Senior Director – Enterprise D&A Cloud Transformation
- Location
- Bengaluru
- Work mode
- On-site
- Employment type
- Full-time
About the job
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
From IF1184 GE Vernova Hitachi Nuclear Energy Americas LLC's careers page (Workday), checked 27 Oct 2026.
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Posted 26 Oct 2026 · checked 27 Oct 2026 · Report this job