About this role
Anaplan builds an AI-infused scenario planning and analysis platform designed to optimize business decision-making and help global customers outpace the market. The AVP, Data, Analytics & AI Engineering will serve as the executive leader directing the architecture, development, and scaling of enterprise data platforms and artificial intelligence solutions. This person will lead initiatives ranging from modern cloud data stack engineering to emerging paradigms like LLMOps and agentic workflows, transforming corporate data assets into secure, high-performance intelligence frameworks.
Operating in a fast-paced, sales-driven SaaS environment, the incoming leader will collaborate directly with executive stakeholders including the CFO, CRO, CHRO, and CIO while building and mentoring a high-performance engineering team. Ideal candidates bring extensive leadership background in data and software engineering, a deep understanding of multi-agent AI systems, and the ability to translate complex technical architectures into actionable business strategies for executive boards.
What you will do
- Formulate advanced analytics and decision intelligence capabilities encompassing predictive modeling, propensity forecasting, optimization, and causal thinking.
- Architect and govern an enterprise agentic AI strategy by deploying multi-agent frameworks, retrieval-augmented generation, and LLM-powered tools at scale.
- Design internal AI applications and agents to automate complex, multi-step workflows across ERP, CRM, and ITSM systems.
- Drive comprehensive data governance and AI readiness initiatives covering data quality, lineage, observability, cataloging, and PII protection.
- Establish semantic and context architectures that incorporate a metrics layer, business ontology, knowledge graphs, and entity relationships.
- Build, mentor, and lead a high-performance organization spanning data engineering, analytics engineering, and AI engineering.
- Partner cross-functionally with product, security, legal, and business units to deliver compliant and secure data solutions.
What you need
- Hold a Bachelor's or Master's degree in Computer Science, Data Engineering, AI/ML, Mathematics, or another highly quantitative field.
- Demonstrate at least 12 years of leadership experience within data and software engineering environments.
- Bring a minimum of 5 years of experience in a senior manager or executive role leading cross-functional teams.
- Possess strong familiarity with core cloud data ecosystems such as Snowflake, Databricks, Vertex AI, and AWS Sagemaker.
- Show proven expertise in moving toward modern data architectures utilizing deep data warehouses, lakehouses, streaming and batch pipelines, and APIs.
- Demonstrate hands-on experience with AI/ML engineering, model deployment into production, feature engineering, and MLOps.
- Exhibit an exceptional ability to translate complex agentic systems and distributed database details into clear narratives for executive boards.
Skills and tech stack
Questions candidates ask
What kind of team environment will I be leading?
You will build, mentor, motivate, and lead a high-performance team across Data Engineering, Analytics Engineering, and AI Engineering within a fast-paced, sales-driven SaaS environment. The team operates under a winning culture that champions diversity of thought, acting like leaders regardless of title, and committing to ambitious goals.
What are the primary technical focuses for this role?
The role bridges the gap between modern cloud data stack engineering and emerging AI paradigms like LLMOps and agentic workflows. You will focus on advanced analytics, multi-agent AI systems, semantic architecture, and transitioning the company into a modern data architecture environment.
Who will I be working with across the organization?
You will work directly with the CFO, CRO, CHRO, CIO, and Product leaders while partnering collaboratively with business units, security, legal, and compliance teams.
How does Anaplan approach the hiring process and recruitment security?
Anaplan does not extend job offers without an extensive interview process via video or in person with a recruitment team member and hiring manager. All offers are first extended verbally by an internal recruitment team member whenever possible and followed up via written communication from an @anaplan.com email address.