Global Head of Enterprise Insights responsible for executing enterprise-wide Generative AI strategy. Driving innovation and fostering a data-driven culture in business intelligence capabilities.
Responsibilities
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.
Benefits
Other rewards may include short-term or annual bonuses
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