Director of Data Analytics

Job Summary

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.

• Develop and execute data analytics strategies, roadmaps, and initiatives to enable data-driven decision-making, predictive analytics, and business insights within the organization.
• Lead a team of data analysts, data scientists, and BI developers in designing, implementing, and managing data analytics solutions, data models, and analytical tools.
• Define data analytics standards, data governance policies, and reporting requirements to ensure data accuracy, consistency, and accessibility for business users across the organization.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Perform other duties as assigned.

• Bachelor’s degree in related discipline or equivalent, related experience.

• 8 years of relevant experience, including 4 years of supervisory knowledge.

• Master’s degree in related discipline or equivalent, related experience.

• Experience leading complex, multi-faceted activities and supporting mission-critical projects for a complex research enterprise.
• Demonstrated ability to translate research administrative and institutional data into actionable insights that inform executive level strategy, planning, budgeting, and operational oversight.
• Experience leading or significantly contributing to research-focused major initiatives that include reporting, benchmarking, and external reporting requirements, including peer comparisons and public or federal research datasets.
• Proven experience partnering with data stewards, system owners, IT, and governance bodies to align data definitions, integrations, quality standards, and governance across complex administrative systems.
• Hands on experience with advanced quantitative and qualitative analytics and business intelligence tools to develop dashboards, analytical models, and decision support tools for operational leaders in complex institutional environments.

This role is focusing on the business side of Data Analytics and not the Scientific side