
- Sr. Director Enterprise Data and AI Platform (Lead Ai Global Role) Upto $250-$275KK basic, plus bonus and benefits
- Job Description
-
**Job Title**
Sr. Director, Enterprise Data & AI Platform
**Role Summary**
Strategic leader responsible for defining, designing, and executing a global enterprise data and AI platform on Azure. Drives data estate modernization, advanced analytics, and generative/agentic AI enablement to support all business functions. Manages a worldwide team of engineers, data scientists, and partners while aligning data strategy with business objectives.
**Expectations**
- 10+ years of senior leadership in enterprise data/AI, including ≥3 years as a director‑level leader.
- Proven ability to build and scale global, cross‑functional teams (onshore/offshore).
- Demonstrated success delivering cloud‑native data platforms and AI solutions at scale.
- Strong stakeholder management with senior business leaders across functions.
- Accountability for budget, vendor selection, and compliance frameworks.
**Key Responsibilities**
- Define and own the enterprise data and AI strategy, roadmap, and governance.
- Architect and maintain a modern data estate (data lake, warehouse, mesh, lakehouse) on Azure and integrate Snowflake/Databricks as needed.
- Lead the design, development, and operation of AI/ML platforms, MLOps pipelines, and generative/agentic AI use cases.
- Oversee data engineering, modeling, ETL/ELT, and performance engineering for high‑volume ingestion and cost‑optimized compute.
- Establish data governance, security, and regulatory compliance (HIPAA, GDPR, SOX, etc.).
- Manage budgets, vendor contracts, and partner ecosystems; negotiate and evaluate technology providers.
- Recruit, develop, and retain global talent; foster a collaborative culture and succession planning.
- Collaborate with business units (sales, marketing, finance, HR, legal, etc.) to translate requirements into data products and AI solutions.
**Required Skills**
- Cloud data platforms: Azure (Data Lake, Synapse, ADLS), AWS, Snowflake, Databricks.
- Modern data architectures: lakehouse, data mesh, streaming, data fabric.
- Generative AI & Agentic AI: LLMs, RAG, embeddings, fine‑tuning, operationalization.
- AI/ML platform & MLOps: model deployment, monitoring, governance, lifecycle management.
- Data governance & compliance: lineage, metadata, stewardship, HIPAA/GDPR/SOX.
- Data engineering: pipeline design, ETL/ELT, schema modeling, performance tuning.
- Budget and vendor management, contract negotiation.
- Strong communication, influencing senior stakeholders, and cross‑functional leadership.
**Required Education & Certifications**
- Advanced degree (MS or PhD) in Computer Science, Data Science, Machine Learning, or related field (preferred).
- Bachelor’s degree in a quantitative discipline (minimum).
- Relevant certifications (e.g., Azure Data Engineer, Azure AI Engineer, AWS Certified Data Analytics, SnowPro Core, Certified Data Management Professional) are a plus.