AVP, Data, Analytics & AI Engineering

At Anaplan we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers success and to our Winning Culture.

Our customers rank among the whos who in the Fortune 50. Coca-Cola LinkedIn Adobe LVMH and Bayer are just a few of the 2400 global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas we behave like leaders regardless of title we are committed to achieving ambitious goals and we love celebrating our wins big and small.

Supported by operating principles of being strategy-led values-based and disciplined in execution youll be inspired connected developed and rewarded here. Everything that makes you unique is welcome; join us and lets build whats next - together!

About the Role:

The AVP Data Analytics & AI Engineering is the executive leader responsible for the strategic vision architecture development and scaling of our enterprise data platforms and AI solutions. This individual will lead a team tasked with turning enterprise data assets into high-performance compliant and secure intelligence frameworks that drive automation and strategic decision-making across the entire company. The role bridges the gap between modern cloud data stack engineering and emerging AI paradigms (like LLMOps and Agentic workflows). This individual will ensure that Anaplan engineering standards drive direct measurable business value while maintaining top-tier data security governance and responsible AI practices.

Your Impact

This is a critical role that requires an executive and organizational leader with a high degree of enterprise transformation leadership discretion and the ability to lead multiple priorities in a fast-paced sales-driven SaaS environment. This individual will work directly with the CFO CRO CHRO CIO and Product leaders while building a high-performance engineering team.

Key Responsibilities:

• Create Advanced Analytics/Decision Intelligence driving predictive analytics propensity forecasting experimentation causal thinking optimization.
• GenAI/Agent Engineering that is essential to the enterprise agent strategy MCP RAG embeddings/vector search tool calling agent architecture evaluation grounding orchestration. Architect and govern the Enterprise Agentic AI Strategy deploying multi-agent frameworks and LLM-powered tools at scale.
• Architect and deploy enterprise-grade multi-agent AI systems for complex multi-step workflows integrating with ERP CRM and ITSM to automate high-value decisions end-to-end.
• Design internal AI tools and agents (e.g. AI Finance Bot domain-specific LLM applications) and lead the roadmap for next-generation agentic platforms as emerging capabilities mature.
• DriveData Governance & AI Readiness quality lineage observability catalog access controls PII retention AI data governance.
• Provide business context to aSemantic & Context Architecture with metrics layer business ontology entity relationships metadata knowledge graphs/semantic models.
• Scale the team build mentor motivate and lead high-performance team across Data Engineering Analytics Engineering and AI Engineering.
• Partner collaborativelywith business units product teams security legal and compliance teams to deliver AI and data solutions that align to enterprise goals.
• Drive Anaplan beyond pipelines feeding dashboards into aModern Data Architecture environment.

Your Qualifications

• Education: Bachelors or Masters degree Computer Science Data Engineering AI/ML Math or a highly quantitative field of study.
• 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.
• Strong familiarity with core technical stack - cloud data ecosystems (eg. Snowflake Databricks Vertex AI AWS Sagemaker).
• 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.
• Proven experience with AI/ML engineering and success deploying ML models into production feature engineering model serving monitoring MLOps.
• 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.

Our Commitment to Diversity Equity Inclusionand Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce enhances trust with our partners and customers and drives business success. Build your career in a place where diversity equity inclusion and belonging arent just words on paper this is what drives our innovation its how we connect and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued regardless of gender identity or expression sexual orientation religion ethnicity age neurodiversity disability status citizenship or any other aspect which makes people unique. We hire you for who you are and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process perform essential job functions and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Fraud Recruitment Disclaimer

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals mainly through telephone calls emails and correspondence claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.

Anaplan does not:

• Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
• Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.

All emails from Anaplan would come from an @ email address. Should you have any doubts about the authenticity of an email letter or telephone communication purportedly from for or on behalf of Anaplan please send an email to before taking any further action in relation to the correspondence.

Candidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications.