Assistant Vice President, Azure Data %26 AI Delivery Leader

0 years

0 Lacs

Posted:2 days ago| Platform: Foundit logo

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On-site

Job Type

Full Time

Job Description

Inviting applications for the role of Assistant Vice President, Azure Data & AI Delivery Leader

AI initiatives

Azure cloud services

Key Responsibilities:

  • end-to-end delivery

  • implement delivery governance, best practices, and agile methodologies

  • primary client interface

  • Azure data architecture, AI/ML integration

  • Azure architects, data scientists, engineers

  • continuous learning and certification

  • DevOps, CI/CD, and automation

  • emerging trends

  • reusable frameworks, accelerators, and IP

  • data governance, security, and regulatory

  • performance, cost, and resilience

Technical Expertise:

  • Azure Data Services

  • Scenario-based architecture design

  • OpenAI

  • Discuss ethical AI and responsible AI practices in Azure

  • Enterprise Architecture & Strategy

  • Cloud-native architecture principles

  • Data mesh, data fabric concepts

  • Review of past architecture artifacts or reference models

  • Strategic roadmap planning for data modernization

  • DevOps & CI/CD for Data & AI

  • Azure DevOps, GitHub Actions

  • Infrastructure as Code (ARM, Bicep, Terraform)

  • MLOps

  • Designing, data pipeline with CI/CD

  • Security, Compliance & Governance

  • Role-Based Access Control (RBAC)

  • Data encryption, masking, and classification

  • Regulatory frameworks (GDPR, HIPAA, etc.)

  • Design secure data architecture for a regulated industry

  • Project Management, Coordination, governance and closure of successful project delivery.

  • Managing escalations and customer interactions.

Qualifications we seek in you!

Minimum Qualifications

  • Bachelor's degree in computer science, Engineering, or a related field (Master's or MBA preferred).

  • experience in IT Services, experience in Azure and cloud-based data solutions.

Preferred Qualifications/ Skills

  • large-scale Azure programs

  • Deep understanding of data engineering, ETL, and cloud-native architectures.

  • Streams, Tasks, Data Sharing, and Performance Optimization.

  • Experience with cloud platforms (AWS, GCP).

  • Proficiency in SQL, Python, Spark, and modern data processing frameworks.

Preferred Certifications:

  • Certified Azure Solution Architect.

  • Cloud certifications (AWS Certified Data Analytics, Google Cloud Architect, or equivalent).

  • PMP, ITIL, or SAFe Agile certifications for delivery governance.


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