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Assistant Vice President of Data, Analytics & AI Engineering

Anaplan

Skills

Required

  • AI
  • AWS
  • Databricks
  • AI/ML
  • modern data architecture environment
  • Deep Datawarehouse/lakehouse
  • Redshift
  • streaming / batch
  • APIs
  • ELT

Preferred

  • ML
  • AI/ML engineering
  • feature engineering
  • model serving
  • monitoring
  • MLOps
  • database

Join Anaplan as the Assistant Vice President of Data, Analytics & AI Engineering. In this critical executive role, you will be responsible for the strategic vision, architecture, development, and scaling of our enterprise data platforms and AI solutions. You will lead a high-performance engineering team and work directly with key executives to drive automation and strategic decision-making across the company.

Lead the strategic vision, architecture, development, and scaling of enterprise data platforms and AI solutions.

Oversee a team responsible for turning enterprise data assets into high-performance, compliant, and secure intelligence frameworks.

Responsibilities

  • Drive the implementation of advanced analytics, decision intelligence, and enterprise-grade multi-agent AI systems.
  • Exceptional ability to translate complex agentic systems, context-engineering strategies, and distributed database details into clear, business-relevant narratives for non-technical and executive boards

Requirements

  • Leadership experience of 12+ years in data and software engineering environments, with at least 5 years in a senior manager or executive role leading cross-functional teams
  • Experience moving to modern data architecture environment, with Deep Datawarehouse/lakehouse (AWS Redshift, Databricks), streaming/batch, APIs, data products, ELT, CDC, structured + unstructured data experience
  • Strong familiarity with core technical stack - cloud data ecosystems (eg. Snowflake, Databricks, Vertex AI, AWS Sagemaker)
  • Education: Bachelor’s or Master’s degree, Computer Science, Data Engineering, AI/ML, Math or a highly quantitative field of study

Preferred

  • Proven experience with AI/ML engineering and success deploying ML models into production, feature engineering, model serving, monitoring, MLOps