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VP Data Management - Architecture

Skills
Agentic AI DevelopmentAmazon Web ServicesConsultingData ArchitectureData StrategiesData WarehousingDatabricks
Role

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