Salary
💰 $180,000 - $270,000 per year
Tech Stack
AWSCloudCyber SecurityGoogle Cloud PlatformPythonSQLTableau
About the role
- 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
- 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
- Health insurance
- Short-term or annual bonuses
- Long-term incentives
- On-the-spot recognition
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
business intelligencedata analyticsdata warehousingsemantic layerscontext engineeringknowledge graphsSQLPythonGenAIAI/ML applications
Soft skills
leadershipstrategic advisingcommunicationcollaborationprogram managementvendor managementtrainingeducationadoption promotionperformance tracking
Certifications
bachelor's degreeMBA