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Manager Statistical Programming Jobs in Ohio (NOW HIRING)

Munich Re

Data Scientist, AI

Amelia, OH · On-site

... DevOps. Skills / Knowledge / Experience: * Develop and project manage modeling projects and statistical analyses. * Effectively communicate results to business partners and help drive business ...

Munich Re

Data Scientist, AI

Dayton, OH · On-site +1

... DevOps. Skills / Knowledge / Experience: * Develop and project manage modeling projects and statistical analyses. * Effectively communicate results to business partners and help drive business ...

Safelite Group, Inc.

Lead Data Scientist

Columbus, OH · On-site

Advanced experience with top statistical programming languages (R or Python) * Experience working ... Experience collaborating with data engineering and data management teams to deploy models in ...

Munich Re

Data Scientist, AI

Akron, OH · On-site +1

... DevOps. Skills / Knowledge / Experience: * Develop and project manage modeling projects and statistical analyses. * Effectively communicate results to business partners and help drive business ...

The Scotts Company LLC

Quantitative Analyst

Columbus, OH · On-site

$77K - $90K/yr

While grounded in statistical programming (R) and rigorous research methodologies, the analyst will ... Manage multiple analytical projects simultaneously, partnering with qualitative analysts and ...

Trivium Packaging

Process Engineer

Youngstown, OH · On-site

The Process Engineer will lead operational excellence projects, from initiation to completion ... Demonstrated success in process improvements and project management. * Statistical Analysis ...

Kimball Midwest

E-Commerce Data Analyst

Columbus, OH · On-site

Manage multiple projects simultaneously while meeting deadlines in a fast-paced environment ... Experience with statistical programming languages such as R or Python. * Experience developing ...

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All JobsStatistical Programming JobsManager Statistical Programming JobsManager Statistical Programming Jobs in Ohio

Manager Statistical Programming information

See Ohio salary details

$80.3K

$140K

$236.7K

How much do manager statistical programming jobs pay per year?

As of Jul 11, 2026, the average yearly pay for manager statistical programming in Ohio is $140,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $152,100.00 per year, depending on experience, location, and employer.

What is a Manager Statistical Programming job?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the typical daily responsibilities of a Manager Statistical Programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.

What are the key skills and qualifications needed to thrive in the Manager Statistical Programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

What are popular job titles related to Manager Statistical Programming jobs in Ohio? For Manager Statistical Programming jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Manager Statistical Programming jobs in Ohio look for? The top searched job categories for Manager Statistical Programming jobs in Ohio are:
What cities in Ohio are hiring for Manager Statistical Programming jobs? Cities in Ohio with the most Manager Statistical Programming job openings:
Manager Statistical Programming jobs near you

Data Scientist, AI

Munich Re

Amelia, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Drive the future of AI-powered decision-making by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.
American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion.
Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re's Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.
Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy models and verify system performance, and monitor models post-deployment, making adjustments as needed. Join us in building AI/ML models that truly drive business value and make a measurable impact.
Roles & Responsibilities:
  • Build and deploy AI/ML models with general guidance.
  • Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing.
  • Participate in the development of modeling presentations and present results/topics to stakeholders (internal & external) and management as requested.
  • Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
  • Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
  • Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
  • Document and communicate assumptions, results, and alternatives to team members and internal stakeholders with guidance.
  • Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
  • Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden issues and explain possible solutions in their language.
  • Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
  • Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.

Required Technical Skills:
  • Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge.
  • Demonstrated experience building and deploying statistical and machine learning models to address business challenges.
  • Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.
  • Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.
  • Familiarity with tools such as MLflow for model experimentation and registration, Git for version control, and agile frameworks using tools like Azure DevOps.

Skills / Knowledge / Experience:
  • Develop and project manage modeling projects and statistical analyses.
  • Effectively communicate results to business partners and help drive business decisions.
  • Participate in creation and discussion of best practices and propose new techniques.
  • Mentor junior team members.
  • Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry.
  • Sr. Data Scientist: 4 or more years of data science/predictive analytics experience in (re)insurance or 6 or more years predictive modeling experience in another industry.

Education, Certifications & Designations:
  • Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:
  • Two options for your health insurance plan (PPO or High Deductible)
  • Prescription drug coverage (included in your health insurance plan)
  • Vision and dental insurance plans
  • Short and Long Term Disability coverage
  • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
  • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)

In addition to the above insurance offerings, our employees also enjoy:
  • A robust 401k plan with up to a 5% employer match
  • A retirement savings plan that is 100% company funded
  • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
  • Eligibility to receive a yearly bonus as a Munich Re employee
  • A variety of health and wellness programs provided at no cost
  • A hybrid environment that gives you a choice in where and how you get work done
  • A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
  • An on-site complimentary workout facility as well as walking trails on campus grounds
  • On-site wellness center complete with nurse practitioner
  • Financial assistance for adoptions and infertility treatment
  • Paid time off for eligible family care needs
  • Tuition assistance and educational achievement bonuses
  • Free parking
  • A corporate matching gifts program that further enhances your charitable donation
  • Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Applicants requiring employer sponsorship of a visa will not be considered for this position.
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