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Director Predictive Analytics Jobs in Georgia (NOW HIRING)

Job Summary The Director of Data Analytics is responsible for leading the institution's data ... predictive analytics, and business insights within the organization. Job Duty 2 - Lead a team of ...

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Director Predictive Analytics information

What are the key skills and qualifications needed to thrive as a Director of Predictive Analytics, and why are they important?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What are the typical collaboration points for a Director of Predictive Analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a Director of Predictive Analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer or Director of Predictive Analytics, which can offer salaries exceeding $150,000 annually. These roles typically require advanced skills in data modeling, leadership, and experience with tools like Python, R, or SQL.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What are the most commonly searched types of Predictive Analytics jobs in Georgia? The most popular types of Predictive Analytics jobs in Georgia are:
What cities in Georgia are hiring for Director Predictive Analytics jobs? Cities in Georgia with the most Director Predictive Analytics job openings:

Job description

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.

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.

Required Qualifications

Educational Requirements
Bachelor''s degree in related discipline or equivalent, related experience.
Required Experience
8+ years of relevant experience, including 4+ years of supervisory knowledge.

Preferred Qualifications

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

Preferred Qualifications

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