Own the Analytics & AI Strategy: Define and execute a roadmap aligned to business priorities—balancing immediate reporting needs with long-term platform scalability and maturity
Drive Business Impact: Partner directly with cross-functional leaders to identify opportunities where analytics and AI can improve performance, reduce cost, and enable strategic decision-making
Deliver Scalable Solutions: Oversee the end-to-end design and delivery of analytics platforms, dashboards, data models, and reporting solutions that are secure, high-performing, and user-friendly
Improve Data Quality & Accessibility: Lead data integration efforts across multiple sources, establish data quality standards, and resolve root-cause data issues to ensure trusted, reliable insights
Champion Data Governance: Enforce enterprise data governance, privacy, and security standards while ensuring compliance with regulatory and audit requirements
Operationalize Excellence: Own platform performance, monitoring, and support models—driving continuous improvement through automation, performance metrics, and user feedback
Manage Projects & Portfolio: Oversee multiple concurrent initiatives, managing scope, timelines, resources, risks, and stakeholder communication to ensure on-time, high-quality delivery
Advance AI Capabilities: Lead the development and deployment of predictive models and forecasting solutions; drive adoption of AI-powered features within BI tools (e.g., Copilot, automated insights)
Establish AI Best Practices: Implement standards for model lifecycle management (build, validate, deploy, monitor, retrain) while ensuring solutions are explainable, ethical, and aligned with governance standards
Drive Innovation: Stay ahead of emerging trends in analytics and AI, evaluate new technologies, and continuously improve tools, processes, and delivery capabilities
Minimum Qualification
Bachelor’s degree in information systems, Computer Science, Data Science, Business Analytics, or related field.
7+ years of experience in data analytics, data engineering, or business intelligence, including leadership or supervisory experience.
Proven track record implementing and managing enterprise analytics platforms, data warehouses, and advanced analytics solutions.
Hands-on experience with analytics and BI tools (e.g., Power BI, Tableau, Qlik, OBIEE), SQL, and modern data platforms (e.g., Snowflake, Databricks, Azure, AWS, or GCP).
Experience with data governance, MDM, and enterprise data management frameworks.
Demonstrated experience leading or delivering AI and machine learning initiatives, including predictive models, forecasting, or AI features embedded in BI platforms, with working knowledge of model lifecycle management and responsible-AI practices.
Strong project management and communication skills for both technical and executive audiences.
Master’s degree (MBA, MIS, or related).
Familiarity with ITIL, TOGAF, or other enterprise architecture and service management frameworks.
