[Remote] Vice President - Data & AI Engineering
Note: The job is a remote job and is open to candidates in USA. VDart is a global IT staffing and digital solutions provider seeking a Vice President of Data & AI Engineering to lead enterprise data strategy and AI data platforms. This role involves overseeing the design and delivery of modern data architectures, driving AI-ready data foundations, and partnering with leadership to enhance client transformation and revenue growth.
Responsibilities
- 5+ years in data engineering, data architecture, analytics, or AI-related leadership roles
- Experience with cloud data platforms including Databricks, Snowflake, Microsoft Fabric, AWS, or Google Cloud
- Experience with enterprise data governance programs
- Experience supporting AI and machine learning initiatives
- Experience leading multi-million-dollar transformation programs
- Consulting or professional services leadership experience preferred
- Experience building reusable frameworks, accelerators, and intellectual property
- Enterprise Data Strategy
- Establish best practice for
- Data platforms and modernization
- Data governance
- Master data management
- Metadata and cataloging
- Data quality and observability
- Data security and compliance
- Data products and domain ownership
- Semantic layers and business context
- Develop reusable frameworks and methodologies that can be applied across clients and industries
- Own the data capabilities that enable successful AI adoption
- Lead initiatives involving:
- AI-ready data estates
- Enterprise knowledge architectures
- Retrieval Augmented Generation (RAG)
- Vector databases and semantic search
- Agentic data access patterns
- Data contracts and governance
- Enterprise memory systems
- Knowledge graphs and semantic models
- Data lineage and traceability
- Serve as executive sponsor and technical leader for strategic client engagements
- Provide leadership across:
- Data modernization programs
- Cloud data platform initiatives
- Data governance transformations
- AI readiness assessments
- Data operating model transformations
- Data strategy and architecture engagements
- Enterprise AI platform implementations
- Partner with delivery teams to ensure quality, consistency, and successful outcomes
- Work closely with the AI Office and vertical leadership teams to develop market-facing data and AI offerings
- Support:
- Executive workshops
- AI readiness assessments
- Data estate modernization offerings
- Data governance services
- AI platform implementations
- Thought leadership content
- Industry speaking engagements
- Sales pursuits and solutioning
- Act as a senior executive presence in client conversations and strategic opportunities
- Build and scale Data & AI Engineering practice
- Responsibilities include:
- Talent acquisition and development
- Technical mentorship
- Capability planning
- Delivery standards
- Reusable accelerators and IP
- Partnership development
- Training and certification programs
- Create a world-class team capable of supporting enterprise-scale data and AI transformations
- Partner with the AI Office to modernize own data capabilities
- Drive initiatives related to:
- Internal data platforms
- Enterprise reporting and analytics
- AI governance and monitoring
- Data stewardship
- AI observability
- Data quality automation
- Knowledge management
- AI-ready operating models
- Help establish as a living example of the capabilities we bring to clients
- Successful candidates will demonstrate:
- Executive-level communication skills
- Deep expertise in modern data platforms
- Strong understanding of AI and generative AI architectures
- Experience leading large-scale transformation programs
- Ability to connect technical decisions to business outcomes
- Strong client-facing consulting experience
- Track record of building and scaling teams
- Ability to operate in a fast-moving, entrepreneurial environment
- This leader will be measured on:
- Growth of Data & AI Engineering revenue
- Client satisfaction and delivery outcomes
- Expansion of data capabilities
- Development of reusable IP and accelerators
- Team growth and talent development
- AI readiness and modernization outcomes delivered to clients
- Contribution to AI strategy and market positioning
Skills
- 5+ years in data engineering, data architecture, analytics, or AI-related leadership roles
- Experience with cloud data platforms including Databricks, Snowflake, Microsoft Fabric, AWS, or Google Cloud
- Experience with enterprise data governance programs
- Experience supporting AI and machine learning initiatives
- Experience leading multi-million-dollar transformation programs
- Experience building reusable frameworks, accelerators, and intellectual property
- Enterprise Data Strategy
- Executive-level communication skills
- Deep expertise in modern data platforms
- Strong understanding of AI and generative AI architectures
- Experience leading large-scale transformation programs
- Ability to connect technical decisions to business outcomes
- Strong client-facing consulting experience
- Track record of building and scaling teams
- Ability to operate in a fast-moving, entrepreneurial environment
- Consulting or professional services leadership experience preferred
Company Overview
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