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Data Modernization Jobs in Ohio (NOW HIRING)

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Martech Platform Data Lead

Columbus, OH · Hybrid

Support platform data modernization across marketing automation, customer decisioning, CRM, and customer communications tools. * Partner with Risk, Legal, Compliance, and data governance teams to ...

New

TriOptus LLC

Snowflake Data Engineer

Cincinnati, OH · On-site

Experience supporting strategic data modernization and cloud transformation About the team: Client is in Cloud Data Platform team provides big Data capabilities including large scale data processing ...

Deloitte

Sr Databricks Data Engineer

Cincinnati, OH

$109K - $131K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Deloitte

Sr Databricks Data Engineer

Columbus, OH

$110K - $132K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Deloitte

Sr Databricks Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Prolink

Finance Data Manager (2026-3264)

Cincinnati, OH · On-site

Experience leading future-state reporting and data modernization initiatives. Candidates with additional and relevant experience, education, licensing, or certification beyond the role's requirements ...

Palmer Holland

Analytics Engineer

Westlake, OH · On-site

... Data Modernization & AI program. • Capture feedback from business users and help prioritize improvements with the Director of Data Enablement. Priority Use Case Support • Executive KPI and ...

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Data Modernization information

What jobs pay $500,000 a year in the US?

In the field of data modernization, senior roles such as Chief Data Officer, Data Science Director, or Vice President of Data often have salaries reaching or exceeding $500,000 annually, especially in large organizations. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and may include performance bonuses and stock options.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and often involve overseeing large teams and strategic initiatives.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics and automation techniques to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization professionals, data analysts, and database administrators are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and strategic decision-making. These roles involve managing complex data systems, ensuring data quality, and applying domain expertise that AI cannot fully replicate. Skills in data governance, programming, and understanding AI tools will enhance job security in this field.
What are popular job titles related to Data Modernization jobs in Ohio? For Data Modernization jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Ohio look for? The top searched job categories for Data Modernization jobs in Ohio are:
What cities in Ohio are hiring for Data Modernization jobs? Cities in Ohio with the most Data Modernization job openings:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Sr Manager, Data Technical Product Ownership

Sr Manager, Data Technical Product Ownership

McKesson Corporation

Columbus, OH • On-site

$128K - $213K/yr

Full-time

Posted 4 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
The Senior Manager, Data Technical Product Ownership at CoverMyMeds leads a team of Technical Product Owners and Data Engineering Analysts who serve as the critical bridge between business/product needs and technical data delivery. This role is accountable for building a high-performing TPO function that drives consistent execution intake and backlog governance for the Data Technology & Operations (DT&O) team. The role partners closely with Product teams, CDAO Data Domain Owners, and the CDAO Portfolio Owner on product-level business requirements and prioritization, while ensuring technical delivery aligns with platform modernization goals.
This position emphasizes establishing best-in-class practices for data technical product ownership, ensuring that data solutions effectively support product delivery and platform modernization without duplicating product ownership responsibilities.
What You'll Do:
  • Lead, mentor, and grow a team of Technical Product Owners to deliver high-quality data solutions with strong execution discipline and business alignment
  • Establish and mature best practices for backlog management, intake processes, prioritization, and technical sequencing across data domains.
  • Partner with Product, Engineering Managers, and domain stakeholders to clarify requirements and translate roadmap initiatives into sequenced technical work
  • Ensure consistent execution intake and governance processes that balance immediate support needs with platform modernization priorities
  • Drive continuous improvement of TPO practices, including documentation, workflow redesign, and cross-team collaboration standards
  • Participate in planning activities to align TPO work with broader roadmap and platform enablement goals
  • Provide leadership visibility into team capacity, velocity, risks, and delivery tradeoffs
  • Serve as a key point of escalation for cross-functional sequencing and prioritization decisions

Basic Requirements:
  • Degree or equivalenet, and typically requires 9+ years of relative experience and 1+ years of management experience
  • Strong experience in technical product ownership, data analysis, delivery governance, or platform enablement roles
  • Demonstrated ability to build and lead high-performing teams in complex, matrixed environments
  • Deep understanding of data engineering workflows, backlog management, and technical sequencing best practices
  • Experience engaging with Product, Engineering, and business stakeholders to translate requirements into deliverable technical work
  • Excellent communication and influence skills, with the ability to negotiate tradeoffs and present to both technical and non-technical audiences
  • Highly organized with strong facilitation skills for prioritization and planning sessions

Preferred Skills:
  • Experience in shared services, platform delivery, or data modernization programs
  • Familiarity with modern cloud data platforms (e.g., Databricks, Azure) and data engineering best practices
  • Background in Agile delivery models (Scrum, SAFe) and the ability to adapt practices to data and platform environments
  • Knowledge of healthcare data and regulatory considerations
  • Proven track record of building scalable intake, governance, and execution processes

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$128,300 - $213,800
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
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