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Manager Implementation Science Jobs in Ohio (NOW HIRING)

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level ... Make and implement process improvements and efficiencies. * Create training materials and user ...

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level ... Make and implement process improvements and efficiencies. * Create training materials and user ...

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level ... Make and implement process improvements and efficiencies. * Create training materials and user ...

Dean, Computer Science

Cleveland, OH · On-site

$125K - $145K/yr

... implementation of a coherent and compelling vision, strategy and plan of delivery that engages and ... Develops college-wide strategic enrollment management for the School including the recruitment ...

... implementation of a coherent and compelling vision, strategy and plan of delivery that engages and ... Develops college-wide strategic enrollment management for the School including the recruitment ...

Showing results 41-60

Manager Implementation Science information

What is a Manager Implementation Science?

A Manager Implementation Science is a professional who leads and coordinates projects that translate scientific research into practical applications, particularly in healthcare, public health, or organizational settings. Their role involves overseeing teams, designing strategies to implement evidence-based practices, evaluating outcomes, and ensuring interventions are effectively integrated into real-world environments. They often bridge the gap between research and practice by collaborating with stakeholders, analyzing data, and promoting continuous improvement. This position requires strong leadership skills, expertise in implementation science methodologies, and experience in project management.

What are the key skills and qualifications needed to thrive as a Manager Implementation Science?

To thrive as a Manager Implementation Science, you need advanced knowledge in implementation science methodologies, research design, and project management, typically supported by a master's or doctoral degree in public health, healthcare, or a related field. Familiarity with data analysis software (e.g., SPSS, R), evidence-based practice frameworks, and experience with grant writing or regulatory requirements is often required. Strong leadership, communication, and stakeholder engagement skills help drive adoption of research findings across interdisciplinary teams. These skills ensure effective translation of evidence into practice, improving organizational outcomes and advancing public health initiatives.

What are some common challenges faced by a Manager Implementation Science when leading cross-functional teams?

As a Manager Implementation Science, you may encounter challenges such as aligning diverse stakeholders with varying priorities, translating complex research findings into actionable strategies, and ensuring consistent communication across departments. Successfully navigating these challenges often requires strong project management skills, the ability to foster collaboration, and a talent for bridging the gap between research and practice. Building trust and clarity among team members is key to effective implementation and achieving organizational goals.

What is the difference between Manager Implementation Science vs Implementation Specialist?

AspectManager Implementation ScienceImplementation Specialist
Required CredentialsBachelor's or Master's in Public Health, Healthcare, or related field; experience in implementation scienceBachelor's degree; experience in healthcare or program implementation
Work EnvironmentOversees teams, develops strategies, manages projects in healthcare or research settingsSupports implementation activities, conducts training, assists in project execution
Employer & Industry UsageHealthcare organizations, research institutions, public health agenciesHealthcare providers, public health programs, community organizations

The Manager Implementation Science typically has a broader leadership role, overseeing implementation projects and teams, while the Implementation Specialist focuses on supporting and executing specific implementation activities. Both roles require relevant experience, but the manager often has more strategic responsibilities and higher qualifications.

What are the most commonly searched types of Implementation Science jobs in Ohio?

The most popular types of Implementation Science jobs in Ohio are:

What are popular job titles related to Manager Implementation Science jobs in Ohio?

For Manager Implementation Science jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Manager Implementation Science jobs?

Cities in Ohio with the most Manager Implementation Science job openings:

Infographic showing various Manager Implementation Science job openings in Ohio as of September 2026, with employment types broken down into 84% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Data Science Manager

Bath, OH • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Overview

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 13 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

Position Summary

Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional who enjoys transforming complex procurement, logistics, and enterprise systems data into actionable insights through analytics, automation, dashboards, data modeling, and decision-support solutions for Air Force stakeholders.

The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force Protection, and Nuclear Integration (HQ AFMC/A4/10) has the AFMC mission responsibility to: shape the workforce and infrastructure to provide logistics, sustainment, and installation support for acquisition logistics, supply management, depot maintenance, and base-level logistics operations, and deliver responsive strategic facility and infrastructure oversight and over-arching direction for all Major Command (MAJCOM) security operations…resulting in war-winning expeditionary capabilities.

In this position, the selected candidate will support enterprise data modernization efforts by helping connect data across systems, improve data quality, identify trends, develop meaningful visualizations, and translate business needs into scalable analytics and business intelligence solutions.

Responsibilities include, but are not limited to the duties listed below:
  • Provide professional services in support of the Digital Materiel Management (DMM) initiative as defined in the PWS.
  • Support DMM modernization efforts by providing integrated tools for contract data normalization, analysis, and analytics to facilitate Air Force-wide insight into procurement data.
  • Utilize current and future DoD and Air Force IT systems to connect procurement data and generate tools and visualizations for the procurement community.
  • Perform professional and administrative tasks in support of the contracting functional community’s DMM efforts.
  • Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization.
  • Acquire and analyze data and metrics across the enterprise to determine how they can be incorporated into data visualizations and dashboards.
  • Conduct exploratory data analysis, trend analysis, and data quality assessments to uncover patterns, risks, opportunities, and actionable insights that support operational and strategic decision-making.
  • Collaborate with business areas and project teams to elicit, identify, prioritize, and document data visualization and business intelligence requirements.
  • Translate complex data findings into clear narratives, dashboards, and data stories that enable non-technical stakeholders to understand key insights and make informed decisions.
  • Serve as a functional and technical data visualization and business intelligence subject matter expert.
  • Translate business analysis and business needs into prototype concepts for reports and dashboards and contribute to design and visualization best practices.
  • Utilize business intelligence tools to take dashboard requirements and develop deliverable solutions.
  • Create and update Python scripts for data translation from multiple sources.
  • Support data pipeline, data integration, and automation activities by working with structured and unstructured data from multiple enterprise systems and applying repeatable, scalable approaches to data transformation.
  • Serve as a functional and technical Robotic Process Automation (RPA) subject matter expert.
  • Document data acquisition, data management, and data governance processes.
  • Promote data governance, metadata management, data lineage, and standardization practices to improve consistency, usability, and trust in enterprise data assets.
  • Make and implement process improvements and efficiencies.
  • Create training materials and user guides.
  • Conduct group and one-on-one training sessions with end users.
Education, Requirements and Qualifications:
  • Must have an active or current Secret security clearance, or higher.
  • BA/BS degree and at least three (3) years of experience in the respective technical/professional discipline being performed, with proper certifications required in the labor category performance requirements
  • OR six (6) years of directly related experience.
  • Knowledgeable in enterprise software development and the acquisition life cycle, with applied knowledge of Government program management skills and document preparation.
  • Ability to use Government-provided office automation tools.
  • Knowledge of federal and Department e-business and contracting systems, analytics platforms, and data tools, including but not limited to Conwrite, Automated Contract Preparation System (ACPS), CON-IT, Advana, CDO-VALT, Program Management Resource Tools (PMRT), Federal Procurement Data System-Next Generation (FPDS-NG), Procurement Integrated Enterprise Environment (PIEE) suite, Electronic Document Access (EDA), Wide Area Workflow (WAWF), ABSS, ERP systems, SQL, Python, UiPath, Qlik Sense, QlikView, Tableau, Power BI, Power Apps, Power Automate, data modeling, dashboard development, data visualization, data transformation, and business intelligence reporting.
  • Extensive knowledge of the federal acquisition process, including in-depth experience with the Federal Acquisition Regulation (FAR), Defense Federal Acquisition Regulation Supplement (DFARS), Department of the Air Force Federal Acquisition Regulation Supplement (DAFFARS), and DoD and Air Force acquisition instructions.
Preferred Experience:
  • Hands‑on experience with Python, SQL, Power BI, Tableau, Qlik, Power Apps, Power Automate, UiPath, or similar tools for dashboards, reporting, automation, and data-driven solutions.
  • Experience leveraging AI/ML, Generative AI, predictive analytics, or automation technologies to improve data-driven decision-making, business process efficiency, and operational outcomes within DoD, Air Force, or federal environments.
  • Experience with data pipelines, integration, transformation, cleansing, validation, data modeling, governance, metadata, or data lineage.
  • Ability to apply exploration analysis, trend analysis, statistical analysis, predictive analytics, or machine learning concepts to support business insights and decision-making.
  • Strong ability to present complex data insights through clear dashboards, visualizations, narratives, and recommendations for technical and non-technical stakeholders.
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
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