Vice President, Business Intelligence - Advanced Analytics

This mandate modernizes BI and establishesAI-driven BIas a core enterprise capability-raising the standard for modeling and visualization, operationalizing conversational analytics throughLLMsandDatabricks Genie, and advancing the organization fromdescriptive and predictiveanalytics towardprescriptiveinsights. The role partners directly with senior leadership and carries enterprise-wide visibility and accountability to accelerate decision velocity, drive adoption, and maximize ROI through a durableinsight-to-action operating model.

As the Vice President, Business Intelligence - AI & Advanced Analytics within our enterprise analytics organization, you will modernize BI and establish AI-promoten BI as a core enterprise capability.

Job responsibilities

• Serve as the primary BI partner to senior and executive stakeholders, aligning analytics priorities to strategy, surfacing forward-looking insights, and influencing without authority to drive outcomes.

• Own requirements-to-value delivery across the BI lifecycle, from problem framing and success criteria through UAT, deployment, adoption, and impact measurement, with clear ownership and SLAs.

• Architect and govern the semantic layer: define logical structures, business rules, and metric definitions for Engineering to implement mentor the team on modeling trade-offs and performance optimization.

• Deliver AI-enabled BI: implement LLM-powered natural language querying (e.g., Databricks Genie), design domain-specific AI assistants, and integrate predictive analytics into decision flows progressively build prescriptive capabilities as maturity grows.

• Set and enforce visualization standards personally build and review high-impact Sigma and Tableau assets that emphasize usability, performance, and guided analysis.

• Establish and run an insight-to-action governance model that prioritizes findings, assigns accountable owners, and tracks outcomes to closure communicate benefits, trade-offs, and risks transparently to senior leaders.

• Define and track portfolio impact metrics - including adoption, decision velocity, decision quality, and ROI - and apply disciplined, risk-adjusted prioritization.

• Lead change management and enablement to drive adoption, including training, quick-reference content, and executive-ready briefings.

• Build team capability through upskilling, code and modeling reviews, visualization critiques, and recruiting hybrid talent with domain and technical depth.

• Maintain a continuous improvement backlog iterate post-go-live based on feedback and decommission low-value artifacts.

Required qualifications, capabilities and skills

• 10+ yearsin BI/Analytics experience.

• 3+ yearsleading teams deliveringenterprise-scale BI.

• Demonstrated expertise inlogical data modeling.

• Demonstrated expertise insemantic data modelingandsemantic layer design.

• Provenmetric stewardship(definition, ownership, consistency).

• Hands-on withSigmaandTableau, includingperformance optimization.

• Buildsgoverned self-service analyticswithrow-level securitycontrols.

• Fluent inAdvanced SQLandPythonfor analytics engineering.

• Experience operationalizingLLMs/NLP/conversational AIinside BI workflows.

• Strongprompt engineeringcapability and familiarity with tools likeDatabricks Genie.

• Strengths indata governance/metadata management,applied statistics & hypothesis testing, rigorousrequirements decomposition/documentation, andexecutive-ready communicationwith provensenior stakeholder managementand cross-functional influence.

Preferred qualifications, capabilities and skills

• Experience deployingnatural-language queryingovergoverned data. Experience buildingdomain-specific AI assistantsaligned tobusiness taxonomy.

• Ability to map user intents tostandardized terms, metrics, and definitions. Proven track record ofdriving adoption at scaleacross teams.

• Demonstratedchange management and enablement(training, comms, documentation).

• Evidence that solutions operate withinsecurity/entitlements and governance controls.

• Stronger fit withmeasurable ROI(e.g., time saved, reduced reporting, faster decisions, business impact).

• Ability to turn ambiguity into precise analytical problems and drive urgent insight-to-action, with crisp executive communication and cross-functional influence across Business, Finance, Operations, and Technology.