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Data Ethics Jobs in Ohio (NOW HIRING)

Translate data into board-ready insights - surfacing hotspots, emerging risks, and mitigation ... Represent Ethics & Compliance in internal governance forums - with Legal, Internal Audit, Finance ...

$91K - $109K/yr

Responsibilities / Tasks The Industrial Data Engineer is responsible for designing, developing, and ... Strong ethics, compliance, and professionalism * Commitment and alignment with business strategies ...

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Data Ethics information

See Ohio salary details

$43.7K

$156.9K

$231.5K

How much do data ethics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data ethics in Ohio is $156,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,600.00 per year, depending on experience, location, and employer.

What is a data ethics?

A Data Ethics job involves ensuring that data is collected, stored, and used in a responsible, fair, and transparent manner. Professionals in this role develop guidelines, assess risks, and implement ethical policies to address issues like bias, privacy, and data misuse. They collaborate with data scientists, legal teams, and policymakers to align data practices with ethical and legal standards.

What are the key skills and qualifications needed to thrive in data ethics?

A strong background in data governance, privacy law, and ethical frameworks is critical for success in data ethics roles, often supported by degrees in data science, law, or related fields. Familiarity with data protection regulations (like GDPR or CCPA), risk assessment tools, and certifications such as CIPP or CDPSE is highly valued. Excellent communication, critical thinking, and cross-functional collaboration skills help professionals effectively advocate for ethical data practices and influence key stakeholders. These competencies ensure organizations responsibly manage data, maintain compliance, and build public trust.

What are some common challenges faced by professionals in data ethics?

Professionals in data ethics often encounter challenges such as balancing business objectives with privacy concerns, navigating evolving regulations, and identifying potential ethical risks in new technologies. They regularly collaborate with legal, compliance, IT, and product development teams to implement policies and ensure ethical data use throughout the organization. Additionally, the rapidly changing landscape of data-related laws and emerging technologies requires continuous learning and adaptability. Overcoming these challenges is essential for fostering responsible data practices and protecting both organizational and public interests.

What does a data ethicist do?

A data ethicist evaluates ethical issues related to data collection, use, and management. They develop guidelines to ensure responsible data practices, often working with data scientists and engineers to address privacy, bias, and fairness concerns in data-driven systems.

What are the most commonly searched types of Data Ethics jobs in Ohio?

The most popular types of Data Ethics jobs in Ohio are:

Infographic showing various Data Ethics job openings in Ohio as of August 2026, with employment types broken down into 46% Full Time, 27% Part Time, and 27% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $156,882 per year, or $75.4 per hour.

Associate Data Owner-US Wealth Management

JPMorgan Chase & Co.

Columbus, OH • On-site

$90 - $120/hr

Other

Posted 25 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

If you like making complex data clearer, safer, and easier for teams to use, this role is for you.JPMorgan Wealth Management needs passionateData Owner Associatesto support product data end-to-end—help make it trusted, well-governed, and ready to power analytics and delivery. You’llsupport a single product’s data enablement, publishing, and governance—working alongside a VP Data Owner to keep priorities moving and turn data into reliable outcomes.

As anAssociate Data Owner on theUS Wealth Management Data & Analyticsteam, you support end-to-end enablement, publishing, and governance for all data created and used by an aligned product under the direction of a VP Data Owner. You help define and document product data—business definitions, metadata, classifications, and quality expectations—so it is discoverable, understood, and fit for purpose. You assist with monitoring, issue management, and cross-functional coordination to improve data quality and reduce data risk across the lifecycle.

Job Responsibilities
  • Support the product’s data agenda across creation, ingestion, publishing, and consumption
  • Assist in establishing data quality requirements and monitoring for accuracy, completeness, timeliness, and lineage.
  • Support delivery of data pipelines and products by tracking dependencies, coordinating handoffs, and reinforcing Agile execution across workstreams.
  • Document business definitions, metadata, and classifications so critical data is discoverable and consistently understood
  • Maintain data governance artifacts such as inventories, controls evidence, and procedures to support ongoing compliance and audit readiness
  • Perform data profiling and validation to identify anomalies, gaps, and trends impacting downstream use
  • Partner with technology and data delivery teams to support root cause analysis and remediation execution
  • Communicate updates, risks, and decisions through well-structured documentation and stakeholder routines.
  • Contribute to continuous improvement by identifying process bottlenecks and proposing pragmatic fixes
Required Qualifications, Capabilities and Skills
  • 3+ years of experience in data delivery, analytics enablement, data governance, or adjacent roles
  • Use SQL to analyze data, validate quality, and support investigations across relational or big data platforms
  • Demonstrate ability to execute reliably in a fast-paced, stakeholder-rich environment with clear follow-through
  • Communicate effectively with both technical and non-technical partners via written updates and presentations.
  • Think analytically, breaking down ambiguous problems into actionable steps and measurable outputs
  • Manage multiple priorities with strong organization, attention to detail, and time management
  • Learn quickly and apply feedback to improve deliverables and operating routines.
  • Hold a Bachelor’s degree or equivalent experience
Preferred Qualifications, Capabilities and Skills
  • Bring experience in financial services, wealth management, or client/advisor data domains
  • Utilize data catalogs, lineage tools, and data quality monitoring solutions
  • Apply experience working with Agile teams and participating in ceremonies (planning, standups, retrospectives, etc.)
  • Leverage exposure to CRM and sales platforms (e.g., Salesforce) and related data flows
  • Use Python or ETL tooling for profiling, wrangling, and repeatable data quality checks
  • Demonstrate understanding of data governance, data ethics, and responsible data use in regulated environments
  • Embrace a growth mindset and continuous learning of modern data patterns and tooling
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