Head of Enterprise Data Analytics

4 weeks ago

Pasig, Philippines Converge ICT Solutions Inc. Full time

Role Summary Leads strategy, execution, and governance of enterprise data analytics initiatives Oversees analytics, BI, and data science to support data-informed decisions, innovation, and operational excellence Partners with business and IT to scale analytics platforms and insights across the organization Experience 10+ years in data analytics roles At least 5 years in senior or leadership-level analytics roles Experience in enterprise environments and digital transformation programs Certifications (Preferred) Google Data Engineer, AWS Certified Data Analytics, Azure Data Scientist Associate CDMP, PMP, or similar data/analytics certifications Tools & Platforms Power BI, Tableau, Looker, Qlik Snowflake, BigQuery, Databricks Python, R, dbt, Airflow Familiar with CI/CD and DevOps for analytics pipelines Skills & Competencies Strategic Leadership Develop and align analytics strategy with corporate goals Drive enterprise-wide analytics maturity and value realization Data Storytelling Translate complex analytics into actionable insights Engagement with C-level stakeholders Technical Acumen Strong background in data engineering, modeling, and advanced analytics Familiarity with AI/ML use cases and platforms Stakeholder Engagement Proven experience influencing across business, IT, and executive levels Compliance and Governance Knowledge of data privacy, regulatory, and compliance standards Ensures secure and ethical data usage across the enterprise Innovation Mindset Constantly explores emerging analytics tools and trends Able to lead experiments and innovation pilots Key Responsibilities Enterprise Analytics Strategy Set the vision, roadmap, and priorities for analytics across the company Align data and analytics initiatives with strategic transformation goals Data Platform Ownership Build and optimize cloud-native and hybrid analytics infrastructure Ensure scalable and secure data lake/warehouse environments Advanced Analytics & AI Enablement Lead the design and delivery of predictive, prescriptive, and AI models Collaborate with data scientists and business units for impactful use cases BI & Reporting Governance Standardize enterprise dashboards, KPIs, and reporting tools Promote self-service analytics culture with proper guardrails Team Leadership & Development Manage and grow a team of analysts, engineers, data scientists, and BI developers Champion upskilling and modern data practices Stakeholder Alignment Gather requirements, prioritize initiatives, and deliver insights to C-level executives Translate business questions into data use cases Data Governance & Quality Partner with governance and engineering to maintain metadata, lineage, and quality Enforce consistent data definitions and access policies Performance Measurement Define KPIs for analytics programs Monitor business impact and continuously improve Innovation & Emerging Tech Evaluate new technologies (e.g., GenAI, AutoML, graph analytics) Lead proofs of concept and strategic innovation pilots #J-18808-Ljbffr

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