ZipRecruiter

Log In

1

Executive Data Science Jobs in Ohio (NOW HIRING)

Greater Giving, Inc.

Principal Data Scientist

Cincinnati, OH · On-site

$165.30 - $249.68/hr

Collaborate with other Data Science leaders to establish an operating model for machine learning R& ... executive leadership. It's a bonus if you have * Experience in payments, fintech, or financial ...

A-TEK Inc.

Data Strategist

Continental, OH · Remote

$115K - $125K/yr

Develop executive dashboards and performance measurement strategies. * Facilitate data governance ... Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data ... Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data ... Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data ... Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data ... Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ...

AssetWatch, Inc.

Head of AI

Columbus, OH · On-site

... data science deeply enough to scope work directly, and help the company adapt as the technology and vendor ecosystem evolves. Reporting to the CEO, the role demands a blend of strategic vision ...

previous page

Showing results 41-60

All JobsData Science JobsExecutive Data Science JobsExecutive Data Science Jobs in Ohio

Executive Data Science information

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

What is the role of an executive data scientist?

An executive data scientist leads data science initiatives within an organization, translating complex data insights into strategic decisions. They often oversee teams, communicate findings to stakeholders, and require strong skills in analytics, leadership, and business acumen, along with proficiency in tools like Python, R, or SQL. Their role involves aligning data projects with organizational goals and ensuring impactful results.

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.
What are the most commonly searched types of Data Science jobs in Ohio? The most popular types of Data Science jobs in Ohio are:
What are popular job titles related to Executive Data Science jobs in Ohio? For Executive Data Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Executive Data Science jobs in Ohio look for? The top searched job categories for Executive Data Science jobs in Ohio are:
What cities in Ohio are hiring for Executive Data Science jobs? Cities in Ohio with the most Executive Data Science job openings:
Executive Data Science jobs near you
Infographic showing various Executive Data Science job openings in Ohio as of June 2026, with employment types broken down into 52% Full Time, 28% Part Time, and 20% Contract. Highlights an 100% In-person job distribution.

Program Manager AI and Data

Supply Technologies LLC

Cleveland, OH • On-site

$50.25 - $68/hr

Full-time

Posted 10 days ago

Supply Technologies rating

4.7

Company rating: 4.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Position Overview
We are seeking an execution-focused Program Manager for Data and AI to lead the digital transformation of our hybrid global supply chain network. In this role, you will bridge the gap between legacy operations, our modern SAP S/4HANA digital core, and advanced data science. You will orchestrate cross-functional teams to build scalable machine learning models and intelligent automation that consume and harmonize data across a fragmented ERP landscape. Your work will directly unlock the power of multi-system data to optimize inventory, embed predictive forecasting, and drive autonomous decision-making across our end-to-end supply chain.
Department: Information Technology / Data Science / Innovation
  • Reports To: Director of Data, Analytics and Development
  • Employment Type: Full-time or Contract to Hire
  • Location: On-Site
Key Responsibilities
Multi-ERP AI Strategy & Program Execution
  • Lead the end-to-end delivery roadmap for AI, machine learning, and advanced analytics initiatives across a hybrid ecosystem of modern SAP S/4HANA and legacy ERP systems
  • Manage schedules, milestones, dependencies, and resources for embedding intelligent technologies (e.g., SAP Business AI, custom cloud ML models) into diverse logistics and manufacturing workflows.
  • Orchestrate the deployment of predictive and generative AI models that harmonize data across fragmented systems to transform reactive workflows into unified, predictive operations.
  • Define and track program governance, agile delivery standards, and business ROI metrics for all data and AI deployments.

Data Harmonization & Integration Governance
  • Oversee the architectural orchestration of massive data volumes extracted from siloed legacy databases and SAP S/4HANA into unified cloud data platforms (e.g., SAP Datasphere, Snowflake, Databricks, AWS, or Azure).
  • Partner with data engineering teams to establish robust data cleansing, mapping, and harmonization pipelines, ensuring clean master data (materials, vendors, customers) across mismatched ERP platforms for AI model training.
  • Coordinate data extraction and ETL workflows across standard modules (e.g., SAP S/4HANA MM/SD/PP, legacy WMS, legacy TMS, and external IoT feeds).
  • Ensure hybrid data handling workflows comply with international logistics regulations, enterprise security policies, and global data privacy laws.

Stakeholder Alignment & Change Management
  • Serve as the central communication hub between executive supply chain leadership, legacy system technical teams, SAP functional analysts, and data science groups.
  • Translate highly complex data mapping, algorithmic methodologies, and hybrid architectural strategies into clear, value-driven business narratives for executive leadership.
  • Drive comprehensive change management and user-adoption frameworks to ensure plant, warehouse, and purchasing managers trust and adopt AI-driven recommendations despite underlying data fragmentation.
Technical Skills
  • ERP Landscape Expertise: Strong functional or technical familiarity with SAP S/4HANA core supply chain modules (MM, SD, PP) alongside an understanding of legacy transactional tables and relational databases.
  • Data Integration & Harmonization: Working knowledge of middleware, ETL/ELT pipelines, API frameworks, and cloud data ecosystems used to merge disparate data streams.
  • AI & Machine Learning: Foundational understanding of the machine learning lifecycle, predictive modeling, demand forecasting algorithms, or generative AI extensions for automated procurement and sourcing.
  • Methodologies: Expert mastery of Agile, Scrum, and SAP Activate or hybrid project deployment methodologies alongside delivery applications like Jira or Azure DevOps.

Equal Opportunity Employer
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.

What Supply Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply