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Director Data Science Jobs in Ohio (NOW HIRING)

Munich Re

Principal Data Scientist

Cleveland, OH · On-site +1

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

New

Munich Re

Principal Data Scientist

Amelia, OH · On-site +1

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

New

Munich Re

Principal Data Scientist

New Bremen, OH · On-site +1

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

New

Munich Re

Principal Data Scientist

Chillicothe, OH · On-site +1

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

New

Munich Re

Principal Data Scientist

Columbus, OH · On-site +1

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

New

Munich Re

Principal Data Scientist

Dayton, OH · On-site +1

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

New

Munich Re

Principal Data Scientist

Amelia, OH · On-site

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

Munich Re

Principal Data Scientist

Cincinnati, OH · On-site +1

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

New

Munich Re

Principal Data Scientist

Circleville, OH · On-site +1

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

New

McKesson

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis ... direct authority, building relationships across multiple functions, and listening to input and ...

CoverMyMeds

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis ... direct authority, building relationships across multiple functions, and listening to input and ...

McKesson

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Understanding of data science methodologies includingdecision trees, multivariate analysis ... direct authority, building relationships across multiple functions, and listening to input and ...

Avery Dennison

Data Scientist

Mentor, OH · Hybrid

$77K - $116K/yr

AVY) is a global materials science and digital identification solutions company. We are Making ... Translate Quality business requirements into clear technical specifications, directing relevant IT ...

Avery Dennison

Data Scientist

Mentor, OH · Hybrid

AVY) is a global materials science and digital identification solutions company. We are Making ... Translate Quality business requirements into clear technical specifications, directing relevant IT ...

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Showing results 41-60

All JobsData Science JobsDirector Data Science JobsDirector Data Science Jobs in Ohio

Director Data Science information

See Ohio salary details

$51.3K

$147.2K

$232K

How much do director data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for director data science in Ohio is $147,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $180,200.00 per year, depending on experience, location, and employer.

What is a director data science?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What types of teams and professionals will I collaborate with as a director data science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

What are the key skills and qualifications needed to thrive in the director data science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

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 Director Data Science jobs in Ohio?

For Director Data Science jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Director Data Science jobs in Ohio look for?

The top searched job categories for Director Data Science jobs in Ohio are:

What cities in Ohio are hiring for Director Data Science jobs?

Cities in Ohio with the most Director Data Science job openings:

Director Data Science jobs near you
Infographic showing various Director Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $147,237 per year, or $70.8 per hour.

Director, Product Management - Data Intelligence Foundation

Relativity

Columbus, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Posting Type

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence.
The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role.
The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and Requirements

Whatyou'llown

The full PM layer across multiple engineering orgs:

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams canbuild onwith confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structuredetermineshow easily the organization can navigate between "slow data" and "fast data" use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodesmeaning:what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ yearsleading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an API contract, contribute to engineering scope decisions, and articulate the trade-offs in a data consistency model.

  • Demonstrated ability to manage and build a PM team through hiring, leveling, and establishing product practice for a new domain

  • Bachelor's degree in Business, Computer Science, Engineering, or Design, or comparable work experience

Preferred qualifications

  • Experience building at companies where the data platform is the product, not a supporting system.Snowflake, Databricks, Elastic, MongoDB, Palantir, and similar are strong indicators of the right background.

  • Experience building for AI systems, agents, or ML pipelines as primary consumers. You understand what a model needs from data that a humandoesn't, and you design for both.

Ways of working

  • Engineering credibility is paramount.You will be in technical discussions with skilled and knowledgeable engineering leaders regularly.You need to be a peer in those conversations, not a relay.

  • Organizational cadence.Youestablishthe operating rhythm for a multi-pillar PM org: the forum structure, planning cadence, and decision frameworks that let the team move with velocity and alignment. When priorities conflict across pillars, you hold the trade-off clearly and resolve it cleanly.

  • Internal GTM ownership.Adoption of the Foundational Layer means every product team at Relativity builds with it. You define how internal teams discover, integrate, and get value from platform services, and you measure it. This is a product strategy job and a change management job simultaneously.

  • Coaching a scaling PM org.You build PM capability, not just PM headcount, leveling people up while running at speed.

  • Cross-functional influence without authority.Youdon'tcontrol the teams that need to adopt what you build. You make the new path clearly better and bring teams along through clarity, evidence, and trust.

  • Directional clarity under ambiguity.Several of these primitives are being defined as the engineering teams build. You make good decisions with incomplete information and update them whenrequired.

  • Legal domain expertise is notrequired.However, internalizing why defensibility, chain of custody, and auditability are first-class design requirements.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$188,000 and $282,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

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