Anaplan · Posted 2w ago
Assistant Vice President of Data, Analytics & AI Engineering
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- Location
- 🇬🇧 Manchester, United Kingdom
- Contract
- Full-time
- Role
- Data leadership
- Source
- Stapply Data
Stack
- Snowflake
- Databricks
- Redshift
- SageMaker
- Vertex AI
- AWS
The posting
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. - Drive the implementation of advanced analytics, decision intelligence, and enterprise-grade multi-agent AI systems.
- 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 - 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 - Proven experience with AI/ML engineering and success deploying ML models into production, feature engineering, model serving, monitoring, MLOps - 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