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Director Predictive Analytics Jobs in Ohio (NOW HIRING)

Maverick Direct Inc.

SAP/ABAP Developer

Cleveland, OH · Remote

$100K/yr

... predictive analysis. * Training & Support to optimize all reporting and analytical functions across all Business systems. Jim Replogle Talent Acquisition Manager Maverick Direct [email protected] 330 ...

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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 Ohio? The most popular types of Predictive Analytics jobs in Ohio are:
What cities in Ohio are hiring for Director Predictive Analytics jobs? Cities in Ohio with the most Director Predictive Analytics job openings:
Director Predictive Analytics jobs near you
Infographic showing various Director Predictive Analytics job openings in Ohio as of May 2026, with employment types broken down into 100% Full Time. Highlights an 93% In-person, and 7% Remote job distribution.
Predictive Maintenance Specialist - Power Technical SME

Predictive Maintenance Specialist - Power Technical SME

Vertiv Group Corp.

Westerville, OH • On-site

Full-time

Posted 20 days ago

Vertiv rating

6.8

Company rating: 6.8 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

316th of 415 rated machine equipment manufacturers

Job description

Job Description
POSITION SUMMARY
We are seeking a Predictive Maintenance Specialist - Power Technical SME to join our Digital Services team. In this role, you will be the subject matter expert for analyzing system data and driving insights that improve the performance of digitally enabled Power products. You'll collaborate with engineering, technical support, and field service teams to ensure data accuracy, troubleshoot complex issues, and deliver innovative solutions that enhance customer outcomes. This position offers the opportunity to influence product performance, contribute to strategic initiatives, and play a key role in shaping the future of digital power management.
The ideal candidate will bring deep expertise in Power systems diagnostics, delivering actionable insights for predictive remediation in mission-critical environments, and champion continuous improvement initiatives. Experience with digital platforms for data analysis is highly desirable. Familiarity with predictive analytics concepts, machine learning applications, and data center operations is preferred.
RESPONSIBILITIES
  • Serve as the subject matter expert in interpreting parametric, telemetric, diagnostic, and alarm data for Predictive Maintenance of digitally enabled Power products.
  • Partner with engineering, technical support, and field service teams to validate event data and ensure accuracy across digital platforms.
  • Analyze and resolve performance issues, providing remediation strategies and technical guidance to field technicians and customers.
  • Advance the analysis, validation, and troubleshooting of Power system data to improve reliability, efficiency, and service quality.
  • Collaborate with Global Engineering teams on the development and advancement of Power algorithm capabilities by identifying, mapping and correlating telemetry and diagnostic data, alarms, events, and incidents, improving incident implementation, detecting and response effectiveness.
  • Collaborate with Global Engineering teams on the integration and refinement of Power data models within Digital Services systems.
  • Collaborate with Global Engineering teams on the integration and refinement of Power data models within Digital Services systems.
  • Apply best practices and innovative approaches to optimize product management and drive continuous improvement.
  • Lead the development of technical documentation, knowledge articles, and support resources for Digital Services in relation to Power products.
  • Monitor industry trends and emerging technologies, recommending process and platform enhancements.
  • Participate in customer engagements, on-site escalations, special projects, and strategic initiatives as assigned.

QUALIFICATIONS
Minimum Qualifications: (education, experience level, knowledge, skills, certifications).
  • Bachelors' degree in Electrical Engineering, related field or equivalent Military experience required.
  • Minimum of five years' experience interacting with customers at a technical level required within the Data Center environment.
  • Working knowledge of digital service solutions, with a focus on leveraging these platforms to monitor, analyze, and troubleshoot data from Power systems.
  • Familiarity with Predictive Maintenance programs is plus.
  • Experience and Knowledge of Vertiv Power products is a plus.
  • Deep expertise in Power dynamics and proven ability to analyze complex Power systems.
  • At least 5 years of experience in Power systems diagnostics and remediation.
  • Experience working with proprietary cloud-based platforms for data analysis is highly desirable.
  • Understanding of machine learning concepts and their application in predictive analytics is a plus.
  • Experience in data center environments is strongly preferred.
  • Experience interfacing with global or international teams is a plus.
  • Experience with Power system ancillary controls like BMS, MODBUS, CAN communications, and PLC is a plus.
  • Excellent writing and verbal communication skills.
  • Excellent organizational and time management skills.
  • Strong leadership skills with a proven ability to direct, build, and lead technical teams.
  • Possess a positive attitude and flexibility in a rapidly changing environment.
  • Detail oriented and self-motivated with the ability to work without direct supervision.
  • Proficient PC skills including all Microsoft Office products and web-based technologies.
  • Able to read and interpret electrical diagrams, drawings and blueprints.
  • Strong skill sets: Customer service skills, troubleshooting skills, analytical skills, safety minded, Microsoft Office and web-based technology, mechanical aptitude.
  • Interpersonal skills, professional, reliable, team player.

POSITIONS ELIGIBILITY REQUIREMENTS (travel, location, etc.)
  • 20% travel will be required, work flexible schedules, and maintain valid driver's license.

About the Team
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

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