Chief Digital Officer
Role details
Job location
Tech stack
Job description
The Ask? Client is looking for a Chief Digital Officer who can engage senior technology leaders (CIO, CEO, CTO) and help them modernize legacy data environments into modern AI-ready data platforms. This leader will drive enterprise transformation initiatives by articulating a compelling business and technology value proposition around modern data architectures, analytics, and AI platforms. The ideal candidate is a consultative enterprise seller who understands both business outcomes and modern data technology stacks, and can guide customers from legacy data warehouses toward modern lakehouse, cloud data, and AI platforms.
The ideal candidate is someone who worked as a CDO in multiple manufacturing domain and helped them in their DX Transformation journey. Someone who can be an advisor to a clients, * Own and drive strategic enterprise sales for data modernization and AI platform initiatives.
- Build relationships with C-level executives (CIO, CTO, CDO, VP Data, VP Analytics).
- Develop multi-million-dollar transformation deals around data and AI platforms.
- Value-Based Consulting
- Engage customers to understand:
- Legacy data warehouse challenges
- Data silos
- Analytics scalability
- AI readiness gaps
- Articulate a clear value proposition around modernization, cost optimization, agility, and AI enablement.
- Data & AI Platform Modernization/Guide customers in transformation initiatives such as:
- Legacy EDW modernization
- Data lake / lakehouse adoption
- Cloud data platform migration
- AI/ML data foundation
- Real-time analytics architectures
- Data governance and data mesh
- Create a multi-year modernization roadmap aligned to business outcomes.
- Build business cases for:
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Cloud migration o Data platform modernization o AI enablement o Coordinate with architecture, delivery, and partner teams.
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Thought Leadership o Position the company as a trusted advisor in Data + AI transformation. o Conduct executive workshops, data strategy sessions, and architecture discussions. o Participate in industry events and advisory conversations with senior executives.
The candidate should understand modern enterprise data ecosystems including:
Modern Data Platforms
- Snowflake
- Databricks
- Azure Synapse / Fabric
- AWS Data Platform
- Google BigQuery
- Oracle Autonomous / AI Data Platform
Architecture Patterns
- Data Lakehouse
- Modern Data Warehouse
- Data Mesh
- Streaming Data
- AI/ML data pipelines
- Real-time analytics
- AI Enablement
- Data foundation for AI
- Generative AI data pipelines
- ML Operation
- Enterprise AI governance
Requirements
- 15-20+ years of progressive IT leadership experience, including enterprise architecture and digital transformation.
- Proven track record of managing large-scale IT programs and workforce operations.
- Strong expertise in enterprise platforms, application development, and modern IT ecosystems.
- Demonstrated success in developing and executing digital transformation strategies.
- Excellent leadership, stakeholder management, and communication skills.