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VP Data Management - Architecture
Skills
Agentic AI DevelopmentAmazon Web ServicesConsultingData ArchitectureData StrategiesData WarehousingDatabricks
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 15+ years of Enterprise Data Management experience
- 10+ years of consulting experience strongly preferred
- 7+ years of experience leading global teams
- Practical experience with Snowflake and Databricks
- Cloud architecture and implementation focused on Data Management
- Experience in Data Architecture Data Engineering Data Governance/Quality or MDM
- Experience with programming or scripting and performance optimization
- In depth understanding of API constructs
- Experience with Big Data best practices and Hadoop stack
- Experience with streaming or messaging technologies
- Understanding of ETL ELT CDC data warehousing data marts pipeline orchestration and enterprise scheduling
- Strong SDLC knowledge including CI/CD data pipeline automation and deployment strategies
- Experience working with business and IT functions across corporate cultures
- Strong communication skills to translate complex technical and business concepts
- Strong experience in interviewing and group facilitation
- Expertise with AWS Azure Google Cloud Snowflake and Databricks
- Ability to architect solutions based on customer requirements
- Ability to travel for client engagements
- Knowledge of agentic and generative AI patterns for Data Management
- Ability to design secure governed auditable data architectures for AI agents
- Experience with AI-enabled data quality metadata enrichment lineage discovery anomaly detection and pipeline remediation
- Understanding of responsible AI practices including guardrails evaluation human review observability cost management and traceability
- Ability to advise clients on AI readiness governance maturity data quality operating models and high-value use cases
Nice to have
- Executive presence
- Trusted advisor
- Critical thinking
- Analytical problem-solving
- Quick learner
- Strong presentation skills
- Multi-tasking
- Client relationship building
Day to day
- Lead enterprise data management solution design across architecture governance quality engineering analytics and visualization.
- Partner with clients and internal teams to shape data strategies evaluate technologies and deliver measurable business value.
- Oversee complex EDM projects guide technical teams and support presales growth through proposals estimates and client relationship management.
Hiring process
- Participating in prospect/client meetings
- Crafting and delivering content/presentations
- Developing engagement proposals and responding to RFP’s
- Creating solution cost estimates TCO and resource plan
- Conducting product demos
