Description

The Director of Data Analytics is responsible for leading the institution's data analytics strategy and overseeing programs that transform data into actionable insights. This role manages analytics teams, implements advanced tools and technologies, and develops methodologies to support data-driven decision-making. By leveraging data to inform business intelligence and improve operational efficiency, the Director ensures that analytics initiatives align with organizational goals and deliver measurable value. Additionally, the role includes setting individual and team goals, designing an effective organizational structure to achieve those objectives, evaluating employee and group performance, providing constructive feedback, and making informed compensation decisions. This responsibility ensures that personnel performance aligns with institutional priorities while fostering a culture of accountability, professional development, and continuous improvement.

Responsibilities
Job Duty 1 - 
Develop and execute data analytics strategies, roadmaps, and initiatives to enable data-driven decision-making, predictive analytics, and business insights within the organization.

Job Duty 2 - 
Lead a team of data analysts, data scientists, and BI developers in designing, implementing, and managing data analytics solutions, data models, and analytical tools.

Job Duty 3 - 
Define data analytics standards, data governance policies, and reporting requirements to ensure data accuracy, consistency, and accessibility for business users across the organization.

Job Duty 4 - 
Oversee the selection, integration, and management of data analytics tools, data visualization platforms, and predictive modeling technologies to support reporting, data analysis, and data-driven decision-making.

Job Duty 5 - 
Manage data analytics projects, data integration efforts, and data visualization implementations to deliver data analytics solutions that meet user needs, drive operational efficiencies, and support data-driven decision-making.

Job Duty 6 - 
Monitor data analytics performance metrics, data quality indicators, and user adoption trends to track data analytics effectiveness, identify areas for improvement, and drive continuous enhancement of data analytics capabilities.

Job Duty 7 - 
Implement data governance practices, data security measures, and compliance controls to protect sensitive data, ensure data privacy, and comply with regulatory requirements in data analytics operations.

Job Duty 8 - 
Stay informed about data analytics trends, analytics methodologies, and emerging technologies through continuous learning, industry research, and professional development to enhance data analytics expertise, drive innovation, and deliver valuable data insights that empower decision-makers within the organization.

Job Duty 9 - 
Collaborate with business stakeholders, department heads, and IT teams to identify data analytics requirements, prioritize data analytics projects, and align data analytics initiatives with business goals and KPIs.

Job Duty 10 - 
Perform other duties as assigned.

Requirements

Preferred Qualifications
Preferred Educational Qualifications
Master's degree in related discipline or equivalent, related experience.

Preferred Qualifications
 
Experience analyzing datasets, creating effective data visualizations, and preparing concise reports and executive summaries for leaders in a research organization, including the senior research officer (e.g., Executive Vice President for Research).
Experience assessing and synthesizing large and complex data sets from multiple sources.
Experience partnering with data stewards, system owners, IT, and governance bodies to align data definitions, integrations, quality standards, and governance across complex administrative systems.
Experience translating research data and business operations data into actionable insights to inform executive level strategy, planning, budgeting, and operational oversight.
Experience using advanced analytics and business intelligence tools to develop dashboards, analytical models, and decision support tools for operational leaders.  
Experience working with R/ Python.v