Senior Director – Enterprise D&A Cloud Transformation

GE Vernova · Bengaluru

Job Description Summary

The Senior Director, Enterprise D&A Cloud Transformation, will lead one of the company's largest and most strategic digital transformation programs: the migration of our Vernova Data Lake, Analytics, and AI platform ecosystem from AWS to Microsoft Azure.

This leader will own the end-to-end migration strategy, governance, execution, and operational readiness required to transition Databricks, Tableau, HVR, enterprise data pipelines, analytics solutions, AI/data agent capabilities, web applications, and supporting platform services to Azure while ensuring business continuity and minimal disruption.

The role requires a unique blend of executive leadership, large-scale program management, cloud architecture knowledge, data and analytics expertise, organizational change management, and operational excellence. The successful candidate will lead a matrixed global organization comprised of architecture, engineering, analytics, governance, operations, cybersecurity, PMO, and business teams to deliver a modern, scalable, secure, and cost-effective Azure-enabled data ecosystem.

Job Description

Essential Responsibilities

1. Enterprise Transformation Leadership

Serve as the executive leader accountable for the migration of the enterprise Data & Analytics ecosystem from AWS to Azure.

Establish and execute the overall transformation strategy, roadmap, governance model, and operating cadence.

Define success criteria, business outcomes, milestones, risk management processes, and executive reporting mechanisms.

Drive alignment across executive leadership, business stakeholders, technology teams, cybersecurity, finance, and external partners.

Ensure the transformation delivers measurable improvements in scalability, agility, performance, resilience, and cost optimization.

2. Program Management Office (PMO) Leadership

Establish and lead the transformation PMO organization.

Lead overall program governance, project planning, dependency management, forecasting, risk mitigation, and executive communications.

Build and oversee program management, Agile, SAFe, release planning, and portfolio management disciplines.

Develop executive dashboards, program health metrics, RAID processes, and leadership updates.

Coordinate onboarding and mobilization of internal teams, contractors, consulting partners, and technology vendors.

3. Cloud & Platform Architecture Leadership

Partner with Enterprise Architecture and Cybersecurity teams to define target-state Azure architecture and migration strategy.

Establish platform standards including Landing zones, CI/CD frameworks, Infrastructure-as-Code, Environment strategy, Monitoring and observability, FinOps controls, Security architecture, Naming conventions & Platform governance

Drive decisions regarding Azure services, Databricks architecture, networking, identity management, platform resiliency, disaster recovery, and operational support models.

Ensure platform scalability, performance, reliability, and compliance requirements are achieved.

4. Data Platform Modernization

Lead migration and modernization of Databricks platforms, Data Lake environments, HVR replication capabilities, Enterprise Data Lake services, Data-as-a-Service platforms, API and integration services, Data Agent capabilities and Custom-built data services

Govern migration sequencing, dependency management, and cutover planning.

Ensure successful coexistence of AWS and Azure environments throughout the transition period.

5. Data Architecture, Semantic Models & AI Enablement

Establish enterprise standards and governance for, Data architecture, Data modeling, Medallion architecture (Bronze, Silver, Gold), Semantic models, Metadata management, AI and Data Agents

Lead the centralized architecture function responsible for best practices, reusable patterns, standards, and design governance.

Ensure consistency and scalability across business domains and analytics products.

6. Engineering Delivery Leadership

Lead global teams of Data Architects, Data Engineers, Platform Engineers, and Solution Architects.

Drive migration execution across domains, business units, and functional areas.

Establish engineering productivity metrics, quality standards, development frameworks, and deployment processes.

Ensure timely delivery of migration waves while maintaining platform stability and operational performance.

7. Analytics Transformation Leadership

Oversee migration and modernization of enterprise analytics solutions including: Power BI, Tableau, Oracle Analytics, Financial Data Solutions, Executive dashboards and, Self-service analytics environments

Drive adoption of modern analytics, semantic modeling, and enterprise reporting standards.

Ensure accuracy, performance, scalability, and business continuity throughout migration activities.

8. Operational Analytics & Platform Intelligence

Establish enterprise-wide operational analytics for platform health and adoption.

Develop capabilities to monitor: Platform usage, User adoption, Capacity utilization, System performance, Cost optimization, Service quality, Data integrity and SLA compliance

Implement proactive alerting, observability, and automated monitoring capabilities.

9. Governance, Risk & Compliance

Partner closely with Cybersecurity, Privacy, Internal Audit, and Compliance organizations.

Ensure compliance with: SOX requirements, PII controls, Data protection regulations, Enterprise governance standards and Security and access controls

Drive governance frameworks, control validation, audit readiness, and remediation activities.

Establish enterprise standards for lineage, metadata, data quality, access management, and policy enforcement.

10. Quality Engineering & Automated Validation

Establish a comprehensive testing and validation strategy that minimizes business user involvement.

Implement automated testing frameworks for: Data validation, Data reconciliation, Data integrity, Platform testing, Dashboard testing, Report validation, Regression testing and Performance testing

Ensure automated comparisons between AWS and Azure environments at table, pipeline, semantic model, and dashboard levels.

Achieve high-confidence migration cutovers through robust testing and validation processes.

11. Data Operations & Service Excellence

Lead development of the target-state operational support model.

Establish monitoring, support, incident response, knowledge management, runbooks, and service management processes.

Drive operational readiness and transition planning for all migrated platforms and capabilities.

Ensure support organizations are equipped to manage Azure-native operations at scale.

12. Change Management & Business Transition

Lead enterprise-wide change management, communications, training, and adoption efforts.

Develop detailed migration, cutover, and transition strategies.

Ensure business teams continue delivering outcomes throughout the migration lifecycle.

Drive the objective of near-zero business disruption during all phases of the transformation.

Coordinate production cutovers, hypercare, stabilization, and post-go-live support activities.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, Data & Analytics, or related field.

15+ years of experience leading large-scale technology, data, analytics, or cloud transformation programs.

10+ years of progressive leadership experience managing global teams and complex enterprise portfolios.

Demonstrated leadership of multi-year cloud migration or modernization initiatives involving data platforms and analytics ecosystems.

Strong knowledge of: Microsoft Azure, Databricks, Data Lake architectures, Data integration platforms, Analytics and BI ecosystems, Data governance and Cybersecurity and compliance frameworks
Experience managing large budgets, vendor relationships, and strategic technology partnerships.

Strong executive presence with proven ability to communicate effectively across technical, business, and executive audiences.
Preferred Qualifications
- Experience leading enterprise-scale AWS-to-Azure migrations.
- Experience with Databricks, Tableau, Power BI, HVR, Data-as-a-Service platforms, AI/ML platforms, and modern data architectures.
- Strong understanding of Medallion Architecture, semantic models, metadata management, knowledge graphs, ontologies, and AI agents.
- Experience operating within highly regulated, global enterprise environments.
- Certifications such as: Azure Solutions Architect Expert, Azure Administrator, Databricks Certified Professional, PMP, PgMP, SAFe Program Consultant (SPC), SAFe Agilist

Additional Information

Relocation Assistance Provided: No

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