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Director Predictive Analytics Jobs in Mississippi

Pepsico

Fleet Technician 3 (Entry Level)

Tupelo, MS · On-site

$29.85/hr

... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ... from direct supervisor) * Experience using shop tools (engine hoists, welding, changing tires ...

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Pepsico

Fleet Technician 3 (Entry Level) - Days

Greenwood, MS · On-site

$20.75 - $27.75/hr

... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ... from direct supervisor) * Experience using shop tools (engine hoists, welding, changing tires ...

PEG Staffing & Recruiting

Maintenance Manager

Pearl, MS · On-site

Maintenance Manager | Direct Hire 📍 Columbus, MS We're partnering with a well-established metal ... Experience with CMMS and preventive/predictive maintenance programs * Background supporting PLC ...

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Director Predictive Analytics information

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 are the key skills and qualifications needed to thrive as a director of predictive analytics?

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 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 Mississippi?

The most popular types of Predictive Analytics jobs in Mississippi are:

What cities in Mississippi are hiring for Director Predictive Analytics jobs?

Cities in Mississippi with the most Director Predictive Analytics job openings:

Director Predictive Analytics jobs near you

Director Data and Analytics Biloxi 5134

KEESLER FEDERAL

Biloxi, MS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

JOIN THE KEESLER FEDERAL CREDIT UNION TEAM!
Keesler Federal Credit Union team members enjoy competitive salaries and a wide range of benefits, some of which include:
  • Medical, dental, and vision insurance
  • Section 125 Flexible Spending Accounts for Health Care and Dependent Care expenses
  • Employee and Dependent Life Insurance
  • 401(k) Retirement Plan with 100% match on the first 5% contributed by you
  • Paid Leave
  • Tuition Reimbursement and Competitive Scholarships
  • Short-Term & Long-Term Disability Benefits
  • Employee Assistance Program

WE CURRENTLY DO NOT SPONSOR WORK RELATED VISAS
Position: Director of Data and Analytics
Department: Enterprise Applications
Reports to: VP - Enterprise Applications
FLSA: Exempt
Summary:
The Director of Data and Analytics will be responsible for establishing and leading the credit union's enterprise analytics strategy, enabling trusted, timely, and actionable data insights across all departments. A key part of this role is to create or enable measurable value in the enterprise, as it related to Data and Analytics. This senior leader will manage a growing team of analysts and engineers while also championing data governance, platform modernization, and cross-functional engagement with other business units. This role is critical to shaping the future of data at the credit union and delivering strategic measurable value through initiatives such as Member 360, performance scorecards, campaign analytics, and predictive modeling.
Essential Functions:
  • Develop and lead the enterprise data and analytics strategy, operating model, and multi-year roadmap.
  • Manage the data and analytics team including hiring, mentoring, and developing talent.
  • Oversee enterprise data sourcing, organizing, curation, visualization, reporting, and advanced analytics delivery through agentic AI and AI Analytics.
  • Collaborating with Enterprise Architects on platform scalability and architecture.
  • Ensure that data governance best practices are established and adhered to.
  • Measure data quality by assessing the datasets related to their business domain (e.g., correctness, completeness, timeliness of information in business context).
  • Track data literacy levels, as data literacy is the basis for becoming more data-driven as an organization (e.g., training delivered, skills attainment, staff performance).
  • Create a value-based story of how data and analytics capabilities are necessary to run a successful organization. Express business outcomes in terms of your stakeholders (e.g., in terms of revenue growth, or cost and risk reduction).
  • Collaborate across business units to deliver actionable insights and use cases.
  • Lead the design and implementation of Member 360, fraud detection, segmentation models.
  • Represent the data and analytics function in enterprise planning and technology forums.
  • Actively participate in budget planning and resource management for data and analytics capabilities.
  • Serve as escalation point for high-impact data or analytics issues.
  • Develop and own the enterprise data and analytics strategy and roadmap.
  • Lead a multi-disciplinary team of analysts, engineers, and data stewards.
  • Deliver advanced dashboards, KPIs, data pipelines, and self-service analytics.
  • Drive data governance, data quality, and operational standards.
  • Serve as the data thought partner to business unit leaders and the Executive team.
  • Collaborate with Enterprise Architects on platform architecture decisions.
  • Partner with IT, Security, Compliance, and other business stakeholders to deliver scalable and secure solutions.
  • Responsible for compliance with all Federal regulations including Bank Secrecy Act (BSA) and Office of Foreign Assets Control (OFAC).
Other Duties and Responsibilities:
  • Other duties as assigned.
Knowledge and Skills:
To perform this role effectively, the Director must demonstrate leadership, communication, and technical expertise across data analytics, governance, business intelligence, and organizational engagement.
Education:
Bachelor's degree in computer science, data science, or related field required, Master's degree preferred.
Experience and Other Requirements:
  • 10+ years of experience in data and analytics, business intelligence, or data engineering.
  • 4+ years in a leadership role in a related capacity.
Skills:
  • Experience delivering dashboards, predictive models, and enterprise analytics programs.
  • Knowledge of core and digital banking platforms such as Symitar, Alkami, MeridianLink, or similar financial banking systems.
  • Knowledge of other data platforms such as Fabric and Snowflake.
  • Experience managing cloud migration or data platform modernization projects.
  • Experience with predictive modeling, member segmentation, or machine learning use cases in financial services.
  • Advanced experience with developing and building high performing teams.
  • Experience with data governance, security, and compliance.
  • Proficiency with the Databricks data platform., visualization tools (e.g., Power BI), and modern analytics stacks.
  • Intermediate knowledge of HTML, Java, JavaScript, or SQL, SQL Tools, and ETL, tools.
  • Proven ability to partner effectively across all levels of the organization and develop positive working relationships.
  • Intermediate knowledge and experience with cloud technologies.
  • Demonstrated experience of understanding mid-level database, including proprietary and/or structured or open relational databases.
  • Familiarity with tactical frameworks, including Kanban and Scrum, as well as product-centric delivery models.
  • Comprehensive knowledge of evolving technologies in the financial industry.
  • A good understanding of the credit union industry.
  • Strong analytical and reasoning skills required.
  • Excellent communication/influence skills required, including reports; presentations; group facilitation skills; ability to develop professional relationships.
  • Must be able to manage multiple priorities simultaneously, establish and meet deadlines, coordinate activities with other departments, and perform job with accuracy and attention to detail.
  • Must be highly organized and capable of handling multiple tasks concurrently, able to redirect priorities based upon current workload (Ability to react to current situations).
  • Must be able to perform all functions independently with minimal supervision in a reasonable amount of time.
Interpersonal Skills:
Must possess strong interpersonal and influencing skills. Ability to collaborate and build relationships at all levels of the organization. Demonstrates high levels of emotional intelligence, diplomacy, and integrity.
Computer Skills:
(See Essential Functions, Education, and Experience Requirements above)
Certificates, Licenses and Registrations:
Professional certifications in data analytics or project management preferred.
Physical Demands:
The physical demands described here are representative of those that must be met by an individual to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the individual is regularly required to sit, kneel, crouch, stoop; use hands to finger, handle or feel; reach with hands and arms; and talk or hear. The individual is frequently required to stand and walk. The individual is frequently required to be able to lift and move up to ten pounds.
Work Environment:
The work environment characteristics described here are representative of those that must be met by an individual to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Extensive use of desktop computer is required. The noise level is that of a normal office environment. When working in designated secured areas, elevated noise levels are present.
Declaration:
The human resources department retains the sole rights and discretion to update this job description.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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