Data Strategy

Note To Applicants Eligibility: This position is open to candidates residing in Latin America. Application Language: Please submit your CV in English. Applications submitted in other languages will not be considered. Professional Presentation: We encourage you to showcase your professional experience by including a Loom video in the application form. While this is optional, candidates who provide a video presentation will be given priority. Position Summary The Data Strategy & Reporting Manager will lead the development, governance, and optimization of PHSU’s institutional data ecosystem. This role is responsible for collecting, cleaning, organizing, and integrating data from multiple university systems—including Jenzabar, Salesforce, Anthology, and Element451—into a centralized data warehouse or data lake solution. The position will ensure that data is accurate, accessible, and actionable for strategic, operational, and executive decision‑making across the institution. The ideal candidate blends strong technical skills with an ability to work collaboratively with cross‑functional academic, enrollment, finance, and marketing teams. They will also create a consistent institutional reporting framework, including quarterly strategic updates, monthly performance dashboards, weekly operational metrics, and daily platform‑powered snapshots. Key Responsibilities Data Integration & Architecture Assess current data sources (Jenzabar, Salesforce CRM, Anthology, Element451, marketing platforms, KPI trackers, etc.) and define an end‑to‑end integration strategy. Lead the implementation of a modern data warehouse or data lake solution (Azure, AWS, Snowflake, etc.). Build and maintain data pipelines and ETL/ELT processes to ensure continuous, accurate data flow. Map data fields across systems and ensure standardized definitions and naming conventions. Integrate new platforms, applications, and data sources as PHSU’s technology ecosystem evolves. Data Quality, Governance & Management Clean, transform, and validate datasets to ensure accuracy, completeness, and consistency. Develop data governance policies, including data definitions, metadata, and data stewardship standards. Maintain data dictionaries and documentation for internal teams. Prevent data duplication and data integrity issues across platforms. Cross‑Functional Collaboration Work closely with Enrollment, Academics, Marketing, Finance, IT, and Institutional Research. Lead working sessions on data mapping and requirements gathering. Translate business needs into technical specifications and analytics outputs. Provide training to functional teams on dashboards, metrics, and definitions. Reporting & Analytics Strategy Build a standardized and scalable reporting ecosystem that includes: Quarterly Strategic Report: high‑level KPIs, market trends, campaign performance, academic outcomes, and strategic indicators. Monthly Strategic Performance Report: progress toward goals, YTD comparisons, funnel health, academic metrics, financial indicators. Weekly Operational Report: metrics for enrollment funnel, marketing performance, academics, and student services. Daily Reports: automated, platform‑generated snapshots for daily operations. Design dashboards, scorecards, and automated reports using BI tools (Power BI, Tableau, Looker, etc.). Ensure leadership and teams have real‑time visibility into KPIs and trends. Performance, Insights & Optimization Build forecasting models and goal‑tracking frameworks. Partner with Marketing to centralize investment, campaign, and channel‑performance data. Continuously optimize data pipelines and integrations for speed and reliability. Key Competencies Strategic thinking Attention to detail Problem‑solving Technical expertise Cross‑functional communication Project management Data visualization and storytelling Accountability and follow‑through If this opportunity sounds good to you, send us your resume Seniority level : Mid‑Senior level Employment type : Full‑time Job function : General Business Industries : Business Content #J-18808-Ljbffr