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Data Manager Jobs in York, PA (NOW HIRING)

Cleveland Brothers

Data Steward

Harrisburg, PA · On-site

Collaborate with various stakeholders and leaders to implement data management strategies, policies, and governance frameworks * Helps to identify, report, analyze, and resolve data issues related to ...

Harley-Davidson

Data Steward

York, PA · On-site

Impacts quality of their own work by managing data with confidence, while planning and prioritizing their projects and the work of others on their team * Utilizes technical experiences and judgement ...

Harley-Davidson

Data Steward

York, PA · On-site

Impacts quality of their own work by managing data with confidence, while planning and prioritizing their projects and the work of others on their team * Utilizes technical experiences and judgement ...

Harley-Davidson

Data Steward

York, PA · On-site

Impacts quality of their own work by managing data with confidence, while planning and prioritizing their projects and the work of others on their team * Utilizes technical experiences and judgement ...

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All JobsData JobsData Manager JobsData Manager Jobs in York, PA

Data Manager information

See York, PA salary details

$30.5K

$95.6K

$169.3K

How much do data manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data manager in York, PA is $95,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $123,500.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What are the key skills and qualifications needed to thrive as a data manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

What are the most commonly searched types of Data jobs in York, PA?

The most popular types of Data jobs in York, PA are:

What job categories do people searching Data Manager jobs in York, PA look for?

The top searched job categories for Data Manager jobs in York, PA are:

What cities near York, PA are hiring for Data Manager jobs?

Cities near York, PA with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in York, PA as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $95,607 per year, or $46 per hour.

Enterprise Data Architect

Global Data Consultants

Harrisburg, PA • On-site

Full-time

Posted 27 days ago

Job description

Overview
GDC IT Solutions is currently seeking an Enterprise Data Architect to work in a hybrid capacity, with 3-4 days on-site per month in Harrisburg, PA.
As an Enterprise Data Architect, you will be responsible for defining and evolving the Commonwealth's enterprise information architecture and reusable data products to support modernization, transformation, analytics, and future AI initiatives.
Responsibilities
Responsibilities
  • Define conceptual and logical data models, canonical models, and enterprise information standards for common business entities.
  • Design and evolve enterprise information architecture that incorporates data classification, privacy, security, regulatory, and interoperability requirements by design.
  • Define relationships between enterprise and domain-specific data assets and establish appropriate data domains, boundaries, stewardship, and ownership models.
  • Partner with product, engineering, platform, cloud, integration, and data teams to translate business concepts into scalable technical designs and reusable enterprise data products.
  • Support large-scale modernization initiatives by analyzing legacy systems, identifying information assets suitable for enterprise reuse, and developing data migration and target-state architecture strategies.
  • Define schemas, interfaces, metadata, data quality requirements, and other architectural standards for reusable data products.
  • Establish data architecture principles, standards, best practices, and guidelines related to data catalogs, lineage, observability, security, and interoperability.
  • Define business data definitions and data quality expectations while supporting the implementation of data quality initiatives and tooling.
  • Promote API-first and product-based approaches to enterprise information sharing while helping prevent duplication of data structures across applications and agencies.
  • Ensure enterprise data products are discoverable, governed, and structured to support future AI use cases, including semantic layers, knowledge graphs, and natural language access to enterprise information.

Minimum Qualifications
  • Minimum of 10 years of experience in data architecture, information architecture, or enterprise architecture.
  • At least 8 years of hands-on experience in data architecture, data engineering, or advanced database design and modeling, including experience designing or implementing data warehouses, data marts, and Master Data Management (MDM) concepts and tools.
  • At least 5 years of experience working with modern data platforms and cloud-based ecosystems, including technologies such as Snowflake, Databricks, MongoDB, AWS, Azure, or GCP.
  • Demonstrated experience supporting large-scale modernization or digital transformation initiatives across multiple business domains and stakeholder groups.
  • Experience designing and implementing data quality initiatives, including associated platforms and tooling.
  • Experience working with data security, privacy, and regulatory requirements for sensitive data.
  • Demonstrated ability to work effectively across business and technical domains with strong communication and collaboration skills.
  • Proven ability to independently develop work plans, resolve ambiguity, and lead teams without direct authority.
  • Bachelor's degree in Computer Science, Information Systems, Systems Programming, or a related field, or an equivalent combination of relevant education and experience.

Preferred Experience
  • Experience working with unstructured data and modern approaches to enterprise information architecture.
  • Experience supporting AI and advanced analytics initiatives through governed, discoverable, and reusable enterprise data products.
  • Experience with semantic layers, knowledge graphs, natural language access, or other AI-enabling data architecture capabilities.
  • Experience in the public sector, healthcare, or financial services industries.
  • Previous experience serving as a Principal Architect, Enterprise Information Architect, Solution Architect, or similar senior architecture role within large enterprise environments or modernization initiatives.

What We Do:
Working for GDC means you will be at the forefront of the technological world. We are a full-service staffing and Information Technology service company striving to make a difference in our communities by finding, developing, and deploying solutions.
Why Work for GDC?
  • Cutting Edge Technology and Innovation
  • Career Growth Opportunities
  • Employee-Centric Environment
  • Comprehensive Benefits Package
  • Holiday and Vacation

Equal Opportunity Workplace:
GDC is an equal opportunity employer and welcomes applicants from all diverse backgrounds to apply. Our goal as an organization is to empower our teams to achieve their personal best and foster their professional growth regardless of race, ancestry, religion, sex, gender, national origin, sexual orientation, age, citizenship, marital status, physical ability or disability, or veteran status.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification forms upon hire.
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