Director- Data Analytics

Job Details

Job

Location:

Atlanta, Georgia

Contract type:
Full-Time

Temporary type:
Regular

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our strategic plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship.

Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security.

Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.

2. We strive for excellence.

3. We thrive on diversity.

4. We celebrate collaboration.

5. We champion innovation.

6. We safeguard freedom of inquiry and expression.

7. We nurture the wellbeing of our community.

8. We act ethically.

9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

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…