Assistant Vice President, Azure Data 26 AI Delivery Leader

Job Description

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

We are seeking a dynamic and visionary Azure Data & AI Delivery Leader to spearhead the execution of large-scale, enterprise-grade data transformation and AI initiatives on the Microsoft Azure platform. This leadership role is pivotal in driving innovation, ensuring delivery excellence, and maximizing business value for our global clients.

The ideal candidate will bring deep expertise in Azure cloud services, data engineering, and AI/ML solutions, along with a proven track record in leading complex transformation programs. This role demands strong client engagement, delivery governance, and the ability to lead high-performing, cross-functional teams.

Key Responsibilities:

- Lead end-to-end delivery of Azure-based data and AI programs, including legacy modernization and greenfield implementations.

- Define and implement delivery governance, best practices, and agile methodologies for scalable Azure solutions.

- Serve as the primary client interface, aligning delivery with strategic business goals and data-driven outcomes.

- Provide thought leadership in Azure data architecture, AI/ML integration, and real-time analytics.

- Build and mentor a world-class team of Azure architects, data scientists, engineers, and AI specialists.

- Drive continuous learning and certification across Azure, AI, and data engineering domains.

- Champion DevOps, CI/CD, and automation to accelerate delivery and improve quality.

- Stay ahead of emerging trends in Azure, generative AI, and cloud-native data platforms.

- Develop reusable frameworks, accelerators, and IP to enhance delivery efficiency and innovation.

- Ensure compliance with data governance, security, and regulatorystandards across all Azure solutions.

- Optimize performance, cost, and resilience of Azure data and AI platforms.

Technical Expertise:

- Azure Data Services - Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL, Cosmos DB

- Scenario-based architecture design

- Azure OpenAI integration

- 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 pipelines

- 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

- Proven track record in managing large-scale Azure programs, including legacy data migrations and new implementations.

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

- Strong expertise in Azure ecosystem, including 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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