AVP, Head of Enterprise Insights – Generative BI

Role Overview

• Define and execute a multi-year strategy for Enterprise Insights (Business Intelligence including Generative BI) aligned with business goals
• Modernize legacy BI platforms and establish a GenBI Center of Excellence
• Evaluate emerging technologies (e.g., conversational BI) to enhance competitive advantage
• Expertise in integrating semantic/ontology-driven BI platforms with emerging GenAI tools to deliver contextual, personalized insights.
• Build and lead a high-performing GenBI team of BI professionals and GenAI experts
• Build discoverable insights into an Insights Marketplace.
• Develop and promote standardized best practices for enterprise BI and GenBI development
• Champion adoption of these standards across diverse and decentralized teams
• Manage vendor relationships and track performance via OKRs
• Lead product management for BI solutions, data platform products (IaaS/PaaS), and Third Party Data from ideation to execution
• Ensure product alignment with business and internal customer goals and roadmaps
• Develop and deploy GenAI-powered BI solutions including real-time dashboards, predictive models, and automated NLP-driven reporting
• Create intuitive, personalized user experiences to drive adoption
• Act as a strategic advisor to senior leadership, translating data into actionable insights
• Partner across functions to deliver tailored BI solutions and communicate complex data effectively
• Collaborate across Enterprise Data Services, AI & Analytics, and business functions to maintain platform roadmaps and prioritize requirements
• Oversee program management to deliver committed platform capabilities
• Lead Third Party Data strategy teams to integrate and utilize external data sources effectively
• Manage business requirements and vendor relationships for third party data
• Promote a data-driven culture through training and education on GenBI tools and best practices
• Collaborate with cybersecurity and governance teams to ensure ethical, secure, and compliant GenBI deployment
• Stay current with BI and GenAI trends
• Pilot and implement new technologies to continuously enhance BI capabilities

Requirements

• Minimum of 12+ years of experience in business intelligence, data analytics, and/or data warehousing, with a proven track record of leadership.
• Experience implementing robust semantic layers, sophisticated context engineering and knowledge graphs with ontology.
• Extensive experience with modern BI solutions (Tableau, ThoughtSpot, Strategy etc.) integrated with complex cloud data ecosystems on AWS & GCP.
• Experience with related platforms & services, including Vertex AI, knowledge graphs, vector databases, data warehouses (preferably Snowflake) etc.
• Significant experience building, deploying, and managing GenAI or other AI/ML applications in an enterprise environment.
• Expertise in SQL, Python, or other relevant scripting languages for data manipulation and analysis.
• Experience with product management in an enterprise setting.
• A bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Information Systems, or Business Administration).
• MBA or equivalent business education preferred to ensure alignment of BI/GenBI strategy with financial, operational, and customer outcomes.

Tech Stack

• AWS
• Cloud
• Cyber Security
• Google Cloud Platform
• Python
• SQL
• Tableau

Benefits

• Other rewards may include short-term or annual bonuses
• long-term incentives
• and on-the-spot recognition